Dear all,
We are happy to announce that the LASLA Latin corpus has been published Open Access under a CC-BY-NC-SA 4.0 license. The portion of the LASLA corpus published comprises ca 1.7 million tokens of works from the Classical period, manually annotated with the following information: lemma, Part-of-Speech, morphological features, partial syntactic information, and metadata. The LASLA has ongoing annotation projects, whose results will be uploaded to the Dataverses when they are finalised. We hope to provide a service to the community focusing on Latin linguistics and Latin literary studies, as well as to serve the most recent NLP trends.
The corpus can be accessed in three Dataverses, each containing one specific format. We recommend using the “Tree View” to have an idea of what files can be found in the Dataverse.
* DAT and APN (resp. https://doi.org/10.58119/ULG/27VZID and https://doi.org/10.58119/ULG/QJJ0SA) are published with detailed documentation on the codes used and all the annotation choices implemented by the LASLA across the years. We hope that such documentation can support an optimal exploitation of the data by external researchers.
* BPN files (https://doi.org/10.58119/ULG/49UQNU), which were previously shared with Data Transfer Agreements with external partners. Beyond documentation purposes, this Dataverse also provides the original version on which the CoNLL-U format was based (see below)
The LASLA files can be exploited via (free) online interfaces: Opera Latina<http://cipl93.philo.ulg.ac.be/OperaLatina/> (for which an account can be requested by contacting Lauren Simon, email L.Simon(a)uliege.be<mailto:L.Simon@uliege.be>), which enables structured searches through the files; HyperbaseWeb<http://hyperbase.unice.fr/hyperbase/> (Latin bases), for which you find documentation here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…> and here<https://margheritafantoli.wordpress.com/2021/04/22/having-fun-with-hyperbas…>, and that does not require an account. HyperbaseWeb allows complex statistical queries to be carried out.
Following the Data Transfer Agreement for BPNs, an intense collaboration with the LiLa ERC project<https://lila-erc.eu/> started. The output of this collaboration is the following:
* The LASLA corpus is linked to the LiLa Knowledge Base and can be queried, jointly with all the other resources linked, via the LiLa Interactive Search Platform<https://lila-erc.eu/LiLaLisp/> and SPARQL<https://lila-erc.eu/sparql/> endpoint. The triples of the linking are published openly here.
* The LiLa team has converted the BPN files into CoNLL-U files, enriching the annotation with the URIs of tokens and lemmas as they are found in the LiLa Knowledge Base. This version of the corpus can be found on Zenodo<https://doi.org/10.5281/zenodo.5961377> and Github<https://github.com/CIRCSE/LASLA>.
We hope that this collaboration will trigger many others, with other partners enriching and providing new exploitation pathways for the LASLA corpus.
For the moment, have fun!
With kind regards,
The LASLA and LiLa teams
Prof. Marco C. Passarotti
Computational Linguistics
Index Thomisticus Treebank https://itreebank.marginalia.it/
ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994)
CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html
[cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan]
[http://static.unicatt.it/ext-portale/5xmille_firma_mail_2023.jpg] <https://www.unicatt.it/uc/5xmille>
First CFP: Special issue on ‘The AI Interface: Designing for the Ideal Machine-Human Experience’ - Computers in Human Behavior
The AI Interface: Designing for the Ideal Machine-Human Experience
In this call, we are looking to expand on our understanding of the psychology of design, into the way in which we deliberate and design for AI interfaces such as chatbots, robotics, IoT, AI assistants, and more. Artificial intelligence (AI) and machine learning (ML) are transformative technologies that organizations everywhere are investing heavily in. AI has the ability to replicate tasks that require human intelligence utilizing probabilistic outcomes based on existing real-world data to predict future outcomes. ML uses large amounts of data to create and validate decision logics often mimicking biological neuron signals such as in deep learning or natural language processing (NLP). No-code tools allow business analysts to make ML predictions even without ML experience. In this special issue we evaluate the role of AI in Human Perception and Inferences. We are looking to expand how to design for the ideal machine-human experience, essentially interfaces that AI is incorporated within.
Guest editors:
Aparna Sundar asundar(a)uw.edu
Karen Machleit k.machleit(a)uc.edu
Udo Kruschwitz Udo.Kruschwitz(a)ur.de
Tony Russell-Rose truss003(a)gold.ac.uk
Special issue information:
User perception can vary in several ways due to individual differences, environmental factors and cultural differences. All this impacts user experiences. User inferences are mental processes that allow individuals to draw conclusions, make judgments and generate new knowledge based on the information they are exposed to. Both perception and inferences influence the ultimate user experience. In AI, design of systems that are transparent, intuitive, and align with the users’ needs and expectations is vital. With the explosion of technological investment and innovation in this domain, the need for research is heightened. This is more so the case from a design and product development standpoint. User experience and research is essential to bridge the interface between AI and users. There is more to user experience in terms of user mental models, trust and transparency, in terms of: how psychology can influence the design of the machine-human interface, personalization and adaptability of AI assistants, and more. This call aims to address that gap.
