February 2024 - Corpora

36th International Conference on Advanced Information Systems Engineering: Last Call for Workshop Papers
by Announce 05 Feb '24

05 Feb '24

*** Last Call for Workshop 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: 26th February, 2024 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'24, the 36th edition of the CAiSE series, will host the following workshops. For more information for each workshop please visit the workshops' web sites. CAiSE'24 WORKSHOPS • 3rd International Workshop on Agile Methods for Information Systems Engineering (Agil-ISE) https://agilise.github.io/2024/index.html • International Workshop on Blockchain for Information Systems (BC4IS24) and Blockchain for Trusted Data Sharing (B4TDS) https://pros.unicam.it/bc4isb4tds/ • 2nd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS) https://hybridaims.com/ • 2nd Workshop on Knowledge Graphs for Semantics-driven Systems Engineering https://www.omilab.org/activities/events/caise2024_kg4sdse/ • 16th International Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2024) https://eomas2024.fel.cvut.cz/ • Digital Transformation with Business Process Mining (DigPro2024) https://digpro.iiita.ac.in/ IMPORTANT DATES • Paper Submission Deadline: 26th February, 2024 (AoE) • Notification of Acceptance: 27th March, 2024 • Camera-ready Deadline: 5th April, 2024 • Author Registration Deadline: 5th April, 2024 WORKSHOP CHAIRS • João Paulo A. Almeida, Federal University of Espírito Santo, Brazil • Claudio di Ciccio, Sapienza University of Rome, Italy • Christos Kalloniatis, University of the Aegean, Greece

1 0

CFP: DETESTS-Dis at IberLEF 2024
by Simona Frenda 05 Feb '24

05 Feb '24

Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** -------------------------------------------------------------------------------------------------------------------- Call for Participation -------------------------------------------------------------------------------------------------------------------- DETESTS-Dis IberLEF 2024 Task: DETESTS-Dis (DETEction and classification of racial Stereotypes in Spanish – Learning with Disagreement) This task will take part of IberLEF 2024 <https://sites.google.com/view/iberlef-2024/home?authuser=0>, the 6th Workshop on Iberian Languages Evaluation Forum at the SEPLN 2024 Conference, which will be held in Valladolid, Spain, on September 24th. ------------------------------------------------------------------------------------------------------------------- Here, we introduce the second edition of the DETESTS task (Ariza-Casabona, 2022 <http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6442>), which was first presented at IberLEF 2022. The aim of the new edition, DETESTS-Dis, is to detect and classify explicit and implicit stereotypes in texts from social media and comments on news articles, incorporating learning with disagreement techniques. Next, a description of both subtasks is provided: - Subtask 1, Stereotype Identification: This is a binary classification task the aim of which is to determine whether a comment or sentence contains at least one stereotype or none, considering the full distribution of labels provided by the annotators. This subtask follows the SemEval 2021 Task 12 (Uma et al., 2021 <https://aclanthology.org/2021.semeval-1.41/>) proposal about learning with disagreement, in which the authors state that there does not necessarily exist a single gold label for every sample in the dataset. This fact is particularly evident when multiple contradictory annotations arise at the data labeling stage due to “debatable, subjective, or linguistic ambiguity”. The actual gold label of this subtask is left as a proxy to determine the subset of comments that will be evaluated in the posterior subtask. - Subtask 2 (Optional), Implicitness Identification: This subtask introduces a novel binary classification problem to determine whether the stereotype is manifested or latent within the text, that is, whether the stereotype is implicit or explicit. The added difficulty in this case is that implicit stereotypes are not directly expressed in the text, and a process of inference must be applied by the annotators. Moreover, there are different strategies in which an implicit stereotype can be coded, such as metaphors, irony and other figures of speech, evaluations of the in-group, and the overgeneralization of a social group from features of some of its members. This subtask will be presented as a hierarchical binary classification problem. Although we recommend participating in both subtasks, participants are allowed to participate just in one of them (e.g., subtask 1). Teams will be allowed (and encouraged) to submit multiple runs (max. 5). To avoid any conflict with the sources of the comments regarding their intellectual property rights (IPR), the data will be sent privately to each participant who is interested in the task. The corpus will only be made available for research purposes. Important dates (All deadlines are 11:59 PM UTC-12:00): Training dataset release: March 04, 2024 Test dataset release: April 15, 2024 Systems results: April 29, 2024 Results notification: May 13, 2024 Working papers submission: June 3, 2024 Working papers (peer-)reviewed: June 17, 2024 Camera-ready versions: July 4, 2024 Workshop: September 24, 2024 Task organizers: - Mariona Taulé (Universitat de Barcelona, UB) - Wolfgang Schmeisser (Universitat de Barcelona, UB) - Alejandro Ariza (Universitat de Barcelona, UB) - Pol Pastells (Universitat de Barcelona, UB) - Mireia Farrús (Universitat de Barcelona, UB) - Simona Frenda (Università degli Studi di Torino, UniTo) - Paolo Rosso (Universitat Politècnica de València, UPV) Contact: Contact the organizers by writing to: detests.iberlef(a)gmail.com Web page: https://detests-dis.github.io/ We invite participants to join our Google Groups <https://groups.google.com/u/1/g/detests-dis> to be kept up to date with the latest news related to the task.

