First Workshop on Patient-Oriented Language Processing (CL4HEALTH) @ LREC-COLING 2024
https://bionlp.nlm.nih.gov/cl4health2024/
Torino, Italy (co-located with LREC-COLING 2024)
SCOPE
This first workshop on patient-oriented language processing aims to establish a general venue for presenting research and applications focused on patients’ needs, including summarizing health records for the patients, answering consumer-health questions using reliable resources, detecting misinformation or potentially harmful information, and providing multi-modal information, such as video, if it better satisfies patients’ needs. Such a venue is needed both to invigorate patient-oriented language processing research and to build a community of researchers interested in this area. The growing interest in this topic is fueled by several current trends:
- a proliferation of online services that target patients but do not always act in their best interests
- policy changes that allow patients to access their health records written in the professional vernacular, which may confuse the patients or lead to misinterpretation;
- replacement of customer services with chat bots; and
- the increasing tendency of patients to consult online resources as a second or even first opinion on their health problems.
We invite papers concerning all areas of language processing focused on patients’ health. The workshop will be centered on language technologies for health-related issues concerning the public that include, but are not limited to:
- accessibility and trustworthiness of health information provided to the public
- explainable and evidence-supported answers to consumer-health questions
- accurate summarization of patients’ health records at their health-literacy level
- understanding patients' non-informational needs through their language, and accurate and accessible interpretations of biomedical research
Broadly, CL4Health is concerned with the resources, computational approaches, and behavioral and socio-economic aspects of the public interactions with digital resources in search of health-related information that satisfies their information needs and guides their actions.
The topics of interest for the workshop include but are not limited to the following:
- Health-related information needs and online behaviors of the public
- Quality assurance and ethics considerations in language technologies and approaches applied to text and other modalities for public consumption
- Summarization of EHR data for patients
- Detection of misinformation in health-related resources and mitigation of potential harms
- Consumer-health question answering
- Biomedical text simplification/adaptation
- Dialogue systems to support patients’ interactions with clinicians, healthcare systems, and online resources
- Linguistic resources, data and tools for language technologies focusing on consumer health
- Resources, strategies and metrics for system testing and evaluation
- Infrastructures and pre-trained language models for consumer health
- Processing and annotation platforms
- Synthetic data generation and data augmentation.
IMPORTANT DATES
(Tentative)
March 15, 2024 - Paper submissions due
April 5, 2024 - Camera-ready papers due
May 20, 2024 - Workshop @ LREC-COLING
SUBMISSIONS
Two types of submissions are invited:
- Full papers: should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research.
- Short papers: may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc.
Electronic Submission: Submissions must be electronic and in PDF format, using the Softconf START conference management system. Submissions need to be anonymous. The submission site will be announced shortly.
Dual submission policy: papers may NOT be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication.
INVITED TALKS
- Barbara Di Eugenio, University of Illinois Chicago
- Abeed Sarker, Associate Professor and Vice Chair for Research in Biomedical Informatics @ Emory School of Medicine
- Natalia Grabar, CNRS Researcher, Université de Lille
ORGANIZERS
- Dina Demner-Fushman, US National Library of Medicine
- Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK
- Paul Thompson, National Centre for Text Mining and University of Manchester, UK
- Brian Ondov, US National Library of Medicine
Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 on Malta-March 17-22, 2024.
Workshop website: https://sites.google.com/view/teicai2024
Submission link: https://softconf.com/eacl2024/TEICAI-2024/
Submission Deadline: Monday, 18 December 2023 (anywhere on earth)
Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This, combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters.
Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems.
To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights in relation to conversational language technology and AI (e.g., chatbots, voice assistants, multimodal conversational interfaces).
Possible topics may include:
- Language ideologies in conversational AI
- Language rights in conversational AI
- Socio-cultural context in conversational AI
- Language inclusion in training data for enhancing inclusivity
- Incorporating non-verbal communication elements (gestures, emotions) in AI
- Sign language and multimodal conversational AI
- Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences)
- The sense of human agency and identity while interacting with conversational AI
- Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations)
- Linguistic discrimination in conversational AI
- Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations
We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf, and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The proceedings will be published in the ACL anthology.