As an example, one of the most critical aspects of interacting with AI is the language that AI uses in messaging, or in persuasion attempts. We know very little about the psychology of AI experience design. Research in the way marketers communicate to consumers indicate that there is a robust effect of message tone (Sundar & Cao, 2018 & Sundar & Paik, 2017), repetition of messaging (Sundar, Kardes & Wright, 2015), language structure and categorization (Schmitt & Zhang, 1998). While scholars have established the anthropomorphic relationship of individuals with AI assistants (Uysal, Alavi, & Benzencon, 2022), how individuals react or respond to AI needs more investigation. Toward this end, this call aims to bridge the cross discipline of communication, marketing and judgement and decision making. Research in this area is aimed to amplify how humans perceive communication, especially when claims come for AI assistants or sources that are not perceived to be human.
This call aims to mobilize articles that explore considerations in the evolution of AI and ML in human behavior. Very specifically, we seek articles that bring out complexities of AI/human interactions, possible human perceptions, and learnings to improve ML and inferences on both the human and machine side that can transform technologies meaningfully. Given the role of AI and ML in the digital evolution of computers, this special issue emphasizes the human response, or psychology toward transformative digital technologies. Some areas that AI influences human perception and inferences are:
1. Machine-Human Interface: Nature of anthropomorphic communication in the machine-human Interface (Schmitt & Zhang, 1998; Uysal, Alavi & Benzencon, 2022)
2. User inferences as it influences user experience: AI uses sensemaking to make meaning of the language humans use to the communicate with. (Cabrera et. al., 2023). Articles on how mental models of users communicating with AI are formulated, AI assistant modality etc.
3. Consumer perception and user behavior: Humans react to the tangible aesthetics of product (Sundar, Cao & Machleit, 2020) How consumers behave when presented with information from AI assistants
4. Personalization and Adaptability: Gao and Liu (2022) note that the way in which personalization through the customer journey is important. Research exploring the role of personalization and adaptability of the AI assistant
5. Transparency and Explainability: Sources that AI assistant get their information from
6. Clarity of Communication: Style, tone, language all make a difference in perception (Sundar & Cao, 2018) and extensions to research to AI assistant communication
7. Trust in AI Technologies: Trust is a multi-faceted construct in interpersonal relationships, and research investigating how to boost trust in AI are needed, what Trustworthy AI (Kaur et. al 2022), is and how companies can build this in the AI development
To extend the literature and understanding on how designers and product developers can improve AI assistants or user experiences, this call invites a multi-disciplinary investigation into the psychology of designing influencing AI experiences. The psychology of design encompasses many domains such as visual design, language, auditory consideration and other perceptual cues that ultimately impact behavior. This call therefore invites researchers to submit original papers that address the following areas:
1. Considerations in AI design: The various forms that AI assistants can take, considerations of situation, where best to locate AI and how best it can help the user and others.
2. AI Interactions: This can be multi-modal, visual, haptic, auditory or other manifestations of AI in improving the lives of users. Ultimately research that investigates the use and reactions to AI in the IoT and other forms and others.
3. Experience and learnability: Research papers that examine the different learning models of AI and the way in which information that is factually mature versus grounded in commonsense and has the most implications for users. Research investigating effectiveness of AI maturity and others.
4. Machine and Human interaction: Research extending the literature on Anthropomorphism to the AI domain and others.
5. Use of AI in specific domains: The implications of AI assistants are far reaching and can influence evaluative considerations from analysis of graphs, dashboards, e-commerce, to large statistical models, to writing, or transcribing etc. Research highlighting the nuances, challenges and how to overcome these and others.
A multi-disciplinary approach to research, with methodology that is relevant to the research questions is welcome. The paper should have strong implications on how current day AI design can be improved and how designers and product managers can think through human computer interaction to create incremental and improved experiences with AI.
Manuscript submission information:
All interested researchers are invited to submit your manuscript at: https://www.sciencedirect.com/journal/computers-in-human-behavior/about/cal…
The Journal’s submission system is open for receiving submissions to our Special Issue. To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important to select “VSI: Ideal Machine-Human Interface” when you reach the “Article Type” step in the submission process.
Full manuscripts will undergo double-blind review as per the usual procedures for this journal.
Deadline for manuscript submissions: Dec 31st, 2023
Inquiries related to the special issue, including questions about appropriate topics, may be sent electronically to the Executive Editor Dr. Aparna Sundar [asundar(a)uw.edu).
Learn more about the benefits of publishing in a special issue: https://www.elsevier.com/authors/submit-your-paper/special-issues
Important Dates:
Submission Deadline: Dec 31st 2023
Acceptance Deadline: Mar 31st 2024
Expected Publication Date: end of 2024
References:
Cabrera, Á. A., Tulio Ribeiro, M., Lee, B., Deline, R., Perer, A., & Drucker, S. M. (2023). What did my AI learn? how data scientists make sense of model behavior. ACM Transactions on Computer-Human Interaction, 30(1), 1-27.
Gao, Y., & Liu, H. (2022). Artificial intelligence-enabled personalization in interactive marketing: a customer journey perspective. Journal of Research in Interactive Marketing, (ahead-of-print), 1-18.
Kaur, D., Uslu, S., Rittichier, K. J., & Durresi, A. (2022). Trustworthy artificial intelligence: a review. ACM Computing Surveys (CSUR), 55(2), 1-38.
Schmitt, B. H., & Zhang, S. (1998). Language structure and categorization: A study of classifiers in consumer cognition, judgment, and choice. Journal of Consumer Research, 25(2), 108-122.