1 0

Multiple Open Rank Faculty Positions in Speech/NLP
by Thamar Solorio 05 Feb '24

05 Feb '24

Our NLP department is expected to grow to 20 full-time faculty, and we are now seeking applications for new faculty appointments. We invite candidates at all levels to apply. Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is the world’s first AI university. It is a graduate-level research-oriented university with 200 Master’s students and 85 PhD students (from over 40 nationalities; 31% female), and over 60 world-leading faculty members. It is ranked 17th in the world for AI, and is one of only 8 universities in the world to be ranked in the top-30 for all of CV, ML, and NLP ( csrankings.org). The university started with three departments (machine learning, computer vision, and natural language processing), and has recently launched two new departments (robotics and computer science). The NLP department undertakes rigorous, high-impact, and original research. Topics of interest include, but are not limited to, speech processing, spoken language understanding and dialog, large language models and their responsible applications, cognitive computational linguistics, multilingual and multimodal models, countering misinformation and fake news, and the synergies between NLP and AI in general, for example, embodied cognition. Applicants must have a PhD in Speech/Natural Language Processing or in a closely related area prior to the start of the appointment, and should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring graduate students. MBZUAI offers an attractive remuneration package and generous start-up funds to stimulate cutting edge research and support faculty with building strong research programs. Interested applicants must submit their materials (cover letter, Curriculum Vitae, research statement, teaching statement, and contact information for three references) via this link: http://apply.interfolio.com/137880 We strongly encourage early application for appointment during 2024. Applications will be accepted and reviewed on a rolling basis. For more information about MBZUAI, see https://mbzuai.ac.ae/

1 0

Regarding Reviewing the paper for upcoming Confernece AICTC 2024
by Dr. Rituraj Soni 05 Feb '24

05 Feb '24

Dear Sir/Mam Greetings of the day. We invite you to review the https://www.aictc.in/ Springer 5th International Conference on Advances in Information Communication Technology & Computing from 29th to 30th April - 2024. If you are interested please fill the form. We will provide you with a certificate for the same. The review will be on the CMT platform https://forms.gle/2QtdZCWCQ3uzEU346 Anticipating your positive response for contributing in academia. ------------------- Best Regards Dr.Rituraj Soni Assistant Professor, Senior Member IEEE Department of Computer Science & Engineering, Room No. F-50, C Wing, Engineering College Bikaner Karni Industrial Area, Pugal Road, Bikaner, Rajasthan 9414059125, https://scholar.google.com/citations?user=TZfsmQ0AAAAJ&hl=en https://sites.google.com/view/riturajson <https://sites.google.com/view/riturajsoni/home?authuser=0>i

1 0

Shared task on explainable semantic change detection (AXOLOTL) at the LChange'24 workshop
by Andrey Kutuzov 05 Feb '24

