April 2024 - Corpora

Call for papers 4th Workshop on Scholarly Document Processing - SDP@ACL 2024
by Tirthankar Ghosal 02 Apr '24

02 Apr '24

** Call for Research Papers ** Scholarly literature is the chief means by which scientists and academics document and communicate their results and is therefore critical to the advancement of knowledge and improvement of human well-being. At the same time, this literature poses challenges to NLP uncommon in other genres, such as specialized language and high background knowledge requirements, long documents and strong structural conventions, multimodal presentation, citation relationships among documents, an emphasis on rational argumentation, and the frequent availability of detailed metadata. These challenges necessitate the development of NLP methods and resources optimized for this domain. The Scholarly Document Processing (SDP) workshop provides a venue for discussing these challenges, bringing together stakeholders from different communities including computational linguistics, machine learning, text mining, information retrieval, digital libraries, scientometrics and others, to develop methods, tasks, and resources in support of these goals. This workshop builds on the success of prior workshops: the 1st, 2nd, and 3rd SDP workshops held at EMNLP 2020, NAACL 2021, and COLING 2022, and the 1st and 2nd SciNLP workshops held at AKBC 2020 and 2021. In addition to having broad appeal within the NLP community, we hope the SDP workshop will attract researchers from other relevant fields including meta-science, scientometrics, data mining, information retrieval, and digital libraries, bringing together these disparate communities within ACL. Website: https://sdproc.org/2024/ X (Twitter): https://twitter.com/sdpworkshop Topics of Interest We invite submissions from all communities demonstrating usage of and challenges associated with natural language processing, information retrieval, and data mining of scholarly and scientific documents. Relevant topics include (but are not limited to): - Large Language Models (LLMs) for Science - Representation learning and language modeling - Information extraction and NER - Document understanding - Summarization and generation - Question-answering - Discourse modeling/argumentation mining - Network analysis - Bibliometrics, scientometrics, and altmetrics - Reproducibility and research integrity, including new challenges posed by generative AI - Peer review tools, principles and technology - Metadata and indexing - Inclusion of datasets and computational resources - Research infrastructures and digital libraries - Increasing the representation in scholarly work of disadvantaged populations - LLM-based interfaces to consume/produce scholarly documents ** Submission Information ** Authors are invited to submit full and short papers with unpublished, original work. Submissions will be subject to a double-blind peer-review process. Accepted papers will be presented by the authors at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings (proceedings from previous years can be found here: https://aclanthology.org/venues/sdp/). The submissions must be in PDF format and anonymized for review. All submissions must be written in English and follow the ACL 2024 formatting requirements: Long paper submissions: up to 8 pages of content, plus unlimited references. Short paper submissions: up to 4 pages of content, plus unlimited references. Submission Website: Paper submission has to be done through openreview: < https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SDProc> Final versions of accepted papers will be allowed 1 additional page of content so that reviewer comments can be taken into account. ** Important Dates (Main Research Track) ** Paper submission deadline: May 17 (Friday), 2024 Notification of acceptance: June 17 (Monday), 2024 Camera-ready paper due: July 1 (Monday), 2024 Workshop dates: August 16, 2024 ** SDP 2024 Keynote Speakers ** We are excited to have several keynote speakers at SDP 2024. 1. Iryna Gurevych, Professor at Technical University Darmstadt and head of the UKP Lab, Germany. 2. Anna Rogers, Assistant Professor, University of Copenhagen, Denmark 3. Heng Ji, Professor, University of Illinois at Urbana-Champaign, USA. 4. Doug Downey, Associate Professor at Northwestern University and Research Manager at Allen Institute for AI, USA. ** SDP 2024 Shared Tasks ** SDP 2024 will host two exciting shared tasks. More information about all shared tasks is provided on the workshop website: https://sdproc.org/2024/sharedtasks.html DAGPap24: Detecting automatically generated scientific papers A big problem with the ubiquity of Generative AI is that it has now become very easy to generate fake scientific papers. This can erode public trust in science and attack the foundations of science: are we standing on the shoulders of robots? The Detecting Automatically Generated Papers (DAGPAP) competition aims to encourage the development of robust, reliable AI-generated scientific text detection systems, utilizing a diverse dataset and varied machine learning models in a number of scientific domains. Organizers: Savvas Chamezopoulos, Yury Kashnitsky, Drahomira Herrmannova, Anita de Waard (Elsevier), Domenic Rosati (Scite) Context24: Contextualizing Scientific Figures and Tables When making sense of results across many research papers on a topic, figures or tables of key results from the papers can serve as effective, information-dense summaries that can be compared/contrasted and synthesized with other results. However, to understand the results, key elements (e.g., measures, sample) need to be contextualized with associated methodological details, which are typically dispersed throughout the text, often far from the figure/table and from each other. In this shared task, we are interested in contextualizing scientific figures and tables, i.e., automatically retrieving and ranking snippets from the paper that are most needed to interpret their results, with the goal of making figures/tables more self-contained. Organizers: Joel Chan, Matthew Akamatsu ** Organizing Committee ** Tirthankar Ghosal, Oak Ridge National Laboratory, USA Philipp Mayr, GESIS – Leibniz Institute for the Social Sciences, Germany Aakanksha Naik, Allen Institute for AI, USA Shannon Shen, Massachusetts Institute of Technology, USA Amanpreet Singh, Allen Institute for AI, USA Anita de Waard, Elsevier, Netherlands Orion Weller, Johns Hopkins University, USA Yanxia Qin, National University of Singapore, Singapore Yoonjoo Lee, Korea Advanced Institute of Science & Technology, South Korea -- +++++++++++++++++++++++++++++++++++ *Tirthankar Ghosal* Scientist National Center for Computational Sciences (NCCS) Oak Ridge National Laboratory, United States ++++++++++++++++++++++++++++++++++++

