- Corpora - ELRA lists

New book: Lenguaje claro y tecnología en la Administración (Plain language and technology in the Administration)
by spistola＠flog.uned.es 08 May '23

08 May '23

Recently, the book "Lenguaje claro y tecnología en la Administración" was published, edited by Iria da Cunha, with a prologue by Ricardo Mairal. The book includes chapters by different authors and is published in the Interlingua collection of Editorial Comares. More information can be found at the following link: https://www.comares.com/libro/lenguaje-claro-y-tecnologia-en-la-administrac… Description If you have this book in your hands or you are reading this synopsis, you are probably doing so for one of the following two reasons: either you are a specialist in the field of this publication (working in academia, business or Administration) or the title has caught your attention because, currently, it is difficult to find the terms "plain language", "technology" and "Administration" together. If you are a specialist in the field, you know the meaning of these terms. In this case, the content of the different chapters of this book will provide you with novel approaches and studies in which synergies are established between these three terms. If you have simply been surprised to see such different concepts in the title, in each chapter, you will find a detailed explanation with examples, before addressing the synergies between them. The chapters address topics such as computational linguistics and discourse, plain language in Spanish and English, textual corpora, textual genres in the field of Administration, phraseology, terminological variation, the assisted writing software “arText claro”, and comprehension and clarity perception assessment. Whatever your profile, we hope that we can provide you with relevant knowledge and that you enjoy the book. Subjects: Discourse Analysis, Digital Humanities, Computational Linguistics, Corpus Linguistics, Terminology Table of contents Prologue by Ricardo Mairal Introduction by Iria da Cunha Chapter 1. Lingüística computacional y discurso: Hacia la solución de problemas reales. Maite Taboada Chapter 2. Análisis contrastivo inglés-español de las recomendaciones sobre lenguaje claro en el ámbito jurídico-administrativo en los últimos 10 años dentro de la Unión Europea. M. Ángeles Escobar and Eva Samaniego Chapter 3. Hacia la clarificación de la fraseología del ámbito de la Administración: Un estudio basado en corpus. M. Amor Montané Chapter 4. Análisis de la estructura y contenidos de un corpus de géneros textuales del ámbito de la Administración. Sara Pistola Chapter 5. Lenguaje claro y variación terminológica en textos de la Administración. Susana Viñuales-Ferreiro and Sara Pistola Chapter 6. Palabras largas vs. palabras cortas: Una estrategia para el lenguaje claro basada en la variación sinonímica. Gerardo Sierra Chapter 7. El sistema arText claro: el primer redactor asistido para el español que ayuda a escribir textos en lenguaje claro. Iria da Cunha Chapter 8. Impacto del uso arText claro en la comprensión lectora y en la percepción de claridad de textos administrativos por parte de estudiantes universitarios. Juan Antonio Núñez and Iria da Cunha

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Call for Papers: Discover Artificial Intelligence (Springer Nature-New Launched Journal) – Large Language Models and AI-Generated Content
by Hongfei Xu 08 May '23