05 Feb '24

Dear all, The 5th International Workshop on Computational Approaches to Historical Language Change (https://www.changeiskey.org/event/2024-acl-lchange/, collocated with ACL'24) is hosting a shared task on _explainable semantic change modeling_: AXOLOTL-24. AXOLOTL-24 stands for "Ascertain and eXplain Overhauls of the Lexicon Over Time at LChange'24" and you are welcome to participate! https://github.com/ltgoslo/axolotl24_shared_task will serve as the main information hub for the shared task. Example of the datasets, processing and evaluation scripts, etc will appear in this Github repository in due time according to the timeline below. If you are interested in AXOLOTL-24, please also join our Google Group: https://groups.google.com/g/axolotl-24/ ======== Timeline ======== - February 1 2024 - training data published - March 25 2024 - test data published - April 9 2024 - deadline for submission of the systems’ predictions - April 10 2024 - AXOLOTL'24 test results published - May 10 2024 - paper submission deadline (same procedure as with other LChange'24 papers) ============ Introduction ============ This shared task builds on the existing tradition of competitions in diachronic semantic change detection, like (Schlechtweg et al 2020) and many others. However, this time we focus on explaining diachronic semantic changes, even if on a very basic level (for now). In particular, we challenge the participants to implement a semantic change modeling system which, given two historical corpora and a sense inventory corresponding to one of the periods, is able to: 1. Find the target word usages associated with new, gained senses 2. Describe these senses in a way that facilitates understanding and lexicographical research. Thus, the task is to identify which exact senses were gained between two time periods and generate reasonable descriptions (definitions) of these senses. To be able to use high-quality gold data, we use a simplified setup where instead of asking the participants to retrieve and analyze all target word usages in raw corpora, we provide two manually checked sets of usage examples (still of considerable size). Below, we still call them "corpora", for clarity. The shared task will feature data from Finnish and Russian languages, but you do not have to speak these languages to participate. There will also be a surprise language of lesser size at the test stage. For all these languages, we will use gold, manually annotated data to evaluate the predictions of the participant systems. The shared task will consist of two subtasks. The participants are welcome to choose one of them or both, at their will. =============================== Subtask 1. Bridging diachronic word uses and a synchronic dictionary =============================== The participants are offered two corpora, belonging to different time periods. In addition to this, they are provided with a set of dictionary entries (sense inventories) for the target words describing their senses in the first time period (accompanied by definitions). The task is to find all usages of the target words belonging to newly gained senses, i.e., senses not covered by the provided sense inventory. The assumption is that sense definitions from the dictionary, even though not always covering all word senses even from the same time period, may still be a useful additional source of information. The goal is to map word usages to the dictionary senses. This is very similar to Word Sense Disambiguation, with the difference being that the usages corresponding to word senses absent from the dictionary should be grouped into novel sense clusters (this is more similar to Word Sense Induction). In a way, this subtask is a mixture of WSD and WSI. - Inputs: a set of target words, two sets of usages for each target word (a usage is a text fragment containing a target word); target word dictionary entries with sense ids for the first of two time periods. - Predictions: sense id for every word usage of the second time period (either re-using an id from the provided dictionary or adding a novel one). - Metrics: Adjusted Rand Index (ARI) for all usages and macro-F1 for usages with existing senses - Ground truth: manually annotated sense inventories ============================== Subtask 2. Definition generation for novel word senses ============================== This subtask challenges the participants to submit good descriptions/definitions for the novel senses they found in subtask 1. The definitions can be generated from scratch or retrieved from existing ontologies: this is completely up to the participants. The organizers will map the predicted definitions to the gold standard ones and evaluate their quality with the standard NLG metrics. - Inputs: Same as subtask 1 - Predictions: Same as subtask 1 plus a dictionary-like definition for every novel sense of the target word (a sense not present in the dictionary entry from the first time period) - Metrics: BLEU/ROUGE and BERTScore. The final score is averaged across target words - Ground truth: definitions from our gold standard sense inventories ========== Organizers ========== - Mariia Fedorova (University of Oslo) - Andrey Kutuzov (University of Oslo) - Timothee Mickus (University of Helsinki) - Niko Partanen (University of Helsinki) - Janine Siewert (University of Helsinki) ========== References ========== 1. Diachronic word embeddings and semantic shifts: a survey (Kutuzov et al., COLING 2018) 2. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection (Schlechtweg et al., SemEval 2020) 3. Computational approaches to semantic change (Tahmasebi et al., LangSci Press 2021) 4. Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings (Mickus et al., SemEval 2022) 5. Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis (Giulianelli et al., ACL 2023) -- Andrey Language Technology Group (LTG) University of Oslo

1 1

[ECAI-2024] Deadline for Tutorial Proposals approaching
by luis.magdalena＠gmail.com 03 Feb '24

