November 2022 - Corpora

Erinnerung: Förderung einer Open-Access-Publikation „Einführung in die Computerlinguistik“ (Deadline 15.12.2022)
by josef Ruppenhofer 14 Nov '22

14 Nov '22

(Apologies if you end up receiving this multiple times. The text below appears only in German as it concerns a call for a German language book proposal.) Aufforderung zur Konzepteinreichung Zum Hintergrund Das letzte Jahrzehnt hat weltweit zahlreiche neue Aktivitäten und Entwicklungen auf dem Feld der Computerlinguistik erbracht. Nicht nur haben sich neue Ansätze und Methoden durchgesetzt; die Computerlinguistik als solche hat sich auch disziplinär stark ausdifferenziert. Dessen ungeachtet ist festzustellen, dass für Forschung und Lehre kein aktuelles deutschsprachiges Lehrbuch zur Verfügung steht, das ein umfassendes Bild des aktuellen Standes der Computerlinguistik zu zeichnen vermag. Die GSCL möchte deshalb dazu beitragen, diese Lücke zu füllen und hat beschlossen, Mittel zur Veröffentlichung eines umfassenden einführenden Lehrbuches oder einander ergänzender Lehrbücher zur Verfügung stellen. Was wird gefördert? Die Einführung soll sich vorrangig an den wissenschaftlichen Nachwuchs, insbesondere an Studierende in einem Bachelor-Studiengang, richten. Diese allgemeine Einführung in den Forschungsgegenstand sollte zudem die Trends der letzten Jahre thematisieren. Der Fokus der Publikation oder der Publikationen könnte beispielsweise auf anwendungsorientierte Fragestellungen der Informatik gelegt werden. Alternativ könnten auch Schwerpunktsetzungen in den Bereichen Linguistik oder Digital Humanities erfolgen. Die GSCL wird die finanziellen Mittel bereitstellen, die zur Deckung der Publikationskosten eines oder mehrerer sich ergänzender deutschsprachiger Open- Access-Bände zur Einführung in die Computerlinguistik in einem renommierten Verlag benötigt werden. Sofern die Autorinnen und Autoren bzw. Herausgeberinnen und Herausgeber die Publikation bei einem kostenfreien Non-Profit-Verlag bevorzugen, unterstützt die GSCL auch solche Vorhaben, kann die dadurch freiwerdenden finanziellen Mittel allerdings nicht umwidmen. Momentan steht die GSCL mit renommierten Verlagen in Kontakt, die Autorinnen und Autoren nicht nur ein breitgefächertes Distributionsnetz, sondern auch deutliche Mehrwerte für die Sichtbarkeit und Reichweite ihrer Forschung bieten. Die Einführung soll so konzipiert werden, dass sie sowohl in digitaler Fassung als PDF über Bibliotheken und Gedächtnisorganisationen barrierefrei zur Verfügung steht, als auch als Druckversion über den Buchhandel verbreitet und von Bibliotheken angeschafft werden kann. Die GSCL wird alle mit der Publikation anfallenden Kosten von professionellem Lektorat, Satz und dauerhafter Bereitstellung des Bandes übernehmen. Es steht zu erwarten, dass ein Zuschlag für die erfolgreichen Autorinnen und Autoren erhebliche Reputationsgewinne infolge der Schließung einer Lücke in der deutschsprachigen Computerlinguistik zur Folge haben wird. Weitere Anreize, insbesondere Honorare für das Verfassen von Texten oder die Herausgabe des Bandes werden von der GSCL explizit nicht ausgelobt. Zur Antragstellung Die GSCL bittet einschlägig erfahrene Wissenschaftlerinnen und Wissenschaftler um Einreichung eines Essays zur thematischen Ausrichtung einer Einführung. Die Einführung kann sowohl als monographische Schrift als auch als Sammelband konzipiert werden. Bis zum 15.12.2022 sind Autorinnen und Autoren oder Herausgeberinnen und Herausgeber aufgerufen, eine entsprechende kurze Konzeption einzureichen, welche die thematische Ausrichtung des Lehrbuches konzise skizziert und, im Falle von Sammelbänden, Einzelthemen und potenzielle Autorinnen und Autoren aufführt. Erwartet wird überdies ein straffer, aber umsetzbarer Zeitplan zur Durchführung der Publikation, die idealerweise innerhalb eines Jahres abzuschließen sein wird. Die Auswahl der Einreichungen wird bis zum 31.01.2023 erfolgen; entsprechende Vorschläge sind bitte unter dem Betreff „GSCL: Einführung in die Computerlinguistik“ an die Adresse informationsreferent(a)gscl.org zu richten