Important dates:
Workshop paper due: December 18, 2023
Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024
Notification of acceptance: January 20, 2024
Camera-ready papers due: January 30, 2024
Proceedings due: February 7, 2024
Workshop dates: March 21-22, 2024
Workshop Organizers:
Sviatlana Höhn, LuxAI, Luxembourg
Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg
Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg
Angela Soltan, State University of Moldova, Moldova
Bettina Migge, University College Dublin, Ireland
Doris Dippold, University of Surrey, UK
Fred Philippy, Zortify, Luxembourg
Ekaterina Kamlovskaya, Translatables
Program Committee:
A list of program committee members is available on the workshop website.
For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com .
You can follow us on LinkedIn (TEICAI) and Twitter (teicai2024) to get more updates about the workshop.
On behalf of the organizers
Nina Hosseini-Kivanani
University of Luxembourg
The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City is looking for a Post Doc Researcher to start July 2024: https://jobs.careers.microsoft.com/global/en/job/1667778/Post-Doc-Researche… We will begin to review applications for the position on January 3, 2024.
This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the social implications of machine learning and AI.
As a Postdoctoral Researcher, you will define your own research agenda, driving forward an effective program of basic, fundamental, and applied research. You will also have the opportunity to collaborate with members of the research group, including Solon Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna Wallach, and Jennifer Wortman Vaughan, as well as others in the New York City lab and other Microsoft Research labs.
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of data sources, an open publications policy, and close links to top academic institutions around the world. Additionally, the position offers unique opportunities to engage with the broader responsible AI (RAI) ecosystem within Microsoft, including product teams, AI policy teams, and RAI practitioners.
We seek applicants with a demonstrated interest in FATE-related topics and a desire to work in a highly interdisciplinary environment that includes researchers from computer science, statistics, the social sciences, the humanities, and other fields. Successful candidates will also have an established research track record, evidenced by notable journal or conference publications and broader contributions to the research community.
We will consider candidates with a background in a technical field such as computer science (especially AI, machine learning, NLP, and computer vision), statistics, economics, and decision sciences as well as candidates with a socio-technical orientation, such as those in information science, sociology, anthropology, science and technology studies, media studies, law, and related fields.
We are especially interested in candidates who would like to pursue research aligned with one or more of the following themes:
• Computational, statistical, and sociotechnical approaches to fairness assessment: Data collection, experimental design, sample-efficient statistical methods, measurement, and visualization for fairness assessment; mixed-methods approaches, including participatory methods, for measuring fairness-related harms caused by AI and human-AI systems.
• Human-centered AI transparency: Explanation, evaluation, and uncertainty communication approaches to improve stakeholder understanding of AI models or systems; transparency approaches for improving human control, autonomy, oversight, and mitigation of AI harms; transparency in human-AI collaboration.
• Institutional, organizational, and economic challenges of AI development, deployment, and use: Challenges of translating real-world problems into machine learning tasks and integrating AI with existing institutional processes; incentives for and resistance to contributing training data; impacts of generative AI on the cultural industries; environmental impacts of generative AI systems.
• AI law and policy; AI for policymaking and regulation: How existing laws and policies apply to AI, and where new regulations might be necessary; AI as a tool for effective policymaking, regulation, and enforcement.
• Responsible AI in practice: Turning RAI principles into policies and practices; translating RAI research into practice; navigating organizational dynamics, competing incentives, and decision-making under uncertainty.
Candidates must have completed their PhD, including submission of their dissertation, prior to the start of the position (i.e., dissertation submitted and degree preferably conferred by July 2024). We encourage candidates with tenure-track job offers from other institutions to apply, provided they are able to defer their start date by at least one year to accept our position.
To be assured of full consideration, all application materials, including reference letters, need to be received by January 3, 2024. Applications received after that date may be considered until the position is filled.
This role is not to exceed two years.
CODI, 5th Workshop on Computational Approaches to Discourse: Final Call for Papers
2024-03-21 or 22 - EACL 2024 - Malta
** Submission deadline: December 20th, 2023 - No deadline extension **
Website link: https://sites.google.com/view/codi2024
Aims and scope
The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse phenomena as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few, but the problems in computational approaches to discourse are still substantial. At this juncture, we have organized four Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020, EMNLP 2021, COLING 2022 and ACL 2023 to bring together discourse experts and upcoming researchers. These workshops have catalyzed work to advance research on discourse level problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods.
The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse relation parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems in discourse. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress.
The 5th CODI workshop is planned as a 1 day event which brings together different subcommunities. It will feature invited talks and regular papers. We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers.
Topics of interest
We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse.