1 1

CfP: FEL2024, The XXVIIIth Annual Conference of the Foundation for Endangered Languages, 25-27 September 2024, Islamabad
by Steven Krauwer 02 Apr '24

02 Apr '24

CALL FOR PAPERS =============== The Foundation for Endangered Languages (FEL) and the Forum for Language Initiatives (FLI), in collaboration with Allama Iqbal Open University Islamabad will hold the 28th Annual Conference - FEL XXVIII in Islamabad, Pakistan, 25 – 27 September 2024 Main theme of the conference: Endangered Languages and Oral Traditions. Conference topics include, but are not limited to: 1. Endangered oral literatures: heritage preservation (music, poetry, mushaira, contests...) 2. Oral cultures and traditional knowledge 3. Documentation and digitalization of oral art and literature 4. Language policy, planning, and oral art 5. Oral art and mother tongue education 6. Mother-tongue education policies: oral art and literature 7. Rediscovering oral traditions and expressions 8. Oral Traditions as vehicle for transmission of culture and language The main focus of the conference will be on the dynamic relationship between language endangerment and the role of oral traditions and expressions in safeguarding them. While it has a universal scope, it specifically aims to highlight interesting and creative oral traditions and expressions of the indigenous communities of Pakistan and encourage scholarship and accounts of community initiatives for preserving and promoting them. Studies highlighting the oral traditions of indigenous communities from anywhere are welcome. Abstracts in PDF of 600 - 800 words are invited for submission on EasyChair at this address: https://easychair.org/conferences/?conf=felxxviii2024 by the deadline of 15 May 2024 at 23:59 GMT Important Dates ▪ 15 May 2024: Deadline for submission of abstract ▪ 21 June 2024: Selected applicants informed ▪ 31 July 2024: Deadline for extended version of accepted abstract ▪ 25-27 September 2024: Conference dates ▪ 28 September: Excursion to a local community Conference website: https://fli-online.org/site/conference-of-the-foundation-for-endangered-lan… For more information please contact: felconf2024.islamabad(a)gmail.com -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