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Internship offer at INRIA
by Biswesh Mohapatra 14 Nov '22

14 Nov '22

Hello Everyone, I would like to inform you that our team [ http://articulab.hcii.cs.cmu.edu/ | Articulab ] at INRIA Paris is having an internship position for working on understanding pre-trained dialog models. PFA a description of the internship. Ideally, the candidate would start working in January 2023. Warm Regards, Biswesh Mohapatra INRIA

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Call for papers: Explainable AI in Natural Language Processing
by Somnath Banerjee 14 Nov '22

14 Nov '22

*** Apologies for cross-posting *** Call for papers: Explainable AI in Natural Language Processing Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc. As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings. The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task. The scope of this Research Topic covers (but is not restricted to) the following topics: • Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc. • Explainable Neural models in Machine Translation • Explainable Neural models in Named Entity Recognition • Explainable Neural models in Question Answering • Explainable Neural models in Sentiment Analysis • Explainable Neural models in Opinion Mining • Explainable Neural models in SocialNLP • Evaluation techniques used to measure the quality of explanations • Tools for explaining explainability • Resources related to XAI in the context of NLP The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome. The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural… Impact of the publication: https://www.frontiersin.org/about/impact The current deadlines are: * Abstract Deadline:16 December 2022 - A soft-deadline, thus whilst not mandatory, if you would like feedback on your prospective manuscript’s suitability, I encourage you to submit an abstract around this time. * Manuscript Deadline: 14 April 2023, This is a mandatory deadline for your full manuscript submission. However, we can accommodate personal extensions on a case-by-case basis. Guest Editors: Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee) David Tomás (University of Alicante, dtomas(a)dlsi.ua.es) Somnath Banerjee Lecturer, Institute of Computer Science, University of Tartu, Narva mnt 18, room 3063 51009 Tartu, ESTONIA webpage: http://www.ut.ee//~somnath/

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PhD Thesis defense: Benjamin Muller (Inria Paris, Almanach) 17/11/2022 8h30 "How Can We Make Language Models Better at Handling the Diversity and Variability of Natural Languages?"
by Djamé Seddah 14 Nov '22

14 Nov '22

Hi everyone, I have the pleasure to invite you to my Ph.D. defense next Thursday at 8:30 AM Paris time, it will take place at the Inria Paris Research Centre (2 rue Simone Iff, 75012 Paris) at the Jacques-Louis Lions room. It will be followed by a pot de thèse around 11 am. The Ph.D. committee will be made of: • Yoav Golberg, Bar Ilan University, Rapporteur • ‪Lilja Øvrelid, University of Oslo, Rapportrice • Benjamin Piwowarski, CNRS, Examinateur • Benoît Sagot INRIA Paris, Directeur • Natalie Schulter, IT University of Copenhagen, Examinatrice • Djamé Seddah, INRIA Paris, Superviseur Abstract: Deep Learning techniques applied to Natural Language Processing (NLP) have led to impressive empirical progress in recent years. In essence, this progress is due to the development of better-contextualized representations of textual data that can be easily used --- or transferred --- for a wide variety of NLP tasks. In their most recent and popular forms, these models consist of large-scale deep-learning language models, first pretrained on a large quantity of raw data and then adapted to specific tasks. These language models are now essential for search engines, question-answering pipelines, machine translation systems, etc. However, these models usually require substantial computing power and large amounts of raw textual data. This makes natural language's inherent diversity and variability a vivid challenge in NLP. Indeed, collecting large datasets for low-resource languages is challenging and costly, and training models from scratch for every domain and language is unreasonable in practice. Additionally, understanding the behavior of deep learning-based models is intrinsically tricky, making the development of more cost-effective techniques even more challenging. For these reasons, we focus on the following question: ``How can we make language models better at handling the variability and diversity of natural languages?''. As a starting step, we explore the generalizability of language models by building one of the first large-scale replication of a BERT model for a non-English language. We analyze the critical training ingredients and show that it can achieve state-of-the-art performance with only a few gigabytes of diverse data. Our results raise the question of using these language models on highly-variable domains such as these found in user-generated content. Focusing on domain-gap reduction via lexical normalization, we show that this task can be addressed accurately with BERT-like models. However, we show that it only partially helps downstream performance. In consequence, we focus on direct adaptation techniques using what we refer to as representation transfer and explore challenging settings such as the zero-shot setting, low-resource language varieties like Bambara or Uyghur, and highly variable and non-standardized code-mixed dialects such as a North-African Arabic dialect written in the Latin script. We show that multilingual language models can be adapted and used efficiently with low-resource languages, even with the ones unseen during pretraining, and that the script is a critical component in this adaptation. NLP technologies are becoming increasingly critical to accessing knowledge, connecting with our friends, and extracting meaningful information from large quantities of text. In this thesis, we present concrete and usable solutions to ensure that we can build accurate NLP systems for the most significant number of domains and languages at a reasonable cost. For those who cannot make it in person, a video-conference link will be shared in the following google doc: https://docs.google.com/document/d/1YW1sa_x6oTLiXzgXoc2vcJqxaiZmhyu4TUGgl_D… Best, Benjamin Muller