Sundar, A., & Cao, E. S. (2018). Punishing politeness: The role of language in promoting brand trust. Journal of Business Ethics, 164, 39-60.
Sundar, A., Cao, E., & Machelit, K. A. (2020). How product aesthetics cues efficacy beliefs of produce performance. Psychology & Marketing, 37(9), 1246-62.
Sundar, A., Kardes, F. R., & Wright, S. A. (2015). The influence of repetitive health messages and sensitivity to fluency on the truth effect in advertising. Journal of Advertising, 44(4), 375-387.
Sundar, A., & Paik, W. (2017). Punishing politeness: Moderating role of belief in just world on severity. Association for Consumer Research, 45, 903-905.
Uysal, E., Alavi, S., & Bezençon, V. (2022). Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features. Journal of the Academy of Marketing Science, 50(6), 1153-1175.
Keywords: Artificial intelligence interface, UX, design
*** Last Call for Workshop Proposals ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: October 13, 2023 AoE ***)
CAiSE is a well-established, highly visible conference series on Advanced Information Systems
(IS) Engineering. It covers all relevant topics in the area, including methodologies and
approaches for IS engineering, innovative platforms, architectures and technologies, and
engineering of specific kinds of IS. CAiSE conferences also have the tradition of hosting
workshops in related fields. Workshops are intended to focus on particular topics and provide
ample room for discussions of new ideas and developments.
CAiSE 2024, the 36th edition of the CAiSE series, invites proposals for workshops to be held in
conjunction with the main conference, related to the CAiSE topics, covering new emerging
topics and targeting innovative papers in special focus areas.
Prospective workshop organisers should specify whether they plan an event with a
presentation-oriented track, a discussion-oriented track, or both.
Presentation-oriented track
This track focuses on accepted papers with presentations followed by Q&A sessions, akin to
conferences. The proceedings of these workshops are intended to be published in a joint
volume in the Springer LNBIP series. Submissions must conform to the Springer LNCS/LNBIP
format and should not exceed 12 pages. According to the Springer standards, the overall
acceptance rate cannot exceed 45%-50%.
Discussion-oriented track
This track emphasizes discussions facilitated by paper presentations revolving around novel
ideas and early-stage research. Since the main criterion for paper acceptance in such
workshops is relevance and potential for raising discussion, they are not expected to have
their proceedings in the Springer LNBIP volume.
The edition of a joint proceedings volume next to the LNBIP one for the discussion-oriented
track is underway. Proceedings shall be submitted to CEUR-WS.org for online publication.
Details on this aspect will be provided separately.
Proposal submission
Workshop proposals should be submitted via EasyChair at the following address: https://easychair.org/conferences/?conf=caise2024
Please select the Author role and the CAiSE 2024 Workshops track.
Prior contact with the workshop chairs (caise2024-workshops(a)easychair.org) is encouraged.
The organizer(s) of approved workshops will be responsible for advertising their workshop,
eliciting high-quality submissions, organizing the reviewing process of their workshop’s
papers according to the principles and guidelines of CAiSE, and collecting camera-ready
copies of accepted papers (verifying that they comply with the formatting rules). Organizers
(including co-organizers) are expected to attend their entire workshop.
Detailed instructions for workshop proposers
The proposal (up to 1000 words) should cover the following points:
• Workshop title, duration (1 day or 2 days), preferred date (3-4 June 2024)
• Workshop type (presentation-oriented or discussion-oriented, or both).
• Information on the organizers (PC chairs, other organizers who will be present at the workshop or are otherwise involved, including the person responsible for web presence and communication). Please include names, addresses, and affiliations, indicating the main responsible person. The submission should include a one-paragraph biographical sketch for each organizer, describing relevant qualifications and experience. Please specify at least one PC chair. PC chairs will not be allowed to submit papers to the workshop, but other organizers (who will have no oversight over the review process) are encouraged to do so.
• Purpose: What are the main goals of the workshop? Please list the workshop topics. How does the focus of the workshop differ from the main conference? How does the focus of the workshop differ from other potential CAiSE events? (Proponents are advised to look at the workshops and working conferences held at CAiSE 2022 and CAiSE 2023 and differentiate your scope from theirs.)
• Organization of the workshop: Specify the type of contributions, distribution into sessions, type of sessions, etc. Mention if you plan to have any keynote speaker (please note that the conference organization will not cover fees, travel expenses, accommodation and registration costs of keynote speakers). Include any special requirements regarding infrastructure and room layout.
• Tentative list of PC members.
• An estimate of the number of papers to be accepted, and the number of attendees. If applicable, short information on previous editions of the workshop series (this should include submission, acceptance, and attendance information). Short information on your plans for advertising your workshop and making it highly visible.
Services provided by CAiSE
• EasyChair installation for the management of the workshop submissions (each organizer will be made chair of their own workshop).
• Publication of papers in an LNBIP volume for presentation-oriented tracks, and in a CEUR-WS.org online volume for discussion-oriented tracks.
• One free workshop-only registration if more than 10 people are registered for the workshop. Organizers willing to attend the whole event (main conference) will have to register for the conference at their own expense.
• Local organizational infrastructure and administrative support (registration, badges, refreshments, beamers, screens, etc.). In particular, all venue issues (rooms, meals and catering, social dinner, etc.) as well as the management of the registrations and the financing/administrative issues will be handled by the CAiSE Organization Board and are not under the responsibility of the workshop organizers.