08 May '23

Apologies for cross-posting.   Call for Papers: Discover Artificial Intelligence (Springer Nature-New Launched Journal) – Large Language Models and AI-Generated Content   Description Recent years have witnessed rapid and remarkable progress made in large language models (LLMs), e.g., ChatGPT, GPT-4, BARD, Claude, etc. The emerging LLMs not only revolutionize the field of natural language processing, but also have a transformative impact on AI, science and society. On the one hand, LLMs are used as backbone models for generative AI, enabling AI-generated content (AIGC) in a variety of forms, e.g., text, image, video, audio. On the other hand, challenges coexist with opportunities in LLMs. Due to the blackbox nature of LLMs, the theoretical reasons of emergent abilities, chain-of-thought capability, instruction generalization, etc., are not yet clear. Value alignment of LLMs, which handles ethical concerns regarding different aspects of LLMs and makes them safe, is both a societal and technological desideratum.   Topics of interest This Topical Collection aims at soliciting articles on large language models/AI-generated content via either large language models or other technologies. Topics of interest include, but are not limited to: - Data processing and governance for large language models/AIGC - Deep analysis of capabilities of large language models - Interpretable large language models - Neural architectures for large language models/AIGC - Large multimodal models/AIGC - Training and inference algorithms for large language models/AIGC - Approaches to the alignment of large language models, e.g., RLHF - Ethics issues of large language models/AIGC - Various applications of LLMs in AIGC or for social good - Automatic/Human Evaluations of LLMs/AIGC   Keywords Large Language Models, AI-Generated Content, AI Alignment, Natural Language Processing, Ethics Issues of LLMs, LLM Evaluation, LLM Interpretability   Submission information To submit your manuscript for consideration at Discover Artificial Intelligence as part of this Collection, please follow the steps detailed on this page. On the first page of our online submission system, under “Select article type:” select the option of your article type. Then when filling out the manuscript information, select the “Large Language Models and AI-Generated Content” Collection from the collection list on the “Details” tab. Authors should express their interest in the Collection in their cover letter. All manuscripts submitted to a Collection are assessed according to the standard Discover Artificial Intelligence editorial criteria and peer review process and are subject to all standard journal policies. If accepted for publication, an article processing charge applies (with a standard waiver policy). Submissions will be welcomed at any point up until 31 December 2023, but if you are unable to submit a manuscript before this date, please feel free to let us know as we may be able to be flexible.   This article Collection is a great opportunity to highlight this important area of research, and we hope you will be able to contribute.

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Diponegoro Summer Course in Corpus Linguistics 2023
by PRIHANTORO PRIHANTORO 08 May '23

08 May '23

Apologies for cross-posting. ---- We are pleased to announce that registration for DipSCORLING (Diponegoro Summer Course in Corpus Linguistics) 2023 is now open ( https://bit.ly/dipscorling2023-reg). The summer course is hosted by Universitas Diponegoro, Semarang, Indonesia. DipSCORLING 2023 will be held online during the summer between 10-14 July 2023 by Diponegoro University. Attending the summer course provides an excellent chance to gain knowledge of corpus linguistics from renowned experts in the field and connect with other participants engaged in intriguing projects and topics. Diponegoro Summer Course in Corpus Linguistics attracts a diverse group of individuals from various countries, making it a truly international gathering. While the primary purpose of this event is to learn about corpus linguistics, it also serves as a platform for forging new academic partnerships and forming meaningful friendships. The summer course is free of charge and it assumes no prior knowledge of corpus linguistics. More information at https://english.fib.undip.ac.id/dipscorling2023/ KEYNOTE SPEAKERS - Dr. Robbie Love (Aston University, UK) - Dr. Andressa Gomide (Universidade de Coimbra, Portugal) - Prihantoro, Ph.D (Universitas Diponegoro, Indonesia) - Dr. Peter Crostwhaite (University of Quuensland, Australia) - Karlina Denistia, Ph.D (Universitas Sebelas Maret, Indonesia) MATERIALS: - Corpus and Corpus Query Systems - Corpus Query Techniques - Concordances - Frequency list - Collocation DIPONEGORO SPECIAL LECTURE - Corpora and Applied Linguistics REGISTRATION LINK - http://bit.ly/dipscorling2023-reg IMPORTANT DATES: - Registration: 1 May - 9 June - Notification of Accepted participants: 16 June - Summer Course : 10-14 June CONTACTS - Email: cl_summercourse(a)live.undip.ac.id - Phone/WhatsApp: Nadira (+6282288859011), Dash (+6281296911005), Tyas (+6282334688092) Best Regards, Prihantoro cl_summercourse(a)live.undip.ac.id #dipscorling2023

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CFP: AAAI-ICWSM's special issue in the Journal of Quantitative Description
by #KOKIL JAIDKA# 08 May '23