1 0

Summer School - Corpus Methods in Linguistics
by Dylan Glynn 02 Apr '24

02 Apr '24

University Paris 8 <https://www.univ-paris8.fr/>, with the support of the European Reform University Alliance <https://erua-eui.eu/>, is pleased to announce their upcoming Summer School: *Corpus Methods in Linguistics--compilation, annotation and quantitative analysis* 03-07 June 2024 https://summer-corpus-p8.sciencesconf.org/ This will be a 30h week-long course consisting of: --morning sessions devoted to data collection, extraction and organization, as well as DIY corpus building --afternoon sessions focusing on statistical analysis of the data produced during the morning sessions --several half-day sessions on automatic annotation and manual annotation methods Participants will learn how to: --formulate advanced search queries in a concordancer in *TextSTAT* --compile a text corpus with *BootCaT* --automatically annotate a text corpus in *TreeTagger* --manually annotate a text corpus in *UAM CorpusTool* --measure keyword specificity and collocation strength using *AntConc* --perform exploratory statistical analysis for complex data using correspondence analysis, factor analysis, and cluster analysis in *R* --perform confirmatory statistical analysis using log-linear analysis and regression modelling in *R* This programme is intended primarily for researchers and upper-level students (Masters or Doctorate). Tuition will be 90€ (free for students from universities participating in the ERUA <https://erua-eui.eu/> scheme, including Paris 8). Normally, we receive more requests than we can accept, so if you wish to participate, please fill in this form <https://forms.gle/r4VxwuH1MdUerNub9> - https://forms.gle/E6QxWzwCzwqkADoJ9 If you have any questions, please feel free to contact us. Dylan Glynn and Daniel Henkel dsg.up8(a)gmail.com / daniel.henkel(a)univ-paris8.fr

1 0

The Tensor Tournament T3 – Registration Open
by Jelena Mitrovic 02 Apr '24

02 Apr '24

Registration for the first Bavaria-wide Tensor Tournament is open. *The Tensor Tournament T**3* is a one-day AI student competition with free food, a live leaderboard, and all members of the three winning teams win programmable drones. Hype up your team and register today 👉 https://the-tensor-tournament.de ! 📅 *Date:* Saturday, May 4th, 2024 🕙 *Time:* 10:00 AM - 4:00 PM 📍 *Locations:* FAU, Uni Bamberg, Uni Regensburg, HS Ansbach, TH Nürnberg, Uni Passau, TUM, LMU *Highlights* 🔥 *3 Challenges*: Test your Machine Learning skills with three unique challenges of increasing difficulty designed to push your boundaries and spark your creativity. But beware, the clock is ticking! You have only 6 hours to complete the challenges. 👥 *3 Teammates*: Form a dream team of up to three students and tackle the challenges together. Each team will get a single PC and access to powerful GPU resources. Then, compete against the other teams for the top ranks on our Bavarian-wide leaderboard. 🏆 *3 Winners*: The top three teams will be rewarded with amazing prices: Programmable Ryze Tech Tello drones, some with the Booster Combo for extra endurance. *Conditions* 🍕 *Free food*: Enjoy free food and drinks throughout the event to keep your energy levels high and your ideas flowing. 🚀 *We welcome all STEM students*: Whether you're a seasoned ML pro or just starting your journey, all bachelor and master students interested in machine learning are welcome. Basic programming knowledge in Python is recommended, but the tournament is designed to be inclusive and engaging for everyone. Of course, you need to be enrolled in one of the participating universities. 👉 *First come, first serve*: GPUs are limited, so register now to secure your spot: https://the-tensor-tournament.de -- Prof. Dr. Jelena Mitrović Universität Passau / ITZ / Raum 161/Innstr. 43 94032 Passau +49 851 509 3353 https://ca-roll.github.io/ <http://www.uni-passau.de>