• Advertisement of the workshop on the CAiSE 2024 homepage and mailings.
Please note that the workshop may be canceled if the number of registrations is less than 10.
Also, in the case of workshops with topics that are similar, two or more workshops may be
suggested to merge together.
Key Dates
• Submission of workshops proposals (via Easychair): October 13th, 2023 (AoE)
• Workshop notifications: November 3rd, 2023
• Workshop paper submission (tentative, recommended for presentation-oriented tracks): March 6th, 2024 (AoE)
• Workshop paper decision (recommended for presentation-oriented tracks): April 3rd, 2024
• Camera-ready due (recommended for presentation-oriented tracks): April 22nd, 2024
• Author registration for workshops papers: April 22nd, 2024
• Workshops: June 3rd-4th, 2024
Contact
For more information and inquiries, please feel free and welcome to contact the Workshop
Chairs at the following address: caise2024-workshops(a)easychair.org
Call for online participation: ACM CIKM 2023, Birmingham, UK, October 2023
https://cikm2023.org
Registration is still open for online participation in the ACM
Conference on Information and Knowledge Management (CIKM) in Birmingham,
UK on October 23-25, 2023.
The conference will contain numerous presented papers of high quality,
applied and theoretical research findings. CIKM has a strong tradition
of speakers devoted to emerging areas of database management, IR, AI,
NLP, and related fields. An Industry Day will bring together
practitioners and academics.
We are very happy to present the following keynote speakers:
Chirag Shah (University of Washington): Generative AI and the Future of
Information Access
Yulan He (King’s College, London): Interpretable Natural Language
Understanding
Steffen Staab (University of Stuttgart & University of Southampton):
Knowledge Graphs for Knowing More and Knowing for Sure
Please see https://uobevents.eventsair.com/cikm2023/keynote-speakers for
details.
A list of accepted papers can be found at
https://cikm2023.org/accepted-papers.
Online Registration: https://cikm2023.org/registration-rates
Please visit https://cikm2023.org for more information.
--
Ingo Frommholz (he/him), PhD, FBCS, FHEA
Reader (~Associate Professor) in Data Science
ACM CIKM 2023 General Chair
Head of Data, AI, Interaction, Retrieval, and Language Group
http://dairel.org
Deputy Head Digital Innovations and Solutions Centre (DISC)
University of Wolverhampton, UK
Adjunct Professor, Bern University of Applied Sciences, Switzerland
Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org
Twitter: @iFromm | Mastodon: @ingo@idf.social
PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166
http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166
* EACL 2024: Call for System Demonstrations
Link: https://2024.eacl.org/calls/demos/
* Important Dates
Direct paper submission deadline: Monday 20 November 2023
Notification of acceptance: Monday 22 January 2024
Camera-ready papers due: Monday 5 February 2024
Main Conference: Monday – Wednesday 18–20 March 2024
All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”)
============================
* Topics of Interest
Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types:
- Natural Language Processing systems or system components
- Application systems using language technology components
- Software tools for Computational Linguistics research
- Software for analysis, demonstration, or evaluations
- Software supporting learning or education
- Tools for data visualization and annotation
- Development tools
- Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2024.
* Submission Guidelines
All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference.
Use this link to make your submission: https://softconf.com/eacl2024/demo-track/
Submissions must include the following:
1. A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). See examples of recently accepted demo papers in ACL 2023, EACL 2023, EMNLP 2022, ACL 2022 and NAACL 2022. The papers must be no more than six (6) pages long, plus unlimited extra space for an optional ethics/broader impact statement and also unlimited space for references. Please use the official ACL style files. Accepted papers will be given one additional page of content, so that reviewers’ comments can be taken into account. Any papers that do not follow the official style guidelines and page limits will be automatically rejected.
2. A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. To ensure accessibility for deaf or hard-of-hearing viewers, we encourage authors to caption videos prior to submission. A video of a user interacting with the system can also be used, but should be self-explanatory. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, Vimeo, or another website and include the link in your paper. If authors wish to prevent their videos from appearing on search engines, we recommend to mark them as unlisted (e.g., instructions on how to do this on YouTube).
In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited.
============================
* Submission Policy
The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before.
Authors submitting more than one demo paper to EACL 2024 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2024 will be rejected by all tracks.
* Reviewing Policy
Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty.
* Ethics Policy
Authors are required to honour the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work.
Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed.
* Best Demo Award
We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference.
* Contact Information
If you have questions that are not answered after reading this information, please email the program co-chairs at eacl2024demos(a)googlegroups.com .
* Demo Track Co-chairs
Nikos Aletras (University of Sheffield)
Orphée De Clercq (LT3, Ghent University)
Call for Participation: CIKM 2023 Industry Day
You can still register in-person for the industry day at the ACM
Conference on Information and Knowledge Management (CIKM) in Birmingham,
UK. The industry day takes place October 22 at the University of
Birmingham campus. It offers a range of industry-related and
high-profile talks by experts in the field.
Additionally, you can register online for the main CIKM event on October
23-25, 2023.