08 May '23

Hi there, I'm one of the Program Chairs of the AAAI International Conference on Web and Social Media (ICWSM-24). I'd like to invite the mailing list members to consider submitting a letter of inquiry to our first official journalistic dalliance with computational communication. As part of ICWSM-24, we will have a special issue in the Journal of Quantitative Description and are soliciting submissions under the following timeline: LOIs Due: May 15, 2023 Accepted LOIs invited to submit full papers: June 8, 2023 Full papers due: September 15, 2023 Reject or Revise & Resubmit decisions mailed to full paper authors: November 15, 2023 R&R Submission Deadline: January 15, 2024 Accept or Reject decisions for R&Rs: March 15, 2024 More details are at https://icwsm.org/2023/index.html/call_for_submissions.html LOIs and questions should be sent to the Special Section Editors at jqdicwsmsi(a)gmail.com, their info is at the bottom of this email. Thank you so much! Through this endeavor we look forward to seeing more of you at ICWSM-24 in Buffalo! :) Warmly Kokil on behalf of the Special Issue editors: Dr. Jason Jeffrey Jones, Associate Professor, Department of Sociology and Institute for Advanced Computation Science, Stony Brook University Dr. Sarah Shugars, Assistant Professor, Department of Communication, Rutgers University Dr. Yini Zhang, Assistant Professor, Department of Communication, University at Buffalo **Disclaimer** The sender of this email does not represent Nanyang Technological University and this email does not express the views or opinions of the University.

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Permanent academic position in NLP (Macquarie University, Australia)
by mark.dras＠mq.edu.au 07 May '23

07 May '23

Dear colleagues, Please pass on the job announcement below to anyone you think might be interested. Application deadline is May 31. It’s for a permanent academic position in NLP in the School of Computing at Macquarie University, Sydney, Australia. It’s at the level of lecturer; in the Australian system, this is part of the standard track to professor (it’s roughly equivalent to assistant professor in the North American system). For more details, please see the advertisement at https://mq.wd3.myworkdayjobs.com/CareersatMQ/job/Wallumattagal-Campus-North… Best regards, Mark

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PROPOR 2024 - Call for Shared Task/Workshop/Tutorial Proposals
by Alberto Simões 06 May '23

06 May '23

Call for Shared Task, Workshop and Tutorial Proposals PROPOR 2024 March 14th-15th Santiago de Compostela (Galiza) 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 due: August 1, 2023. - Notification of decision: August 15, 2023. - Shared task web pages available and linked to the main site: October 1, 2023. - 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: August 1, 2023. - Notification of decision: August 15, 2023. - Workshop web pages available and linked to the main site. Workshop CFP published: October 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.

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Call For Papers: The SIGIR '23 Workshop on Knowledge Discovery from Unstructured Data in Financial Services
by Xiaodan Zhu 06 May '23