03 Feb '24

The 27th European Conference on Artificial Intelligence will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. We invite proposals for tutorials to be held during the first two days of the conference, alongside workshops and the doctoral consortium. We recently received 48 workshop proposals, so expect a very lively pre-conference programme. The deadline is fast approaching: Thursday, 15 February 2024. Full details here: https://www.ecai2024.eu/calls/tutorials Check the website for further opportunities to participate: submitting a paper to either the main conference or PAIS, submitting a demo paper, or taking part in the doctoral consortium. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

1 0

Final Call for NTCIR-18 Task Proposals - Deadline Approaching!
by CHUNG-CHI CHEN 03 Feb '24

03 Feb '24

Dear colleagues, As we edge closer to the deadline, this is the last call for proposals for the NTCIR-18 conference. If you have not yet submitted your task proposal, now is the time to take action. NTCIR (NII Testbeds and Community for Information Access Research) continues its tradition of fostering cutting-edge research in information access, focusing on East Asian languages and English. Following the success of the previous seventeen conferences, we are excited to see what novel and impactful tasks you propose for NTCIR-18. We invite proposals that address significant research questions, utilize authentic data, and aim at practical applications with real-world impact. Your task should also consider the intricacies of evaluating information access technology, including the need for extensive assessments, privacy concerns with proprietary data, and the feasibility of live testing. Please note that the submission deadline is fast approaching: Task Proposal Submission Deadline: Feb 9, 2024 (Anywhere on Earth) Do not miss this final chance to be part of NTCIR-18. Should you have any questions or require further information, please do not hesitate to contact us. Best regards, NTCIR-18 Program Committee Co-Chairs Qingyao Ai, Chung-Chi Chen, and Shoko Wakamiya NTCIR-18: NTCIR-18 Task Proposal Tokyo, Japan, June 10-13, 2025 Conference website https://research.nii.ac.jp/ntcir/index-en.html Submission link https://easychair.org/conferences/?conf=ntcir18proposal NTCIR (NII Testbeds and Community for Information Access Research) is a series of evaluation conferences that mainly focus on information access with East Asian languages and English. The first NTCIR conference (NTCIR-1) took place in August/September 1999, and the latest NTCIR-17 conference was held in December 2023. Research teams from all over the world participate in one or more NTCIR tasks to advance the state of the art and to learn from one another's experiences. Now it is time to call for task proposals for the next NTCIR (NTCIR-18) which will start in March 2024 and conclude in June 2025. Task proposals will be reviewed by the NTCIR Program Committee, following the schedule below. Submission Guidelines We invite new task proposals within the expansive field of information access. Organizing an evaluation task entails pinpointing significant research challenges, strategically addressing them through collaboration with fellow researchers (including co-organizers and participants), developing the requisite evaluation framework to propel advancements in the state of the art, and generating a meaningful impact on both the research community and future developments. Prospective applicants are urged to underscore the real-world applicability of their proposed tasks by utilizing authentic data, focusing on practical tasks, and solving tangible problems. Additionally, they should confront challenges in evaluating information access technology, such as the extensive number of assessments needed for evaluation, ensuring privacy while using proprietary data, and conducting live tests with actual users. In the era of large language models (LLMs), these models are anticipated to significantly influence daily human activities. Nonetheless, the content produced by LLMs often exhibits issues, such as hallucinations. NTCIR-18 specifically encourages tasks that focus on evaluating the quality of content generated by LLMs. *Submission System: https://easychair.org/conferences/?conf=ntcir18proposal <https://jpn01.