1 0

CAiSE'24: Last Mile for Research Projects Exhibition
by Announce 02 Apr '24

02 Apr '24

*** Last Mile for Research Projects Exhibition *** 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: 15th April, 2024 AoE (extended) ***) CAiSE 2024 features a Research Project Exhibition (RPE@CAiSE'24) where researchers and practitioners can present their ongoing research projects (e.g., Horizon or ERC projects, national grants) in the context of Information Systems Engineering. The main objective of this call is to serve as a forum where presenters can disseminate the intermediate results of their projects or get feedback about research project proposals being developed. The exhibition will also provide a warm environment to find potential research partners, foster existing relationships, and discuss research ideas. To participate in the RPE@CAiSE'24, the authors should submit a short paper (5-8 pages) showcasing the project, including the participants, the main objectives of the project and relevant results obtained so far (or expected results in the case of project proposals). Each submission will be peer-reviewed on the relevance of the submitted paper in the context of CAiSE 2024. If the paper is accepted, the authors will be invited to register for the conference to present their work at the Research Projects Exhibition session at CAiSE 2024. The accepted contributions will be proposed for publication by CEUR proceedings using the 1-column CEUR-ART style. In addition, the authors of the most influential project presented at the RPE@CAiSE'24 will receive an award distinguishing their contribution as the "Most Influential Project of the Research Project Exhibition @CAiSE'24". RESEARCH PROJECTS REQUIREMENTS For the Research Projects Exhibition, we solicit submissions of projects related to the topics of CAiSE that meet the following criteria: • Projects funded by the European Union, by national or local funding organisations, or even by individual universities and industries. • Projects focused on fundamental research, applied research or more industry-oriented. • Research projects carried out by an international consortium of partners or by a national research team. • Research statements for future projects concerning the Information Systems Engineering community. SUBMISSION GUIDELINES Papers should be submitted via Easychair (https://www.easychair.org/conferences/?conf=caise2024) by selecting the "Research Projects Exhibition". Each submission of a research project should include: • The project's full name, acronym, duration (from-to), participants, funding agency and URL. • Names of presenter(s) and main contributors. • Abstract and keywords. • Summary of project objectives and expected tangible outputs. • The relevance of the project (or one of its work packages) to the topics of the International Conference on Advanced Information Systems Engineering. • If the project is ongoing: summary of current status and intermediate results. All submissions should be 5 to 8 pages long and be formatted as a 1-column CEUR-ART style (templates available at https://ceur-ws.org/Vol-XXX/). An intention to submit should be performed one week before the deadline, including the full name of the project, the authors' name and the abstract. Each submission will be reviewed by at least two members of the Program Committee. In case of disagreement, a third member of the Program Committee will review the submission. The Program Committee will comprise international researchers with expertise in the field. ATTENDANCE AND PRESENTATION During the Research Projects Exhibition session, the authors of accepted contributions will present the research project. Details about the format of the session and instructions to prepare the presentation will be given to authors after the acceptance notification. At least one author of each submission accepted for the Research Projects Exhibition must register and attend the conference to present the work. The author needs a full registration to present the research project. IMPORTANT DATES • Intention to Submit (Abstract Submission): 8th April, 2024 (AoE) (extended) • Submission: 15th April, 2024 (AoE) (extended) • Notification of Acceptance: 29th April, 2024 • Camera Ready: 13th May, 2024 • Author Registration: 13th May, 2024 • Conference Dates: 3rd-7th June, 2024 RESEARCH PROJECTS EXHIBITION CHAIRS • Raimundas Matulevicius, University of Tartu, Estonia • Henderik A. Proper, TU Wien, Austria

1 0

Call for Papers: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference
by mathilde.regnault＠ling.uni-stuttgart.de 02 Apr '24