06 May '23

The SIGIR '23 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF) Artificial intelligence (AI) and information retrieval (IR) systems and techniques have been widely adopted in financial services to tackle various tasks, such as information retrieval from business documents, retrieval from non-textual content like tables and graphs, recommending financial products and services to customers, providing decision support for investment practices, automating of due diligence protocols, detecting fraudulent transactions, financial sentiment analysis on social media, and understanding Environmental, Social and Governance (ESG) impact on investment practices. Knowledge from IR systems can help augment human intelligence. However, discovering and extracting the knowledge conveyed inside unstructured financial data, like SEC filings, prospectuses, business reports, and other enterprise documents are extremely challenging due to the massive volume of data, large variation in the data format, low signal-to-noise ratio, scarcity of expert annotated datasets, task ambiguity, hurdles regarding data integrity and privacy, robustness against domain shift, and high-performance requirements set by industry and regulatory standards. Manual extraction of knowledge is usually inefficient, error-prone, and inconsistent, so it is one of the key technical bottlenecks for financial services companies to accelerate their operating productivity. These challenges and issues call for robust artificial intelligence, information retrieval, and machine learning algorithms and systems to help. The automated processing of unstructured data to discover knowledge from complex financial documents requires bringing together a suite of techniques such as natural language processing, information retrieval, semantic analysis, and complex reasoning. In addition, how knowledge is captured and represented, synthesized across diverse sources, and used within AI systems, is crucial to developing effective solutions in financial services. Furthermore, based on the reflections and feedback from our past KDF workshops, the 2023 workshop is particularly interested in multi-modal understanding of financial documents, retrieving and reasoning over tabular data within financial documents, and financial domain-specific representation learning. The workshop will be composed of three components: invited talks, paper presentations, along with a shared task competition. We cordially welcome researchers, practitioners, and students from academic and industrial communities who are interested in the topics to participate and/or submit their original work. The workshop will be a hybrid event – supporting both in-person and virtual participation. Topics of Interest The topics of the workshop include, but are not limited to, the following areas: - AI and IR technologies for business document understanding for financial corpora, including searching and question answering systems, understanding and reasoning over non-textual content such as tables and graphs; - representation learning, and distributed representation learning and encoding in natural language processing for financial documents; - language modeling on financial corpora including tabular and numerical data, and multi-modal modeling; - multi-source knowledge integration and fusion, and knowledge alignment and integration from heterogeneous data; - reconciling unstructured knowledge with structured knowledge and human expertise; - named-entity disambiguation, recognition, resolution, relationship discovery, ontology learning and extraction in financial and business documents; - AI-assisted domain data tagging, labeling, and annotation for IR tasks; automatic data extraction from financial filings and quality verification; - corporate ESG event discovery, evaluation, and impact assessment; - event discovery from alternative data and impact on corporate equity pricing; - AI and IR systems for financial risk assessment on financial legal documents such as contracts and prospectuses; - verifying facts and statements generated by large pre-trained language models using IR and knowledge discovery; - IR or QA techniques and applications on financial documents leveraging large language models. Submission Guidelines We invite submissions of relevant work that be of interest to the workshop. All submissions must be original contributions that have not been previously published and that are not currently under review by other conferences or journals. Submissions will be peer reviewed, single-blinded. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. All submissions must be in PDF format and follow the current ACM two-column conference format https://www.acm.org/publications/proceedings-template. We accept two types of submissions: - full research paper: no longer than 9 pages (including references, proofs, and appendixes). - short/poster paper: no longer than 4 pages (including references, proofs, and appendixes). Submission will be accepted via Microsoft CMT https://cmt3.research.microsoft.com/KDF2023/. All accepted papers will be presented in the workshop. Submissions will be non-archival, and the authors may post their work on arXiv or other online repositories. Important Dates - Paper abstract due (optional): May 1, 2023 AoE - Paper submission deadline: May 21, 2023 AoE - Submission notification date: May 31, 2023 - Workshop: July 27, 2023 Organizing Committee - Sameena Shah - JPMorgan AI Research - Xiaodan Zhu - Queen's University - Wenhu Chen - University of Waterloo - Manling Li - University of Illinois Urbana-Champaign - Armineh Nourbakhsh - JPMorgan AI Research - Xiaomo Liu - JPMorgan AI Research - Zhiqiang Ma - JPMorgan AI Research - Charese Smiley - JPMorgan AI Research - Yulong Pei - JPMorgan AI Research - Akshat Gupta - JPMorgan AI Research Workshop Website http://kdf-workshop.github.io/kdf23 Contact For general inquiries about KDF, please write to the organizers at kdf.workshop(a)gmail.com. <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> Virus-free.www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_cam…> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>

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Call for Shared Task Participation: Event Causality Identification with Causal News Corpus at CASE @ RANLP 2023
by ali hürriyetoglu 06 May '23