Industry Day In-Person and CIKM Online Registration:
https://cikm2023.org/registration-rates
The following talks are scheduled for the industry day (please also see
https://cikm2023.org/industry-day-programme):
Application and Evaluation of Large Language Models for the Generation
of Survey Questions
Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy and Peng Jiang
Unleashing the Power of Large Language Models for Legal Applications
Dell Zhang, Alina Petrova, Dietrich Trautmann and Frank Schilder
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics
365 Sales
Itzik Malkiel, Uri Alon, Yakir Yehdua, Shahar Keren, Oren Barkan, Royi
Ronen and Noam Koenigstein
Astrolabe: Visual Graph Database Queries with Tabular Output
Michael Miller
Type theory as a unifiying paradigm for data models
Christoph Dorn and Haikal Pribadi
Proactive and Automatic Detection of Product Misclassifications at
Massive Scale
Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick
and Gang Luo
Vigil: Effective end-to-end monitoring for large-scale recommender
systems at Glance
Priyansh Saxena and Manisha R
Comparative Analysis of Open Source and Commercial Embedding Models for
Question Answering
Georgios Balikas
Comparing Fine-Tuned Transformers and Large Language Models for Sales
Call Classification: A Case Study
Roy Eisenstadt, Abedelkader Asi and Royi Ronen
From User Activity Traces To Navigation Graph for software enhancement:
An Application Of Graph Neural Network (GNN) On a Real-world
Non-attributed Graph
Boukhraouba Ikram
Practical Lessons Learned From Detecting, Preventing and Mitigating
Negative Experiences in Facebook
Prathyusha Senthil Kumar
LAMM: Language Aware Active Learning for Multilingual Models
Ze Ye, Dantong Liu, Kaushik Pavani and Sunny Dasgupta
Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity
Hacer Turgut, Tan Doruk Yetki, Tayfun Arda Yücel and Ömür Bali
RT2S: A Framework for Learning with Noisy Labels
Indranil Bhattacharya, Ze Ye, Kaushik Pavani and Sunny Dasgupta
Looking forward to seeing you in Birmingham!
--
Ingo Frommholz (he/him), PhD, FBCS, FHEA
Reader (~Associate Professor) in Data Science
ACM CIKM 2023 General Chair
Head of Data, AI, Interaction, Retrieval, and Language Group
http://dairel.org
Deputy Head Digital Innovations and Solutions Centre (DISC)
University of Wolverhampton, UK
Adjunct Professor, Bern University of Applied Sciences, Switzerland
Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org
Twitter: @iFromm | Mastodon: @ingo@idf.social
PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166
http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166
INTRODUCTION
The CLEF Initiative (Conference and Labs of the Evaluation Forum) is a self-organized body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual and multimodal information with various levels of structure.
The CLEF Initiative is structured in two main parts:
- a series of Evaluation Labs, i.e. laboratories to conduct evaluation of information access systems and workshops to discuss and pilot innovative evaluation activities;
- a peer-reviewed Conference on a broad range of issues, including
- investigation continuing the activities of the Evaluation Labs;
- experiments using multilingual and multimodal data; in particular, but not only, data resulting from CLEF activities;
- research in evaluation methodologies and challenges.
Since 2000 CLEF has played a leading role in stimulating investigation and research in a wide range of key areas in the information retrieval domain. It has promoted the study and implementation of appropriate evaluation methodologies for diverse types of tasks and media. Over the years, a wide, strong, and multidisciplinary research community has been built, which covers and spans the different areas of expertise needed to deal with the breadth of CLEF activities, making CLEF one of the top venues for information access.
CALL FOR BIDS
The CLEF Steering Committee solicits proposals from groups interested in organizing the CLEF conference and labs in September 2026.
Groups submitting a bid for CLEF 2026 also commit themselves to collect membership fees on behalf of the CLEF Association and to pass them to the CLEF Association.
Guidelines on submitting a bid can be found in the Template for Bids available at:
https://www.clef-initiative.eu/assets/CLEF-Template_for_bids.docx
Bids must be submitted by **Wednesday, December 20th, 2023** by email to the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu).
The Steering Committee will review and select the proposals. The Steering Committee can ask for modifications and changes to the proposals, if deemed necessary.
Interested parties can contact the Steering Committee Chair Nicola Ferro (chair(a)clef-initiative.eu) to receive further details.
IMPORTANT DATES
- Bid submission deadline: Wednesday, December 20th, 2023
- Feedback to bidders and discussion: January 2024
- Bid selection: late February 2024
STEERING COMMITTEE
- Avi Arampatzis, Democritus University of Thrace, Greece
- Alberto Barrón-Cedeño, University of Bologna, Italy
- Martin Braschler, Zurich University of Applied Sciences, Switzerland
- Khalid Choukri, Evaluations and Language resources Distribution Agency (ELDA), France
- Fabio Crestani, Università della Svizzera italiana, Switzerland
- Carsten Eickhoff, Brown University, USA
- Nicola Ferro, University of Padua, Italy
- Norbert Fuhr, University of Duisburg-Essen, Germany
- Anastasia Giachanou, Utrecht University, The Netherlands
- Lorraine Goeuriot, Université Grenoble Alpes, France
- Julio Gonzalo, National Distance Education University (UNED), Spain
- Donna Harman, National Institute for Standards and Technology (NIST), USA
- Bogdan Ionescu, University Politehnica of Bucharest, Romania
- Evangelos Kanoulas, University of Amsterdam, The Netherlands
- Birger Larsen, University of Aalborg, Denmark
- David E. Losada, Universidade de Santiago de Compostela, Spain
- Mihai Lupu, Vienna University of Technology, Austria
- Maria Maistro, University of Copenhagen, Denmark
- Josiane Mothe, IRIT, Université de Toulouse, France
- Henning Müller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland
- Jian-Yun Nie, Université de Montréal, Canada
- Gabriella Pasi, University of Milano-Bicocca, Italy
- Paolo Rosso, Universitat Politècnica de València, Spain
- Eric SanJuan, University of Avignon, France
- Giuseppe Santucci, Sapienza University of Rome, Italy
- Laure Soulier, Pierre and Marie Curie University (Paris 6), France
- Theodora Tsikrika, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Greece
- Christa Womser-Hacker, University of Hildesheim, Germany
The Joint 3rd International Conference on Natural Language Processing for Digital Humanities and 8th International Workshop on Computational Linguistics for Uralic Languages will be held in Tokyo, Japan.