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair…>* Important Dates *Feb 9, 2024 Task Proposal Submission Due (Anywhere on Earth)* Mar 8, 2024 Acceptance Notification of Task Proposals NTCIR-18 TENTATIVE SCHEDULE - March 2024: Kickoff Event - May 2024: Dataset release* - Jun-Dec 2024: Dry run* - Sep 2024-Feb 2025: Formal run* - Feb 1, 2025: Evaluation results return - Feb 1, 2025: Task overview release (draft) - Mar 1, 2025: Submission due of participant papers (draft) - May 1, 2025: Camera-ready participant paper due - Jun 10-13 2025: NTCIR-18 Conference (* indicates that the schedule can be different for different tasks) Proposal Type We will accept two types of task proposals: - Proposal of a Core task: This is for fostering research on a particular information access problem by providing researchers with a common ground for evaluation. New test collections and evaluation methods may be developed through the collaboration between task organizers (proposers) and task participants. At NTCIR-17, the core tasks are Lifelog-5, QA Lab-PoliInfo-4, MedNLP-SC, SS-2, and FinArg-1 (Details can be found at *http://research.nii.ac.jp/ntcir/NTCIR-17/tasks.html* <http://research.nii.ac.jp/ntcir/ntcir-17/tasks.html>). - Proposal of a Pilot task: This is recommended for organizers who propose to focus on a novel information access problem and there are uncertainties either in task designing or organization. It may focus on a sub-problem of an information access problem and may attract a smaller group of participating teams than core tasks. However, it may grow into a core challenging task in the next round of NTCIR. At NTCIR-17, the pilot tasks are FairWeb-1, Transfer, UFO, and ULTRE-2 (Details can be found at *http://research.nii.ac.jp/ntcir/NTCIR-17/tasks.html* <http://research.nii.ac.jp/ntcir/ntcir-17/tasks.html>). Organizers are expected to run their tasks mainly with their own funding and to make the task as self-sustaining as possible. A part of the fund can be supported by NTCIR, which is called "seed funding". It is usually used for some limited purposes such as hiring relevance assessors. The amount of seed funding allocated to each task varies depending on requirements and the total number of accepted tasks. Typical cases would be around 1M JPY for a core task and around 0.5M JPY for a pilot task (note that the amount is subject to change). Proposal Format The proposal should not exceed six pages in A4 single-column format. The first five pages should contain the main part and appendix, and the last page should contain only a description of the data to be used in the task. Please describe the data in as much detail as possible so that we can help your data release process after the proposal is accepted. In the past NTCIRs, it took much time to create memorandums for data release, which sometimes slowed down the task organization. Main part - Task name and short name - Task type (core or pilot) - Abstract - Motivation - Methodology - Expected results Appendix - Names and contact information of the organizers - Prospective participants - Data to be used and/or constructed - Budget planning - Schedule - Other notes Data (to be used in your task) - Details (Please describe the details of the data, which should include the source of the data, methods to collect the data, range of the data, etc.) - License (Please make sure that you have a license to distribute the data, and details of the license should be provided. If you do not have permission to release the data yet, please describe your plan to get the permission.) - Distribution (Please describe how you plan to distribute the data to participants. There are mainly three choices: distributed by the data provider, distributed by organizers, and distributed by NII.) - Legal / Ethical issues (If the data can cause legal or ethical problems, please describe how you propose to address them. e.g. some medical data may need approval from an ethical committee. e.g. some Web data may need filtering for excluding discriminative messages.) If you want NII to distribute your data to task participants on behalf of you, please send an email to *ntc-admin(a)nii.ac.jp* <ntc-admin(a)nii.ac.jp> prior to your task proposal submission attaching the task proposal. Committees*NTCIR-18 Program Co-Chairs* - Qingyao Ai (Tsinghua University, China) - Chung-Chi Chen (National Institute of Advanced Industrial Science and Technology (AIST), Japan) - Shoko Wakamiya (Nara Institute of Science and Technology (NAIST), Japan) *NTCIR-18 General Chairs* - Charles Clarke (University of Waterloo, Canada) - Noriko Kando (National Institute of Informatics, Japan) - Makoto P. Kato (University of Tsukuba, Japan) - Yiqun Liu (Tsinghua University, China) Contact All questions about submissions should be emailed to ntc18-pcc(a)nii.ac.jp

1 0

1st CFP: 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA2024)
by Ekaterina Kochmar 03 Feb '24