06 May '23

Competition Website: https://codalab.lisn.upsaclay.fr/competitions/11784 Please contact the organizer at tan.f(a)u.nus.edu with your title starting with “CNC ST”, or post questions at the Forum page in Codalab. FIRST CALL FOR PARTICIPATION CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus ================================================ We invite you to participate in the CASE-2023 Shared Task: Event Causality Identification with Causal News Corpus. The task is being held as part of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. Workshop Website: https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> Motivation ================================================ Causality is a core cognitive concept and appears in many natural language processing (NLP) works that aim to tackle inference and understanding. We are interested to study event causality in news, and therefore, introduce the Causal News Corpus. The Causal News Corpus consists of 3,767 event sentences, extracted from protest event news, that have been annotated with sequence labels on whether it contains causal relations or not. Subsequently, causal sentences are also annotated with Cause, Effect and Signal spans. Our subtasks work on the Causal News Corpus, and we hope that accurate, automated solutions may be proposed for the detection and extraction of causal events in news. Task Overview ================================================ We focused on two subtasks relevant to Event Causality Identification: - Subtask 1: Causal Event Classification – Does an event sentence contain any cause-effect meaning? - Subtask 2: Cause-Effect-Signal Span Detection – Which consecutive spans correspond to cause, effect or signal per causal sentence? - Subtask 2.1: Cause-Effect Span Detection – This subtask identifies the spans corresponding to cause and effect per sentence. - Subtask 2.2: Signal Span Detection – This subtask identifies the spans corresponding to the signal, or causal connective, per cause and effect relation. Participants may design solutions that work on a single, multiple or all subtasks concurrently. Participants are also allowed to combine Subtask 1 and 2 annotations for either task. However, the target labels of development and test sets should not be introduced during training in their set up in any way (E.g. even for data augmentation). This is the second iteration of this shared task. The leaderboard from last year is available at https://codalab.lisn.upsaclay.fr/competitions/2299. There are changes for both Subtask 1 and 2 data: - Added more data. Also revised annotations from previous launch - Changed traditional P, R, F1 calculations to use FairEval calculations instead ( https://huggingface.co/spaces/hpi-dhc/FairEval/blob/main/README.md) Data Content ================================================ Our work extends a prior socio-political news corpus to annotate if event-containing sentences have causal relations or not. Our data sizes and splits are described as follows: - Subtask 1: Causal Event Classification -- 869 news documents and 3,767 English sentences were annotated with labels on whether it contains causal relations or not. The current data splits are: 3,075 training, 340 development, 352 test. - Subtask 2: Cause-Effect-Signal Span Detection – Positive causal sentences from Subtask 1 were retained and annotated with Cause-Effect-Signal spans. We annotated 1,982 sentences with 2,754 causal relations. There can be multiple relations per sentence. The data splits for causal relations are: 2,257 training, 249 development, 248 test. Task Repository: https://github.com/tanfiona/CausalNewsCorpus Codalab Site: https://codalab.lisn.upsaclay.fr/competitions/11784 Important Dates ================================================ Training & Validation data available: May 01, 2023 Test data available: Jun 15, 2023 Test start: Jun 15, 2023 Test end: Jun 30, 2023 System Description Paper submissions due: Jul 10, 2023 Notification to authors after review: Aug 05, 2023 Camera ready: Aug 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 Organization ================================================ - Fiona Anting Tan, Institute of Data Science/ National University of Singapore, Singapore - Ali Hürriyetoğlu, Koc University, Turkey - Tommaso Caselli, Rijksuniversiteit Groningen, Netherlands - Nelleke Oostdijk, Radboud University - Tadashi Nomoto, National Institute of Japanese Literature, Japan - Onur Uca, Mersin University - Iqra Ameer, Centro de Investigación en Computación/ Instituto Politécnico Nacional, Mexico - Hansi Hettiarachchi, Birmingham City University, United Kingdom - Farhana Ferdousi Liza, University of East Anglia, United Kingdom - Tiancheng Hu, ETH Zürich, Switzerland Please contact the organizer at tan.f(a)u.nus.edu with your title starting with “CNC ST”, or post questions at the Forum page in Codalab.

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First Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP @ EMNLP 2023
by Verna Dankers 05 May '23