The proceedings will be published in the ACL anthology. The event will take place on December 1-3 2023.
https://rootroo.com/en/joint-nlp4dh-iwclul-2023/
Submission deadline: October 8, 2023
Registration/publication fees: 0€!
The focus of NLP4DH is on applying natural language processing techniques to digital humanities research. The topics can be anything of digital humanities interest with a natural language processing or generation aspect. A list of suitable NLP4DH topics include but are not limited to:
-Text analysis and processing related to humanities using computational methods
-Dataset creation and curation for NLP (e.g. digitization, digitalization, datafication, and data preservation).
-Research on cultural heritage collections such as national archives and libraries using NLP
-NLP for error detection, correction, normalization and denoising data
-Generation and analysis of literary works such as poetry and novels
-Analysis and detection of text genres
We solicit original and unpublished work related to digital humanities and natural language processing (NLP4DH).
Short papers can be up to 4 pages in length (5 for camera-ready version). Short papers can report on work in progress or a more targeted contribution such as software or partial results.
Long papers can be up to 8 pages in length (9 for camera-ready version). Long papers should report on previously unpublished, completed, original work.
Lightning talks submitted as 750-word abstracts. Lightning talks are suited for discussing ideas or presenting work in progress. The abstracts will not be published or indexed and will only be made available on the conference website.
Accepted papers (short and long) will be published in the joint proceedings that will appear in the ACL Anthology. Accepted papers will also be given an additional page to address the reviewers’ comments. The length of a camera ready submission can then be 5 pages for a short paper and 9 for a long paper with an unlimited number of pages for references.
The authors of the accepted papers will be invited to submit an extended version of their paper to a special issue in the Journal of Data Mining & Digital Humanities.
Important dates
-Paper submission (full and short): October 8, 2023
-Notification of acceptance: November 3, 2023
-Camera ready deadline: November 17, 2023
-NLP4DH & IWCLUL in Tokyo: December 1-3, 2023
Call for workshops, tutorials & shared tasks
The PROPOR 2024 organizing committee invites shared task, workshop and
tutorial proposals to be held in conjunction with the conference.
PROPOR is the main scientific meeting in the area of language and speech
technologies for the Portuguese/Galician language. The event is supported
by the PROPOR steering committee. More details about past events, PROPOR
steering committee and the constitution can be found in PROPOR.org
CALL FOR SHARED TASK PROPOSALS
Shared tasks need to be focused on NLP for the Portuguese/Galician language.
Important dates
Shared task proposals: November 1, 2023.
Notification of decision: November 15, 2023.
Shared task web pages available and linked to the main site: January 2024.
Camera-ready of short papers of the systems participating in the Shared
task: February 1, 2024.
PROPOR 2024 Workshops (electronic proceedings due for online publication):
March 1, 2024.
Proposal Details
Proposals should be submitted via e-mail to
propor2024wsttut(a)googlegroups.com. They should be no more than three pages
in length and must include:
Description of the shared task: a title and a brief description of the
topic of the task and its potential impact on the NLP community and society.
Description of the target audience.
Description of the data sets that will be used in the shared task and their
readiness
Sketch of how the submitted systems will be evaluated.
Proposed timeline for the shared task mainly including the dates for
releasing trial, training and test data, and the evaluation period. This
timeline should preferably be between October 1, 2023 and January 31, 2024.
Contact information (address, email, and phone – WhatsApp) for all
organizers.
Designation of a main contact person.
The shared task organizers are responsible for:
Creating and distributing call-for-participation and any other relevant
advertising. The calls should make it clear that at least one author of
each participant system must attend the event. The call should clearly
describe the evaluation process.
Creating and publishing (on time) a website with all the relevant
information about the shared task.
Provide an extended abstract for the conference program.
Evaluate the submitted results.
It should be noted that the conference organization does not budget for
free registration, accommodation, or travel expenses for the shared task
organizers.
Prepare electronic proceedings volumes by the end of February 2024.
Attend the conference.
CALL FOR WORKSHOP PROPOSALS
The overall purpose of a workshop is to provide participants with the
opportunity to present and discuss novel research ideas on active and
emerging topics of computational processing of Portuguese, Galician and
their variants.