Topics of interest include, but are not limited to:
- discourse structure
- discourse connectives
- discourse relations
- annotation tools and schemes for discourse phenomena
- corpora annotated with discourse phenomena
- discourse parsing
- cross-lingual discourse processing
- cross-domain discourse processing
- anaphora and coreference resolution
- event coreference
- argument mining
- coherence modeling
- discourse and semantics
- discourse in applications such as machine translation, summarization, etc.
- evaluation methodology for discourse processing
Submissions
We solicit three categories of papers: regular (long and short) workshop papers, demos and extended abstracts. Only regular workshop papers and demos will be included in the proceedings as archival publications.
Double submission of papers is allowed but will need to be indicated at submission.
Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references.
Short papers can be up to 4 pages, plus unlimited pages for references.
Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references.
Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them.
Extended abstracts can describe work in progress. These may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings.
Paper accepted or rejected at one of the main conferences
We also invite presentations of paper accepted at another main conference, a specific deadline and submission process will be communicated later on. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings.
We will also consider for publication papers rejected at one of the main conferences (see the direct submission deadline below), authors will have to submit both the paper and the reviews. The submission process will be communicated later on.
Submission website
All submissions must be anonymous and follow the EACL 2024 formatting instructions described here:
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https://aclrollingreview.org/cfp
Please submit your workshop papers at https://softconf.com/eacl2024/CODI-2024/
Important dates
2023-12-20: CODI papers due
2024-01-17: Direct submission (papers rejected at a main conference)
2024-01-20: Notification of acceptance
2024-01-30: Camera ready deadline for main conference and CODI
2024-03-17 – 2024-03-22: CODI workshop
All deadlines are 11.59 pm UTC -12h ("anywhere on Earth").
Due to the tight schedule, there will be no deadline extension.
Invited Speakers
- Hannah Rohde, University of Edinburgh
- Manfred Stede, Potsdam University
Organizers
Chloé Braud, CNRS-IRIT
Christian Hardmeier, IT University of Copenhagen
Chuyuan (Lisa) Li, � University of British Columbia
Jessy Li, University of Texas, Austin
Sharid Loáiciga, University of Gothenburg
Michael Strube, Heidelberg Institute for Theoretical Studies
Amir Zeldes, Georgetown University
To contact the organizers, please send an email to: codi-workshop(a)googlegroups.com <mailto:codi-workshop@googlegroups.com>
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*** Apologies for cross-posting ***
Dear colleagues,
The School of Information Sciences (iSchool) at the University of
Illinois-Champaign is hiring for a tenure-track position in Data Curation &
Responsible Data Science (open rank). The application deadline is January
05, 2024. The expected start date is August 16, 2024.
For the full job announcement and application link, please see
https://illinois.csod.com/ux/ats/careersite/1/home/requisition/8864?c=illin….
Feel free to contact me if you have any questions.
Best regards,
--Halil
*HALIL KILICOGLU*
*Associate Professor*
School of Information Sciences
University of Illinois at Urbana-Champaign
halil(a)illinois.edu
https://ischool.illinois.edu/people/halil-kilicoglu
June 10-13, 2024, University of Colorado, Boulder
Held in conjunction with the UMR Parsing Workshop, June 14, 2024
https://umr4nlp.github.io/web/UMRParsingWorkshop.html
Impressive progress has been made in many aspects of natural language processing (NLP) in recent years. Most notably, the achievements of transformer-based large language models such as ChatGPT would seem to obviate the need for any type of semantic representation beyond what can be encoded as contextualized word embeddings of surface text. Advances have been particularly notable in areas where large training data sets exist, and it is advantageous to build an end-to-end training architecture without resorting to intermediate representations. For any truly interactive NLP applications, however, a more complete understanding of the information conveyed by each sentence is needed to advance the state of the art. Here, "understanding'' entails the use of some form of meaning representation. NLP techniques that can accurately capture the required elements of the meaning of each utterance in a formal representation are critical to making progress in these areas and have long been a central goal of the field. As with end-to-end NLP applications, the dominant approach for deriving meaning representations from raw textual data is through the use of machine learning and appropriate training data. This allows the development of systems that can assign appropriate meaning representations to previously unseen text.