05 May '23

*Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP* *Workshop description*The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing. It is crucial to ensure that models behave robustly, reliably and fairly when making predictions about data that is different from the data that they were trained on. Generalisation is also important when NLP models are considered from a cognitive perspective, as models of human language. Yet, there are still many open questions related to what it means for an NLP model to generalise well and how generalisation should be evaluated. The first GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. In particular, the workshop aims to: - Bring together different expert communities to discuss challenging questions relating to generalisation in NLP; - Crowd-source a collaborative generalisation benchmark hosted on a platform for democratic state-of-the-art (SOTA) generalisation testing in NLP The first GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2023. *Submission types*We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. *1. Regular workshop submissions*Regular workshop submissions present papers on the topic of generalisation (see examples listed below) but are not intended to be included on the GenBench evaluation platform. Regular workshop papers may be submitted as an archival paper when they report on completed, original and unpublished research; or as a shorter extended abstract. More details on this category can be found below. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that investigate how results from different generalisation studies compare to one another; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated without access to training data; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. *2. Collaborative Benchmarking Task submissions*Collaborative benchmarking task submissions consist of a data/task artefact and a paper describing and motivating the submission and showcasing it on a select number of models. We accept submissions that introduce new datasets, resplits of existing datasets along particular dimensions, or in-context learning tasks, with the goal of measuring generalisation of NLP models. We especially encourage submissions that focus on: - Generalisation in the context of fairness and inclusivity; - Multilingual generalisation; - Generalisation in LLMs, where we have no control over the training data. Each submission should contain information about the data (URIs, format, preprocessing), model preparation (finetuning loss, ICL prompt templates), and evaluation metrics. These will be defined either in a configuration file or in code. More details about the collaborative benchmark task submissions and example submissions can be found on our website: genbench.org/cbt. Participants proposing previously unpublished datasets or splits may choose to submit an archival paper or an extended abstract. Generalisation evaluation datasets that have already been published elsewhere (or will be published at EMNLP 2023) can be submitted to the platform, as well, but only through an extended abstract, citing the original publication. We allow dual submissions with EMNLP. For more information, see below. If you are in doubt about whether a particular type of dataset is suitable for submission, please consult the information page on our website, or reach out to the organisers of the workshop at genbench(a)googlegroups.com. *Archival vs extended abstract*Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2023 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website but will not be included in the proceedings. *Submission instructions*For both archival papers and extended abstracts, we refer to the EMNLP 2023 website for paper templates. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview; the link can be found on our website. We also accept regular workshop submissions (papers of category 1) through the ACL Rolling Review system. Authors that have their ARR reviews ready may submit their papers and reviews for consideration to the workshop. *Important dates*- August 1, 2023 – Sample data submission deadline - September 1, 2023 – Paper submission deadline - September 15, 2023 – ARR submission deadline - October 6, 2023 – Notification deadline - October 18, 2023 – Camera-ready deadline - December 6/7, 2023 – Workshop Note: all deadlines are 11:59 PM UTC-12:00 *Dual submissions*We allow dual submissions with EMNLP and encourage relevant papers that were dual-submitted and accepted at EMNLP to redirect to a non-archival extended abstract submission. We furthermore welcome submissions of extended abstracts that describe work already presented at an earlier venue, both in the collaborative benchmarking task and in the regular submission track. *Preprints*We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. *Contact* Email address: genbench(a)googlegroups.com Website: <goog_1407501456>genbench.org/workshop *On behalf of the GenBench team,*Dieuwke Hupkes Khuyagbaatar Batsuren Koustuv Sinha Amirhossein Kazemnejad Christos Christodoulopoulos Ryan Cotterell Elia Bruni Verna Dankers

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Call for papers, SIGDIAL 2023 Workshop Connecting Multiple Disciplines to AI Techniques in Interaction-centric Autism Research and Diagnosis (ICARD)
by Amanda Stent 05 May '23

05 May '23

Call for papers, SIGDIAL 2023 Workshop Connecting Multiple Disciplines to AI Techniques in Interaction-centric Autism Research and Diagnosis (ICARD) We welcome submissions on one or more of the following topics: Multimodal information processing of interactions involving people with symptoms of autism Datasets of autism behavior: child-child, child-parent, child-researcher and multi-party conversation Application of Social science and AI techniques in autism understanding and diagnosis Speech recognition for autism speech Conversational tools for language development in autism Dialogue modeling for autism diagnosis and intervention AI-mediated tools for improving cognitive and social development in autism Applications, demos, and resources for studying social interaction and dialogue in autism Submissions We welcome reports of original research in the form of two types: Long papers (8 pages + references) Short papers (4 pages + references) We also welcome submission of non-archival one page abstracts describing work in progress. We encourage all authors to include relevant discussions of ethical considerations and impact in the body of the paper. Non-archival Option Authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the proceedings. We expect these submissions to describe the same quality of work as archival submissions. These will be reviewed following the same procedure as archival submissions. Submission Format All long, short, and abstract submissions must follow the two-column ACL format , which are available as an Overleaf template and also downloadable directly (Latex and Word). Please refer to the SIGDIAL 2023 website for the most recent version of the templates. Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. All submissions should be anonymized to facilitate double blind reviewing. Submissions that do not adhere to the author guidelines or ACL policies will be rejected without review. Important Dates Submission deadline: June 15, 2023 Author notification: July 14, 2023 Camera-ready deadline: August 14, 2023 Workshop date: September 12, 2023 All deadlines are 11.59 pm AOE time.

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2025

2024

2023

2022