03 Feb '24

The 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) Location: Mexico City (co-located with NAACL 2024) Date: Thursday, June 20 or Friday, June 21, 2024 (TBD) Website: https://sig-edu.org/bea/current *Submission Deadline: Sunday, March 10, 2024, 11:59pm UTC-12* WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications (SIGEDU) <https://www.aclweb.org/adminwiki/index.php?title=2019Q3_Reports:_SIGEDU> in 2017, which currently has over 370 members. The 19th BEA workshop will have a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY), an invited paper presentation by a member of one of the educational societies from the International Alliance to Advance Learning in the Digital Era ( IAALDE <https://alliancelss.com/>), oral presentation sessions, and a large poster session to maximize the amount of original work presented. This year, the workshop is also hosting two shared tasks: on Automated Prediction of Item Difficulty and Item Response Time <https://sig-edu.org/sharedtask/2024> and on Multilingual Lexical Simplification <https://sites.google.com/view/mlsp-sharedtask-2024>. We expect that the workshop will continue to highlight novel technologies and opportunities for educational NLP in English as well as other languages. The workshop will solicit long, short and demo papers for either oral or poster presentation. We will solicit papers that incorporate NLP methods, including, but not limited to: - use of LLMs and generative AI in educational contexts - automated scoring of open-ended textual and spoken responses; - automated scoring/evaluation for written student responses (across multiple genres); - game-based instruction and assessment; - educational data mining; - intelligent tutoring; - collaborative learning environments; - peer review; - grammatical error detection and correction; - learner cognition; - spoken dialog; - multimodal applications; - annotation standards and schemas; - tools and applications for classroom teachers, learners and/or test developers; and - use of corpora in educational tools. INVITED TALKS The workshop will feature a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY) and an invited talk by a speaker from one of the IAALDE <https://alliancelss.com/> societies. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). - Submission Deadline: Sunday, March 10, 2024 - Notification of Acceptance: Sunday, April 14, 2024 - Camera-ready Papers Due: Wednesday, April 24, 2024 - Workshop: Thursday, June 20 or Friday, June 21, 2024 (TBD) SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. We generally follow ACL submission guidelines <https://aclrollingreview.org/cfp> and will require that all submitted papers should include a dedicated "Limitations" section, which does not count toward the page limit. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. We will be using the START conference system to manage submissions: *https://softconf.com/naacl2024/BEA2024* <https://softconf.com/naacl2024/BEA2024/> DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy <https://aclrollingreview.org/cfp>. Specifically: Papers being submitted both to BEA and another conference or workshop must: ● Note on the title page the other conference or workshop to which they are being submitted. ● State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE - Ekaterina Kochmar <https://ekochmar.github.io/about/>, MBZUAI - *Marie Bexte <https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>* , FernUniversität in Hagen - Jill Burstein <https://sites.google.com/site/jbursteinets/>, Duolingo - Andrea Horbach <https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…> , FernUniversität in Hagen - Ronja Laarmann-Quante <https://www.ltl.uni-due.de/team/ronja-laarmann-quante>, Ruhr University Bochum - Anaïs Tack <https://anaistack.github.io/>, KU Leuven - Victoria Yaneva <http://www.victoriayaneva.info/>, National Board of Medical Examiners - Zheng Yuan <https://www.cl.cam.ac.uk/~zy249/>, King’s College London Workshop contact email address: bea.nlp.workshop(a)gmail.com PROGRAM COMMITTEE David Alfter; Tazin Afrin; Erfan Al-Hossami; Giora Alexandron; Desislava Aleksandrova; Bashar Alhafni; Alejandro Andrade; Nischal Ashok Kumar; Berk Atil; Shiva Baghel; Rabin Banjade; Michael Gringo Angelo Bayona; Lee Becker; Lisa Beinborn; Luca Benedetto; Marie Bexte; Serge Bibauw; Ted Briscoe; Jie Cao; Dumitru-Clementin Cercel; Mei-Hua Chen; Hyundong Cho; Mark Core; Orphee De Clercq; Kordula De Kuthy; Jasper Degraeuwe; Yo Ehara; Carrie Demmans Epp; Yang Deng; Chris Develder; Ann Devitt; Barbara Di Eugenio; Elisa Di Nuovo; Yuning Ding; Rahul Divekar; A. Seza Dogruoz; George Dueñas; Mariano Felice; Nigel Fernandez; Michael Flor; Jennifer Frey; Diana Galvan-Sosa; Ashwinkumar Ganesan; Rujun Gao; Sebastian Gombert; Cyril Goutte; Abigail Gurin Schleifer; Samar Haider; Handoko Handoko; Ching Nam Hang; Jiangang Hao; Nicolas Hernandez; Heiko Holz; Chieh-Yang Huang; Chung- Chi Huang; Yi-Ting Huang; Joseph Marvin Imperial; Radu Tudor Ionescu; Qinjin Jia; Helen Jin; Richard Johansson; Masahiro Kaneko; Elma Kerz; Fazel Keshtkar; Alfiya Khabibullina; Mamoru Komachi; Roland Kuhn; Alexander Kwako; Kristopher Kyle; Antonio Laverghetta Jr.; Arun Balajiee Lekshmi Narayanan; Bruce W. Lee; Seolhwa Lee; Xu Li; John Licato; Yudong Liu; Zhexiong Liu; Anastassia Loukina; Jakub Macina; Nitin Madnani; Arianna Masciolini; Sandeep Mathias; Detmar Meurers; Amit Kumar Mishra; Masato Mita; Farah Nadeem; Ryo Nagata; Sungjin Nam; Diane Napolitano; Arun Balajiee Lekshmi Narayanan; Tanya Nazaretsky; Kamel Nebhi; Seyed Parsa Neshaei; Hwee Tou Ng; Gebregziabihier Nigusie; Christina Niklaus; S Jaya Nirmala; Huy Nguyen; Eda Okur; Kostiantyn Omelianchuk; Amin Omidvar; Ulrike Pado; Chanjun Park; E. Margaret Perkoff; Jakob Prange; Long Qin; Mengyang Qiu; Martí Quixal; Manav Rathod; Hanumant Redkar; Robert Reynolds; Frankie Robertson; Alla Rozovskaya; Nicy Scaria; Alexander Scarlatos; Gyu-Ho Shin; Mayank Soni; Katherine Stasaski; Helmer Strik; Hakyung Sung; Hanna Suominen; Abhijit Suresh; Jan Švec; Chee Wei Tan; Zhongwei Teng; Rushil Thareja; Xiaoyi Tian; Sowmya Vajjala; Piper Vasicek; Giulia Venturi; Anthony Verardi; Carl Vogel; Elena Volodina; Taro Watanabe; Michael White; Alistair Willis; Simon Woodhead; Marcos Zampieri; Fabian Zehner; Torsten Zesch; Jing Zhang; Yiyun Zhou; Jessica Zipf; Bowei Zou