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LTC 2023 3rd Call for paper : NEW DEADLINE EXTENSION 12th December 2022
by pap 13 Nov '22

13 Nov '22

NEW DEADLINE EXTENSION for paper submission: 12th december 2022 for the 10th LANGUAGE AND TECHNOLOGY CONFERENCE: Human Language Technologies as a Challenge for Computer Science and Linguistics, April 21-23, 2023, Poznań, Poland (LTC 2023) 3rd CALL FOR PAPERS VENUE: April 21-23, 2023 in Poznań, Poland. IMPORTANT DATES/DEADLINES: * Deadline for submission of papers for review: December 12, 2022 * Acceptance/Refusal notification: January 7, 2023 * Deadline for submission of final versions of accepted papers: January 16, 2023 * Conference: April 21-23, 2023 To more info please do visit the WEB SITE: http://ltc.amu.edu.pl/ The Faculty of Mathematics and Computer Science of the Adam Mickiewicz University in Poznań (Poland) and the Adam Mickiewicz University Foundation organize the 10th LTC on April 21-23, 2023. Following the tradition of the past events, it is supported by ELRA, FlaReNet and META-NET. Since 2005 LTC is organized every two years as the “Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics”. Started 27 years ago, the conference find its origin in the Language and Technology Awareness Days, a meeting organized in 1995 with the assistance of the European Commission (DG XIII), with among the key speakers: Antonio Zampolli (Italy), Dafydd Gibbon (Germany), Dan Tufiş (Romania) and Orest Kossak (Ukraina). The conference addresses to researchers, advanced and beginning students, as well as all other people interested in the new advances at the borderline between computer science, human language industries and linguistics. CONFERENCE TOPICS LTC 2023 welcomes the submission of original unpublished papers on various aspects of Human Language Technology of both theoretical and practical importance including: * AI-oriented studies of human language competence * communicative intelligence * computational semantics * computer modeling of language competence * corpora-based methods in language engineering * electronic language resources and tools * formalization of natural languages * HLT related policies * HLT standards and best practices * HLTs as support for e-learning * HLTs as support for foreign language teaching * HLTs as support in solving Homeland Security problems (technology applications and legal aspects) * human-machine NL interfaces * knowledge representation * language-specific computational challenges for HLTs (especially for languages other than English) * legal issues connected with HLTs (problems and challenges) * Logic Programming in Natural Language Processing * methodological issues in HLT * neural networks in language engineering * NL applications in robotics * NL understanding by computers * NL user modeling * NLP methods in cyber-criminality detection and prevention * paralinguistic phenomena in Natural Language Processing * parsing and other forms of NL processing * question answering * sentiment, opinion and emotion analysis * socio-political aspects of HLTs * speech processing * system prototype presentations * technological aspects of nonverbal linguistics * text-based information retrieval and extraction * tools and methodologies for developing multilingual systems * translation enhancement tools * validation in all areas of HLTs * visionary papers in the field of HLT * WordNet-like ontologies PAPER SUBMISSION The conference accepts papers in English only. Papers (5 formatted pages in the conference format) are due by December 12, 2022 (midnight, any time zone) and should not disclose the author(s) in any manner. In order to facilitate submission we have decided to reduce the formatting requirements as much as possible at the submission stage. All submissions are to be made electronically via the LTC 2023 web submission system (EasyChair). Paper templates are available at http://www.ltc.amu.edu.pl (Paper Submission section). PUBLICATION POLICY Acceptance will be based on the reviewers' assessments (blind peer review by tree experts). The accepted papers will be published in the conference proceedings (hard and electronic copy, with ISBN number). The abstracts of the accepted contributions will also be made available via the conference page (during its lifetime). Publication requires full electronic registration and payment of the conference fee (full registration) by at least one co-authors in the due time (dates will be presented at the conference site). One registration fee entitles publication of one paper. Since 2005 until now, post-conference volumes with substantially extended versions of selected conference papers were published. Since 2007 these post-conference monographs were published in the Springer Verlag series Lecture Notes in Artificial Intelligence. We intend to continue this tradition. Papers will be selected based on reviewers’ reports among the best evaluated papers of general interest with new innovative results. Preference will be given to papers providing significant content extension with respect to the paper presented at the conference. LTC’23 SPECIAL TRACKS/WORKSHOPS for LTC Participants will be offered soon (please visit http://www.ltc.amu.edu.pl). AWARDS FOR BEST STUDENT PAPERS Special awards will be granted to the best student (status at the date of paper submission). The majoritarian student contribution to the paper must be confirmed by all paper co-authors in a written form. More details will be provided at the LTC website. To find information out about the winners at previous conferences please visit www.ltc.amu.edu.pl. ACCOMPANYING EVENTS Please do not hesitate to contact us with new suggestions and ideas concerning accompanying events (workshops, exhibits, panels, etc.). Suggestions, ideas and observations may be addressed directly to the LTC Chairs (vetulani(a)amu.edu.pl and pap(a)limsi.fr (cc to ltc23(a)amu.edu.pl and marta.witkowska(a)amu.edu.pl). LANGUAGE: The conference language is English. CONTACTS: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick Paroubek (pap(a)lisn.fr) (LTC23 Co-chairs), Marta Witkowska (LTC23 Secretary) (marta.witkowska(a)amu.edu.pl) MORE ABOUT THE CONFERENCE at the LTC23 website: http://www.ltc.amu.edu.pl *) City of Poznań: https://www.poznan.pl/mim/en/