02 Apr '24

Apologies for cross-posting. Call for Papers: Analysis of Linguistic VAriation for BEtter Tools (ALVABET) within the LLcD 2024 Conference (https://llcd2024.sciencesconf.org/) Workshop Variation plays a particularly important role in linguistic change, since every change stem from a state of variation; but each state of variation does not necessarily end up with a change: the new variant can disappear, or variation can linger but in different contexts. Access to sufficient amounts of data and their quantification, in order to detect the emergence of new variants as precisely as possible, and the recession or even disappearance of others, is a precious tool for the study of variations, whatever their dimensions (diachronic, diatopic, …) and in whatever field (syntax, morphology, …). The appearance of large corpora has thus renewed the study of variation. NLP has contributed largely to this renewal, providing tools for the enrichment and the exploration of these corpora. In return, linguistic analysis can help explain some of these errors and thus deepen the picture where performance metrics tend to flatten out everything under a single number, or even help improve the performances. NLP annotation tools, such as syntactic parsers and morphological taggers, reach great performances nowadays when they are applied on similar data to those seen during their development. However, they quickly drop as the target data diverges from those of the training scenario. This raises a number of issues when it comes to using automatically annotated data to perform linguistic studies. This workshop aims at exploring bilateral contributions between Natural Language Processing and variation analysis in the fields of morphosyntax and syntax, from diachronic and diatopic perspectives but also from genre, domain or form of writing, without any restriction on the languages of interest. We warmly welcome submissions dealing with the issues and contributions of applying NLP to variation analysis : • Quantification of variation along its different dimensions (both external and internal ones as well as in interaction with each other); • Impact of annotation errors on the study of marginal structures (emergent or recessing); • Syntactic variation when it is induced by semantic changes. But also submissions dealing with the contributions of variation analysis to NLP: • Variation mitigation (spelling standardisation...); • Domain adaptation (domain referring here to any variation dimension); • Error analysis (in and out of domain) in light of known variation phenomena, amongst which (de-)grammaticalisation; • The evolution of grammatical categories and its impact on prediction models; • The place of variation studies in NLP in the large language model era. These themes are only suggestions and the workshop will gladly host any submission that deals substantially with the reciprocal contributions between NLP and variation analysis in the mentioned fields. Full workshop description: https://llcd2024.sciencesconf.org/data/pages/WS12Eng.pdf Important Dates • Apr 20, 2024: deadline for abstract submission (Workshops and General session) • May 15, 2024: Notification • Sep 9-11: Conference Submissions Abstracts must clearly state the research questions, approach, method, data and (expected) results. They must be anonymous: not only must they not contain the presenters' names, affiliations or addresses, but they must avoid any other information that might reveal their author(s). They should not exceed 500 words (including examples, but excluding bibliographical references). Abstracts will be assessed by two members of the Scientific Committee and (one of) the workshop organizers.

1 0

[CIIAM] Postdoc on Contextual Information Inference for Argument Mining
by Anaïs Ollagnier 02 Apr '24

02 Apr '24

** *Bonjour,* * (english announcement follows) Dans le cadre du projet CIIAM (Contextual Information Inference for Argument Mining) financé par l’Académie d’Excellence Réseaux, Information et Société Numérique, visant à renforcer la robustesse des techniques de fouille d'arguments par la synthétisation d’informations contextuelles relevant des aspects multimodaux de la communication. Nous invitons les doctorant(e)s en fin de thèse et les jeunes docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la fouille d’argument par la synthétisation d’information contextuelle" (12 mois). -------- Contexte -------- Parvenir à appréhender les structures argumentatives dans les entrées en langage naturel constitue une étape clé pour de nombreuses tâches relevant du domaine du Traitement Automatique des Langues (TAL), telles que le résumé automatique ou l'analyse de débats politiques. Bien que des progrès significatifs aient été réalisés grâce à l'avènement des modèles de langue pré-entraînés, ils ne saisissent pas toujours l'ensemble des connaissances linguistiques nécessaires pour une compréhension contextuelle fine et l'établissement d'inférences pertinentes. Face à ces limitations, notre projet vise à explorer l'inclusion de la dimension d'analyse linguistique liée à la pragmatique. Cette approche se veut particulièrement novatrice, car la pragmatique, en raison de sa complexité à être formalisée, est très peu étudiée d'un point de vue computationnel. C’est à travers l'utilisation des dernières techniques de pointe en matière de "prompting" que nous souhaitons pallier les écueils des méthodes existantes, tels que la variabilité culturelle et l’implicite. --------------- Pour candidater --------------- Sujet détaillé : https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Début du contrat : Octobre 2024, au plus tard Durée du contrat : 12 mois Les candidatures comprenant un CV scientifique, une lettre de motivation et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Date limite : 14 Juin 2024 Laboratoire d'accueil : I3S, Sophia-Antipolis, France Au plaisir de vous lire. ------------------------------------------------------------------------------------------------ In the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication. We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months). -------- Context -------- Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge. --------------- To Apply --------------- Detailed subject: https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Contract start: October 2024, at the latest Contract duration: 12 months Applications including a scientific CV, a motivation letter, and recommendation letters should be sent to Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Deadline: June 14, 2024 Hosting laboratory: I3S, Sophia-Antipolis, France * -- Anaïs OLLAGNIER Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 414, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

