- Corpora - ELRA lists

2nd CFP: MEDDOPLACE Shared Task (Evaluation now open!)
by Salvador Lima 08 May '23

08 May '23

(Apologies for cross-posting) 2nd CFP: MEDDOPLACE Shared Task (locations, clinical departments and travel NER/linking + geocoding from health texts) - NEW: Evaluation now open on CodaLab until mid-June! Info: - Web: https://temu.bsc.es/meddoplace/ - Registration: https://temu.bsc.es/meddoplace/registration - Data: https://zenodo.org/record/7707567 - Guidelines: https://zenodo.org/record/7775235 - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/13017 MOTIVATION Location information represents one of the most relevant types of entities for high impact practical NLP solutions, resulting in a variety of applications adapted to different languages, content types and text genres. We organize the MEDDOPLACE shared task (Medical Documents PLAce-related Content Extraction, part of the IberLEF/SEPLN2023 initiative) devoted to the recognition, normalization and classification of location and location-related concept mentions for high impact healthcare data mining scenarios. For this task we released the MEDDOPLACE corpus of clinical case texts in Spanish annotated with location-relevant entity mentions, following annotation guidelines and entity linking procedures. Practical impact: - Diagnosis & prognosis: Location information is important for the diagnosis or prognosis of some diseases that are more endemic to certain regions or particular geographical environments. - Health risk factors: Geolocation information can be a risk factor in case of exposure to radiation, work-related or environmental contaminants affecting patients health. - Mobility: Due to the increasing mobility of populations, detection of patients' travels and movements can improve early detection and tracing of infectious disease outbreaks, and thus enable taking preventive measurements. The expected results and resources show a multilingual adaptation potential and impact beyond healthcare (e.g. adaptation to tourism/traveling-related content or legal texts). TASKS SUBTRACKS: 1. Location Entity Recognition: detect exact character offsets of all location & location-related mentions. 2. Geographic Entity Normalization (Geocoding/Entity Linking): for entity mentions, normalize them to their GeoNames (Toponym Resolution), PlusCodes (POIs Toponym Resolution) & SNOMED CT (Entity Linking) concept, depending on entity type. 3. Entity Subclassification: Classification of entity mentions into four subcategories of clinical relevance (patient’s origin place; residence’s location; place where the patient has traveled to/from; place where the patient has received medical attention) 4. End-to-End: Participant systems are evaluated in all three tasks above sequentially instead of being evaluated on their own. Publications & workshop Teams participating will be invited to contribute a systems description paper for the IberLEF (SEPLN 2023) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2023 workshop, see: https://temu.bsc.es/meddoplace/publications/. Tentative Schedule: - End of evaluation Phase 1: May 31st, 2023 - End of evaluation Phase 2: June 12th, 2023 - Working papers submission: June 14th, 2023 - Notification of acceptance (peer-reviews): June 26th, 2023 - Camera-ready system descriptions: July 5th, 2023 - IberLEF @ SEPLN 2023: September 27th-29th, 2023 Organizers: - Martin Krallinger, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Eulàlia Farré, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland -- Salvador Lima Lopez RESEARCH ENGINEER Life Sciences - NLP for Biomedical Information Analysis, BSC-CNS Barcelona, Spain

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Reminder: Job Opening at CRC 1102, Saarbrücken (Postdoc or PhD)
by Stefania Degaetano-Ortlieb 08 May '23