In this four-day course, instructors from the University of Colorado and Brandeis University will describe the framework of Uniform Meaning Representations (UMRs), a recent cross-lingual, multi-sentence incarnation of Abstract Meaning Representations (AMRs), that addresses these issues and comprises such a transformative representation. Incorporating Named Entity tagging, discourse relations, intra-sentential coreference, negation and modality, and the popular PropBank-style predicate argument structures with semantic role labels into a single directed acyclic graph structure, UMR builds on AMR and keeps the essential characteristics of AMR while making it cross-lingual and extending it to be a document-level representation. It also adds aspect, multi-sentence coreference and temporal relations, and scope. Each day will include lectures and hands-on practice.
Topics to be covered June 10-13:
1. The basic structural representation of UMR and its application to multiple languages;
2. How UMR encodes different types of MWE (multi-word expressions), discourse and temporal relations, and TAM (tense-aspect-modality) information in multiple languages, and differences between AMR and UMR;
3. Going from IGT (interlinear glossed text) to UMR graphs semi-automatically;
4. Formal semantic interpretation of UMR incorporating a continuation-based semantics for scope phenomena involving modality, negation, and quantification;
5. Extension to UMR for encoding gesture in multimodal dialogue, Gesture AMR (GAMR), which aligns with speech-based UMR to account for situated grounding in dialogue.
The fifth day of the summer school, June 14, will be co-located with a UMR Parsing Workshop, focusing on parsing algorithms that generate AMR and UMR representations over multiple languages. https://umr4nlp.github.io/web/UMRParsingWorkshop.html
To apply, please complete this form by Jan. 30, 2024. https://www.colorado.edu/linguistics/umrs-boulder-summer-school-application
Other important dates:
● Notification of acceptance: Feb. 20, 2024
● Confirmation of participation: Mar. 1, 2024
● Arrival in Boulder June 9, departure June 15, 2024.
Participation will be fully funded (reasonable airfare, lodging, and meals). This summer school has been made possible by funding from NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), with additional support from the University of Colorado Boulder and the CLEAR Center.
UMR Parsing Workshop - First Call
University of Colorado, Boulder
June 14, 2024
This workshop will focus on developing parsers for Uniform Meaning Representations. The goal is to start from raw text from real-world settings that could be in any one of many typologically different languages, even low-resource languages for which there is little or no training data. This can be achieved by exploiting a common semantic annotation standard. This workshop has been made possible by funding for NSF Collaborative Research: Building a Broad Infrastructure for Uniform Meaning Representations (Award # 2213805), which is aimed at developing guidelines and annotation for cross-lingual Uniform Meaning Representations, based on the original Abstract Meaning Representation guidelines for English, but ensuring cross-linguistically consistent annotation and recoverability of the original raw texts.
This workshop will overlap with the last day of the Colorado UMR Annotation Summer School.
The workshop is open to everyone and will cover the fundamentals of UMR annotation and the differences between AMR and UMR. In addition to the talk from our invited speaker, there will be presentations on recent successful approaches to AMR parsing and how they can be applied to UMR parsing. We welcome submissions from anyone on related topics, such as:
● AMR or UMR parsing for any language
● AMR or UMR generation for any language
● Evaluation metrics for AMR or UMR parsing
● Bootstrapping of AMRs or UMRs from related semantic representations such as Propbanks
● Projections of English AMR onto other languages;
● Challenges of applying AMR annotation to languages other than English;
● Challenges of accurate multi-sentence coreference as a subtask of AMR parsing;
● Any other topic related to the parsing and generation of AMRs or UMRs.
Important dates
● Workshop paper submissions due: March 30, 2024
● Notification of acceptance: April 25, 2024
● Camera-ready versions due: May 30, 2024
Submissions
Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results.
Submission is electronic, using the Workshop submission site in Easy Chair. https://easychair.org/my/conference?conf=umrpw2024
Submissions must adhere to the two-column format of ACL venues, using the Overleaf template taken from ACL 2023. https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…
Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content; short papers must not exceed four (4) pages of content. References and appendices do not count against these limits.
To ensure double-blind reviews, papers must not include the authors’ names and affiliations or self-references that reveal any author’s identity. Papers that do not conform to these requirements will be rejected without review.
Dear Colleagues,
We are delighted to launch the Call for Paper for the *11th Inter-Varietal
Applied Corpus Studies (IVACS) Biennial Conference *which will be hosted by
the University of Cambridge, U.K., on Tuesday 16th and Wednesday 17th July
2024.
Conference website: https://www.ivacs2024.com/
Abstract deadline 20th December, 2023.