Workshops can take on several forms including (but not limited to) being
organized around emerging research areas, challenge problems and industrial
applications. The organizers of approved workshops are required to announce
the workshop and call for papers, gather submissions, conduct the reviewing
process and decide upon the final workshop program. They must also prepare
a set of workshop proceedings to be distributed with the registration
materials at the conference or in an electronic version. They may choose to
form organizing or program committees for assistance in these tasks.
Important dates
Workshop proposals due: November 1, 2023.
Notification of decision: November 15, 2023.
Workshop web pages available and linked to the main site. Workshop CFP
published: December 1, 2023.
Camera-ready of papers of the Workshop: February 1, 2024.
PROPOR 2024 Workshops (electronic proceedings due for online publication):
March 1, 2024.
Proposal Details
Proposals should be submitted via e-mail to
propor2024wsttut(a)googlegroups.com. They should be no more than three pages
in length and must include:
Description of the workshop: title, abstract, objectives, relevance and its
potential impact on the NLP community and society.
Motivation: why a PROPOR workshop on this topic is needed.
Description of the target audience.
List of core committed program committee members (2 to 3 members).
Preliminary list of invited speakers (if any).
For workshops previously held at PROPOR or other conferences, details on
venue, attendance, and number of submissions from previous years should be
provided.
For new workshops, a list of potential attendees/submissions and/or a
justification of the expected attendees and submissions.
Relevant experience of the organizing committee.
Duration of the workshop (full day or half day).
Contact information (address, email, and phone – WhatsApp) for all
organizers.
A draft Call for Papers.
Designation of a main contact person.
The workshop organizers are responsible for:
Creating and distributing call-for-papers, call-for-participation and any
other relevant advertising. The calls should make it clear that at least
one author of any accepted paper must attend the event and that papers will
be withdrawn if no such participation is secured with the payment of the
workshop dues. The call should clearly describe the review and selection
process. Finally, the calls must be framed to encourage as broad a
participation as possible.
Creating and publishing (on time) a website with all the relevant
information about the workshop.
Provide an extended abstract for the conference program.
Review (at least two independent reviewers) and select the submitted papers.
Schedule the presentations within the workshop.
It should be noted that the conference organization does not budget for
free registration, accommodation, or travel expenses for the workshop
organizers or their invited speakers. The workshop organizers should
therefore secure any source of funding/sponsorship deemed necessary for
their invited speakers.
Prepare electronic proceedings volumes by the end of February 2024.
Attend the workshop and select any required session chairs.
CALL FOR TUTORIAL PROPOSALS
Tutorials are intended to either provide a comprehensive introduction to
core techniques/areas of interest or address advanced topics of language
and speech processing including but not limited to the topics of the
conference as stated in the call for papers. Especially encouraged are
tutorials focusing on the computational processing of Portuguese, Galician
and their variants.
Important dates
Tutorial proposals due: December 1, 2023.
Notification of decision: December 15, 2023.
Tutorial descriptions due: February 1, 2024.
Tutorial course material due: March 3, 2024.
Expected Tutorial date: March 13, 2024.
Submission Details
Proposals for tutorials should contain:
A title and a brief description of the tutorial content and its relevance
to the PROPOR community (not more than 2 pages).
A brief outline of the tutorial structure showing that the tutorial’s core
content can be covered in a two- or three-hour slot (including a coffee
break).
The names, affiliations, email addresses, and websites of the tutorial
instructors, including a one-paragraph statement of their research
interests and areas of expertise.
A list of previous venues and approximate audience sizes, if the same or a
similar tutorial has been given elsewhere.
A description of special requirements for technical equipment (e.g.,
Internet access).
Submission will be done via email to propor2024wsttut(a)googlegroups.com.
Tutorial Speaker Responsibilities
Accepted tutorial speakers must provide an abstract of their tutorials for
inclusion in the conference registration material. The description should
be in the ASCII version that can be included in email announcements and
published on the conference website. Tutorial speakers must provide
tutorial materials, at least containing copies of the course slides, and a
bibliography for the material covered in the tutorial. Each tutorial will
be granted one registration to the main conference.
Shared task, Workshop and Tutorial co-chairs
Alberto Abad (INESC-ID, Portugal)
Alberto Simões – 2Ai Lab, School of Technology, IPCA (Barcelos, Portugal)
Helena Caseli – Universidade Federal de São Carlos (UFSCar, Brazil)
Contacts: Please send inquiries concerning shared tasks, workshops and
tutorials to propor2024wsttut(a)googlegroups.com
*** First Call for Papers ***
36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)
June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus
https://cyprusconferences.org/caise2024/
(*** Submission Deadline: November 24, 2023 AoE ***)
The CAiSE’24 organization calls for full papers with a special emphasis on the theme of
Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged
as a transformative technology, revolutionizing various industries, and its significance in
Information Systems cannot be overstated. AI-powered systems have the potential to
streamline operations, enhance decision-making processes, and drive innovation across
organizations. From data analysis to automated processes, AI is reshaping the way we leverage
information in the digital age. The relevance of AI in IS extends beyond internal operations.