1 0

Assistant Professor
by dushyantchauhan27＠gmail.com 02 Feb '24

02 Feb '24

Hello, please suggest to me all the jobs regarding Assistant Professor. Thank you.

3 2

PhD fellowship in Natural Language Processing at University of Oslo
by Yves Scherrer 02 Feb '24

02 Feb '24

The Language Technology Group at the Department of Informatics, University of Oslo, invites applications for a 3-year PhD research fellowship in Natural Language Processing. The PhD project will focus on variety-aware machine translation in a broad sense. While there have been impressive improvements in the field of machine translation in recent years, most systems define their source and target languages at a relatively coarse level (e.g. “English”, “Norwegian”) and do not take into account different types of variation that exist within these language denominations: national varieties (e.g. American vs. British English), writing forms (e.g. Bokmål vs. Nynorsk), dialects, historical varieties, learner language, simple/plain language, as well as different genres and styles. Applicants have considerable freedom to define their research project within the area of variety-aware machine translation. Depending on the chosen variation type, different setups can be explored (variation on the source side, variation on the target side, or translation between two varieties of the same language). The research project should not only produce variety-aware machine translation models, but also contribute to the evaluation of such models. The application should contain a research proposal that specifies the research direction that the applicant wishes to take. The LTG ( https://www.mn.uio.no/ifi/english/research/groups/ltg/ ) is an international and diverse group with a heavily machine-learning oriented research profile combined with an interest for linguistic analysis and knowledge. The LTG currently participates in the EU-funded HPLT project ( https://hplt-project.org/ ), one of whose goals is to provide large datasets for training language and translation models. The LTG is also an active member of Integreat ( https://www.integreat.no/ ), the Norwegian center of excellence for knowledge-driven machine learning. The group has access to excellent high-performance computing infrastructure. The application deadline is 29 February 2024. Further details about the position and application requirements can be found here: https://www.jobbnorge.no/en/available-jobs/job/257218/phd-research-fellow-i… For further information about the position and the application process, please contact Associate Professor Yves Scherrer: yves.scherrer(a)ifi.uio.no <mailto:yves.scherrer@ifi.uio.no>

1 0