*Plenary Speakers*
We are delighted that the following researchers will be giving plenary
talks at the conference:
- Dr Brian Clancy <https://www.mic.ul.ie/staff/276-brian-clancy>
- Dr Geraldine Mark <https://profiles.cardiff.ac.uk/staff/markg2>
Please spread the word!
Best wishes,
Anne and Andrew
*Dr Andrew Caines, Conference Convenor, University of Cambridge*
*Prof. Anne O'Keeffe, Inter-Varietal Applied Corpus Studies (IVACS) Network
Director*
*Call for Papers*
*The 11th Inter-Varietal Applied Corpus Studies (IVACS) Biennial Conference*
We are particularly interested in papers in but not limited to the
following areas:
Strand 1 – Corpus Methods and Innovations: Innovations in Corpus Design,
Analysis and Annotation Tools; Critical Reflections on Corpus Methods;
Advances in Quantitative and Qualitative Approaches to Analysing Corpora;
Innovations in Statistics for CL.
Strand 2 – Corpus Linguistics, Pragmatics and Discourse: Corpus Approaches
to Discourse Analysis, Conversation Analysis, Critical Discourse Analysis;
Corpus Pragmatics; CL and Real-World Contexts (e.g. Media Discourse,
Classroom Discourse; Workplace Discourse).
Strand 3 – Corpus Linguistics and Applied Linguistics: Learner Corpus
Research; CL and Second Language Acquisition; Data-Driven Learning; CL for
Materials Development; CL and Teacher Education; CL and Lexicography.
Strand 4 – Corpus Linguistics, Literature, Texts and Register: CL and
Register Studies; Corpus Stylistics; CL and Literary Linguistics; CL and
Translation Studies; Forensic Linguistics.
Strand 5 – Corpus Linguistics and Speech: CL Speech Technology; CL and
Multimodality; Spoken Corpora; Corpus Phonology.
Strand 6 – Corpus Linguistics and Sociolinguistics: CL and Language Change;
Language Varieties and Variation; CL and Minority Language Studies.
Strand 7 – Computational Linguistics and Corpora: The use of Corpora for
Computational Linguistics research; Exploration and analyses of Corpora
using Computational Linguistic methods; Data collection and annotation for
Computational Linguistics.
*Abstract Submission and Timeline*
Full papers will involve a 20-minute presentation, plus 10 minutes for
questions and discussion.
Posters can present work in progress or summaries of completed studies,
research projects or other innovations. Posters will be printed in portrait
A0 size.
Abstracts will be 300 words (not including reference list, if any).
Note that the deadlines are 11.59 pm UTC -12h
<https://www.timeanddate.com/time/zone/timezone/utc-12> (“anywhere on
Earth”).
Abstract deadline
20th December, 2023
Notification
31st January, 2024
Conference
16th-17th July, 2024
Submission of abstracts: OpenReview
<https://openreview.net/group?id=IVACS/2024/Conference>
*Seeking Reviewers*
Would you have time to help us review the abstracts in January? Maximum 5
per person. Please sign up here <https://forms.gle/BkopQZ12esXMAnv36>
The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for
the workshop is at:
http://noisy-text.github.io/
The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and
translation; not computational social science) over user-generated text, such
as that found on social media, web forums, online reviews, digital health
records, or language learner essays.
We seek submissions of long and short papers on original and unpublished work
(same format and page limit as EACL main conference). All accepted
submissions will be presented as posters. Additionally, selected submissions
will be presented orally. There will be best paper awards for both short and
long papers.
Topics of interest include but are not limited to:
* NLP of noisy text, e.g. POS, NER tagging, Parsing
* Text normalization and error correction
* Paraphrase identification and semantic similarity of short text or noisy
text
* Extracting user demographics, profiles, and major life events
* Machine translation and Multilingual NLP over noisy text
* Information extraction from noisy text, global and regional trend
detection, and event extraction
* Colloquial language, e.g. idiom detection
* Domain adaptation to user-generated text
* Detecting rumors, contradictory information, sarcasm and humor on social
media
* Sentiment analysis
* Temporal aspects of user-generated content (resolving time expressions,
concept drift, etc...)