1 0

Registration Now Open for NLDB 2024 - Join Us in Turin!
by Federico Torrielli 02 Apr '24

02 Apr '24

Dear Colleagues and Researchers, We are delighted to announce that registration for the 29th International Conference on Natural Language & Information Systems (NLDB 2024) is now officially open! The conference will be held from 25-27 June 2024 at the University of Turin, Italy. *Register for NLDB 2024*: Click Here to Register <https://nldb2024.di.unito.it/registration/> NLDB 2024 brings together a vibrant community of researchers and industry practitioners focusing on advances in Natural Language Processing (NLP) and its applications in information systems. As the field of NLP continues to evolve rapidly, this conference offers a prime opportunity to stay ahead of the curve, presenting your work, sharing insights, and forging new connections. *Conference Highlights:* * Engage with cutting-edge research and industrial applications of NLP. * Network and connect with leading academics and industry experts. * Experience a mix of oral and poster presentations, and interactive sessions. * Enjoy the beautiful city of Turin and its rich cultural heritage. *Registration Policy Summary:* * *Paper Presentation*: All accepted papers must be presented, ideally in person. * *Attendance*: In-person attendance is recommended, but remote options are available. * *Author Registration*: At least one author per paper must register at the in-person rate by the specified deadline to ensure inclusion in the proceedings. * *Fees*: Early registration offers reduced fees, and special rates are available for students to encourage young researchers' participation. For detailed information on fees, the registration process, and more, please visit the NLDB 2024 Registration Page <https://nldb2024.di.unito.it/registration/>. Should you have any questions or need further assistance, please do not hesitate to contact us at federico.torrielli(a)unito.it. We look forward to welcoming you to Turin for an exciting and enriching conference experience. Warm regards, The NLDB 2024 Organizing Committee *General Chairs*: * Luigi Di Caro, University of Turin * Farid Meziane, University of Derby * Amon Rapp, University of Turin * Vijayan Sugumaran, Oakland University