AI-powered predictive analytics enables organizations to forecast trends, anticipate customer
needs, and optimize resource allocation. This empowers businesses to adapt swiftly to
changing market dynamics, gain a competitive edge, and make proactive decisions. AI
algorithms can also detect anomalies and patterns that indicate potential security breaches,
contributing to robust cybersecurity measures in information systems. However, while
acknowledging the benefits, it is essential to consider the ethical implications of AI in
information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining
transparency are vital aspects that need to be carefully managed and regulated to foster trust
and accountability.
In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award,
a journal special issue, and a PhD-thesis award:
• Best Paper Award‚ prize EUR 1000 (sponsored by Springer)
• A small selection of best papers will be invited to submit enhanced versions for
consideration in a special issue of Elsevier Information Systems journal dedicated to this
conference.
• PhD-Thesis Award
• Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE
Steering Committee and Springer)
Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS
format and should not exceed 15 pages, including all text, figures, references, and appendices.
Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out
of the scope of the conference, will be rejected without review. See the guidelines here:
https://www.springer.com/comp/lncs/authors.html .
The results described must be unpublished and must not be under review elsewhere. Three to
five keywords characterizing the paper should be listed at the end of the abstract. Each paper
will be reviewed by at least two program committee members and, if positively evaluated, by
one additional program board member. The selected papers will be discussed among the paper
reviewers online and during the program board meeting. As the review process is not blind,
please indicate your name and affiliation on your submission. Accepted papers will be
presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS)
conference proceedings.
We invite three types of original and scientific papers. The type of submission must be
indicated in the submission system. Each contribution should explicitly address the
engineering or the operation of information systems, clearly identify the information systems
problem addressed, the expected impact of the contribution to information system engineering
or operation, and the research method used. We strongly advise authors to clearly emphasize
these aspects in their paper, including the abstract.
Technical papers describe original solutions (theoretical, methodological or conceptual) in the
field of IS Engineering. A technical paper should clearly describe the situation or problem
tackled, the relevant state of the art, the position or solution suggested and its potential‚ as
well as demonstrate the benefits of the contribution through a rigorous evaluation.
Empirical papers evaluate existing problem situations including problems encountered in
practice, or validate proposed solutions with scientific means, i.e., by empirical studies,
experiments, case studies, experience reports, simulations, etc. Scientific reflection on
problems and practices in industry also falls into this category. The topic of the evaluation
presented in the paper as well as its causal or logical properties must be clearly stated. The
research method must be sound and appropriate.
Exploratory papers describe completely new research positions or approaches, in order to face
a generic situation arising because of new ICT tools, new kinds of activities, or new IS
challenges. They must precisely describe the situation and demonstrate why current methods,
tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present
their approach and demonstrate its pertinence and correctness in addressing the identified
situation.
The topics of contribution include but are not limited to:
• Novel Approaches to IS Engineering
◦ Artificial Intelligence and Machine Learning
◦ Robotic Process Automation (RPA)
◦ Big Data, Data Science and Analytics
◦ Blockchain applications in IS
◦ Simulation and Digital Twins
◦ IS for collaboration and social computing
◦ Virtual reality / Augmented Reality
◦ Context-aware, autonomous and adaptive IS
• Models, Methods and Techniques in IS Engineering
◦ Ontologies and Ontology Engineering
◦ Conceptual modeling, languages and design
◦ Requirements engineering
◦ Process modeling, analysis and improvement
◦ Process automation, mining and monitoring
◦ Models and methods for evolution and reuse
◦ Domain and method engineering
◦ Product lines, variability and configuration management
◦ Compliance and alignment handling
◦ Active and interactive models
◦ Quality of IS models for analysis and design
◦ Visualization techniques in IS
◦ Decision models and business intelligence
◦ Knowledge graphs
◦ Human-centered techniques
• Architectures and Platforms for IS Engineering
◦ Distributed, mobile and open architecture
◦ Big Data architectures
◦ Cloud- and edge-based IS engineering
◦ Service oriented and multi-agent IS engineering
◦ Multi-platform IS engineering
◦ Cyber-physical systems and Internet of Things (IoT)
◦ Workflow and Process Aware Information Systems (PAIS)
◦ Handling of real time data streams
◦ Content management and semantic Web
◦ Crowdsourcing platforms
◦ Conversational agents (chatbots)
◦ Microservices design and deployment
• Domain-specific and Multi-aspect IS Engineering
◦ IT governance
◦ eGovernment
◦ Autonomous and smart systems (smart city management, smart vehicles, etc.)
◦ IS for healthcare
◦ Educational Systems and Learning Analytics
◦ Value and supply chain management
◦ Industry 4.0
◦ Sustainability and social responsibility management
◦ Privacy, security, trust, and safety management
◦ IS in the post-COVID world
Submit your paper using the Easy Chair link:
https://easychair.org/conferences/?conf=caise2024 .
IMPORTANT DATES
• Abstract Submission: 24th November 2023 (AoE)
• Paper Submission: 1st December 2023 (AoE)
• Notification of Acceptance: 4th March 2024
• Camera-ready Papers: 5th April 2024
• Author registration: 5th April 2024
ORGANISATION
General Chairs
• Haris Mouratidis, University of Essex, UK
• Pnina Soffer, University of Haifa, Israel
Local Organizing and Finance Chair
• George A. Papadopoulos, University of Cyprus, Cyprus
Program Chairs
• Giancarlo Guizzardi, University of Twente, The Netherlands
• Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil
Other Committee Members
https://cyprusconferences.org/caise2024/committees/