08 May '23

Job Title: Postdoctoral Researcher or PhD Candidate in Computational Linguistics/Digital Humanities/Corpus Linguistics Position Type: Full-time, fixed-term (2 years with the possibility of extension) Salary in accordance with the German TV-L salary scale, pay grade: E13 TV- L. Application Deadline: June 1, 2023 Start Date: earliest possible opportunity, subject to negotiation Location: Saarland University is a campus university with an international reputation for research excellence, particularly in computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to France and its strong European focus. Around 17,000 students, studying over one hundred different academic disciplines, are currently enrolled at Saarland University. Saarland University is officially recognized as one of Germanys family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one of the largest employers in the region. Workplace/Department: The position is affiliated with project B1 of the DFG-funded Collaborative Research Center (CRC) 1102. The successful applicant will have the opportunity to collaborate closely with other researchers at the CRC and at Saarland University. CRC 1102 is a thriving research environment with over 30 PhD students and postdocs from many subfields of linguistics, computational linguistics and psycholinguistics. It is located at Saarland University, one of the leading centers for computational linguistics in Europe. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. It is part of Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus. See https://sfb1102.uni-saarland.de/ for more information on the CRC. Project B1: Information Density in English Scientific Writing: A Diachronic Perspective PIs: Elke Teich ( <mailto:e.teich@mx.uni-saarland.de> e.teich(a)mx.uni-saarland.de), Stefania Degaetano-Ortlieb ( <mailto:s.degaetano@mx.uni-saarland.de> s.degaetano(a)mx.uni-saarland.de) We are seeking a highly motivated Postdoctoral Researcher or PhD candidate with a strong background in computational linguistics or digital humanities and a keen interest in diachronic language studies. The position is situated in Project B1 on the Diachronic Development of Scientific English using information-theoretic approaches and considering rational communication accounts. Project B1 is concerned with the hypothesis of communicative optimization in the development of scientific English. Based on a diachronic corpus (Royal Society Corpus), we have applied selected types of computational language models (e.g. topic models, n-gram models, word embeddings) and combined them with information-based measures (e.g. entropy, surprisal) to capture diachronic variation. In the upcoming project phase, we intend to address the following research questions: (1) Is there evidence of a more general diachronic mechanism (beyond scientific language)? (2) Within scientific language, what are additional, typical imprints of conventionalization (register variables)? (3) How can we assess the overall communicative efficiency of scientific language (effects on working memory)? Focusing on selected linguistic phenomena (multi-word expressions, discourse markers, nominal vs. verbal phrases), we complement a corpus-based, production-oriented approach with selected behavioral, comprehension-oriented studies. Job requirements and responsibilities: * Conduct research on the diachronic development of scientific English using computational methods and information-theoretic approaches * Analyze linguistic data and develop models to understand the underlying principles of rational communication in scientific discourse * Collaborate with a multidisciplinary team of researchers in linguistics, computational linguistics, psycholinguistics, and related fields * Present research findings at conferences and publish in high-impact, peer-reviewed journals Your academic qualifications: * A completed MA/MSc in computational linguistics, digital humanities, or a closely related field (for Phd candidates) * A completed (or soon to be completed) PhD in computational linguistics, digital humanities, or a closely related field (for Postdoc candidates) The successful candidate will also be expected to: * Strong programming skills and experience with computational text analysis, natural language processing, or machine learning techniques * Familiarity with variationist/diachronic language studies * A solid understanding of information-theoretic approaches would be a plus * Familiarity with experimental linguistics would be a plus * Excellent written and verbal communication skills * A good command of English is mandatory * Ability to work independently and collaboratively in a multidisciplinary research environment What we can offer you: A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking Secure and future-oriented employment with attractive conditions A broad range of further education and professional development programs (for example language courses) An occupational health management model with numerous attractive options, such as our university sports program Supplementary pension scheme (RZVK) Discounted tickets on local public transport services (Job-Ticket Plus of the saarVV) To apply, please submit the following documents: 1. Cover letter detailing your research interests, qualifications, and motivation for applying 2. Curriculum vitae, including a list of publications 3. Names of two scholars who can be addressed for a letter of reference Please submit your application materials via email to e.teich(a)mx.uni-saarland.de <mailto:e.teich@mx.uni-saarland.de> and s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> by June 1, 2023. For further information about the position or the research center visit our website at https://sfb1102.uni-saarland.de/ . We look forward to receiving your application and exploring the possibility of you joining our dynamic research team.

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PhD on generation of Norwegian news texts at U. of Bergen
by Koenraad de Smedt 08 May '23

08 May '23

The University of Bergen invites applications for a PhD position at MediaFutures: Research Centre for Responsible Media Technology & Innovation. The position will be on Norwegian Language Technology, in particular the generation and adaptation (including summarization) of Norwegian news texts. The methodology could include generative neural encoder-decoder architectures using large Norwegian language models. https://www.jobbnorge.no/en/available-jobs/job/244992/phd-research-fellowsh…

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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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2024

2023

2022