1 0

Call for Papers: Special Issue of Register Studies
by mg2957＠nau.edu 01 Apr '24

01 Apr '24

Title of Special Issue: Situational Context in Register Studies Call for papers Situation of language use has been at the forefront of register studies. Register research in text-linguistics has documented systematic situational variation and its relationship to functional language use across culturally recognized register categories, among texts within register categories, and across hybrid registers (e.g., Biber, 1988; Biber & Egbert, 2018; Biber, Egbert, Keller, 2020). Situations of language use have also been explored by a variety of other research traditions (and referred to as ‘register,’ ‘communicative situation,’ ‘speech situation,’ ‘social situation, ’or ‘situational context’). For example, the contribution of the situation of language use to explaining linguistic variation is examined alongside linguistic variables in variationist linguistics (e.g., Szmrecsanyi , 2019). In computational research, it has served as the basis for text classification (e.g., Argamon, 2019). The effect of situations of use on individual language use is being recognized in stylistics and stylometry (e.g., Marko, Reitbauer & Pickl, 2022). Additionally, some situational variables, such as the audience and their relative status to the addressor, have been central to sociolinguistic research (e.g., Rickford & McNair-Knox, 1994) and discourse analysis (e.g., Lorson et al., 2023). To synthesize the variety of perspectives, approaches, and conceptualizations, Register Studies invites proposals that elevate the role of situational context in linguistic research. We welcome a wide range of empirical, methodological, or theoretical papers under this scope. Papers for this special issue should highlight situational context and its integration into register studies. Potential topics include, but are not limited to: Applications of situational analysis to corpus design and evaluation Analysis of situational variation across and within registers Detailed analyses of communicative events and their communicative strategies (e.g., conflict, celebration, social gathering, etc.) Descriptions of frameworks for situational analysis Approaches to coding for situational characteristics Generality and specificity of situational parameters Situation in applied research (e.g., pedagogy, medical discourse, legal discourse, etc.) The psycholinguistic reality of situational distinctions Interaction of the situation of language use with other predictor variables (e.g., social status, gender) New, unaccounted for (configurations of) situational parameters and/or novel/nonstandard situations of language use Cross-cultural situational differences and/or situations unique to particular linguistic communities Situation of language use and discourse-pragmatic variation Situation of technology-mediated interactions Important Dates Deadline for proposals: April 15, 2024 Invitations to submit a manuscript: May 1, 2024 Initial manuscripts due: October 1, 2024 Notification of review outcome: December 1, 2024 Final manuscripts due: February 28, 2025 Special issue publication: 7:2 - Fall 2025 Proposal Format & Submission Submit a one-page abstract for your proposed article to Associate Editors Larissa Goulart and Marianna Gracheva at Register.Studies(a)gmail.com. Please include your full contact information and a draft title. For empirical studies, the abstract should introduce the topic and motivate the study, summarize the methodological approach, describe the data to be analyzed, and summarize preliminary results. Abstracts for theoretical and methodological articles should introduce and motivate the issue to be addressed, and explain the main premises that will be included in the article. Please follow the style guide for Register Studies (available at the journal website: https://benjamins.com/catalog/rs). Peer Review All manuscripts will undergo double-blind peer review following the journal’s standard process. References: Biber, D. 1988. Variation across speech and writing. Cambridge University Press. Biber, D., & Egbert, J. (2018). Register variation online. Cambridge University Press. Biber, D., Egbert, J., & Keller, D. (2020). Reconceptualizing register in a continuous situational space. Corpus Linguistics and Linguistic Theory, 16(3), 581–616. Argamon, S. (2019). Computational register analysis and synthesis. Computation and Language. https://doi.org/10.48550/arXiv.1901.02543 Lorson, A., Rhode, H., & Cummins, C. (2023). Epistemicity and communicative strategies. Discourse Processes, 60(8), 556–593. Marko, K., Reitbauer, M., & Pickl, G. (2022). Same person, different platform. Challenges and implications for forensic authorship analysis. An exploratory study of Instagram and Twitter users. Register Studies, 4(2), 202–231. Rickford, J. R. & McNair-Knox, F. (1994). Addressee- and topic-influenced style shift: a quantitative sociolinguistic study. In D. Biber & E. Finegan (Eds.), Sociolinguistic perspectives on register (pp. 235–276). Oxford University Press. Szmrecsanyi, B. (2019). Register in variationist linguistics. Register Studies, 1(1), 76–99.

1 0

Promoting 2024 TREC NeuCLIR Track -- #CLIR, #RAG, #Summarization
by Paul McNamee 01 Apr '24

01 Apr '24

A multingual retrieval shared task is running again this year at TREC 2024. The NeuCLIR (i.e., neural CLIR) track contains news document collections in Chinese, Farsi, and Russian, and support subtasks in: * cross-lingual search: search document collections from various languages * multlingual search: produce a unified ranked list of relevant documents across the three collections * report generation: produce an multi-paragraph English-language summary based on relevant information found in the source documents * technical document CLIR: searching in a collection of Chinese technical abstracts Information about the track, including task guidelines is available: https://neuclir.github.io/2024 To participate in the track advance registration for TREC 2024 is required: https://trec.nist.gov/pubs/call2024.html Best, - Paul McNamee

1 0