* Representing and mining language variation in user-generated content
* Processing of automatically generated data
* Robustness to Noise, both Natural and Adversarial
[IMPORTANT DATES]
* Submission Deadline: December 18, 2023 (anytime on earth; dual-submission
allowed)
* Acceptance Notification: January 20, 2024
* Camera-Ready Deadline: january 30, 2024
* Workshop Day: March 21/22, 2024
[INVITED SPEAKERS]
* Su Lin Blodgett
* Jennifer Foster
[ORGANIZERS]
* Tim Baldwin (University of Melbourne)
* Wei Xu (Georgia Institute of Technology)
* Alan Ritter (Georgia Institute of Technology)
* Rob van der Goot (IT University of Copenhagen)
* Max Müller-Eberstein (IT University of Copenhagen)
[SUBMISSION]
Submissions should conform to the ACL style guidelines. Long and short paper
submissions must be anonymized. Please submit your papers via OpenReview:
https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT
*** Ph.D. Award: First Call for Applications ***
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: 1st March, 2024 AoE ***)
The deadline to apply for the CAiSE 2024 PhD Award is March 1st 2024. The conditions to
apply are:
• having participated as an author in a previous CAiSE Doctoral Consortium or at a main
CAiSE Event: either the main conference, the CAiSE Forum, EMMSAD, or BPMDS;
• having successfully defended the PhD thesis in the last two years (i.e., since January 2022).
The application must be submitted electronically to the PhD Awards track of CAiSE 2024 via
EasyChair <https://easychair.org/conferences/?conf=caise2024> . The application must be
a single PDF file containing:
• a short cover letter that includes the list of PhD committee members,
• a support letter from the thesis advisor,
• the candidate's defended PhD thesis,
• the candidate’s CV.
About the PhD Award
The CAiSE PhD Award 2024 is granted annually to an outstanding recent PhD thesis in the
field of Information Systems Engineering.
The award is co-sponsored by the CAiSE Steering Committee and Springer. It consists of a
certificate, free full registration (5 days) to the next two editions of the CAiSE conference,
and a book voucher for a free selection worth EUR 500 from Springer’s printed books
collection. In addition, the selected thesis will be recommended for publication as a
monograph in the LNBIP series published by Springer, provided that Springer’s publication
conditions are met.
The PhD theses submitted for the award will be reviewed by a standing committee of senior
members selected from the CAiSE Advisory Committee, the CAiSE Steering Committee, and
the CAiSE Program Committee.
Award Chair
Professor Andreas L Opdahl, University of Bergen, Norway
Key Dates
• Submission of application: 1st March, 2024 (AoE)
• Notification: 15th April, 2024
Past Recipents
• 2023: Anna Bernasconi, PhD from Politecninco Milano (Italy), thesis title “Model, Integrate,
Search... Repeat: a Sound Approach to Building Integrated Repositories of Genomic Data” (link to the forthcoming monograph: https://link.springer.com/book/9783031449062)
• 2022: Volodymyr Leno, PhD from University of Melbourne (Australia), thesis title
“Robotic Process Mining: Accelerating the adoption of Robotic Process Automation” (link to the thesis: https://minerva-access.unimelb.edu.au/bitstream/handle/
11343/297274/98f9efca-4dd2-eb11-94dc-0050568d0279_manuscript.pdf)
• 2021: Orlenys Lopez Pintado, PhD from University of Tartu (Estonia), thesis title
“Collaborative Business Process Execution on the Block Chain: the Caterpillar System” (link to the thesis: https://dspace.ut.ee/items/1e09072c-5442-463a-b8c6-0425951cb90b)
• 2020: Steven Mertens, PhD from Ghent University (Belgium), thesis title “Enabling process
management for loosely framed knowledge-intensive processes” (link to the published monograph: https://www.springer.com/gp/book/9783030661922)
• 2019: Giovanni Meroni, PhD from Politecnico di Milano (Italy), thesis title “Artifact-driven
business process monitoring” (link to the published monograph: https://www.springer.com/gp/book/9783030324117)
• 2018: Wei Wang, PhD from University of Queensland (Australia) thesis title “Integrated
Modeling of Business Processes and Business Rules” (link to the published monograph: https://www.springer.com/gp/book/9783030118082)
• 2017: Marcela Ruiz, PhD from the Universidad Politécnica de Valencia (Spain), thesis title
“TraceME: A Traceability-Based Method for Conceptual Model Evolution” (link to the published monograph: https://www.springer.com/gp/book/9783319897158)
• 2016: Le Minh Sang Tran, PhD from University of Trento (Italy), thesis title “Managing the
Uncertainty of the Evolution of Requirements Models” (testimony of the 2016 CAiSE PhD Award winner: https://www.youtube.com/watch?v=q-vvlH66lC4)