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EACL 2023: 2nd Call for System Demonstrations (deadline: Dec 02, 2022)
by Joel Tetreault 11 Nov '22

11 Nov '22

(apologies for cross-posting) ================ EACL 2023 -- Call for System Demonstrations ================== - Website: https://2023.eacl.org/calls/demos/ - Deadline: December 2nd, 2022 - Questions? Email eacl2023demos(a)googlegroups.com The system demonstration track at EACL 2023 is a venue for papers describing system demonstrations, ranging from early prototypes to mature production-ready systems. Publicly available open-source or open-access systems are of special interest. All accepted demos are published in a companion volume of the conference proceedings. We expect at least one of the authors to present a live demo during a demo session at EACL 2023, with an accompanying poster, either virtually or in-person. Submissions will undergo a single-blind reviewing process. Therefore, papers may include author and affiliation information, and freely make references to previously published material, and URLs. This year we are incorporating ethical considerations in the review process. Authors will be allowed extra unlimited space after the main content for a broader impact statement or other discussions of ethics. Please review the ethics policy before submitting. =============================== Important Dates =============================== - Direct paper submission deadline: Friday, 2 December 2022 - Notification of acceptance: Friday, 8 February 2023 - Camera-ready papers due: Wednesday, 1 March 2023 - Main Conference: Wednesday – Friday, 3–5 May 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ======================== Paper Submission Information ========================= --- Topics of Interest --- Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for Computational Linguistics research - Software for analysis, demonstration, or evaluations - Software supporting learning or education - Tools for data visualization and annotation - Development tools Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2023. --- Submission Guidelines --- All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference. Submissions must include the following: - A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). We encourage authors to check recent demonstration papers at previous ACL, EACL, EMNLP, and NAACL conferences for examples. - A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. Otherwise, a video of a user interacting with the system can be used. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, or another website and include the link in your paper. If you prefer not to publicly upload a screencast, please submit the video (in MPEG4 format). The video must be included as supplementary material when you submit your paper through START. In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited. --- Submission Policy --- The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before. Authors submitting more than one demo paper to EACL 2023 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2023 (Research, SRW, Industry, or Demo) will be rejected by all tracks. --- Reviewing Policy --- Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. --- Ethics Policy --- Authors are required to honor the ethical code set out in the ACM Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work. Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ (shared with the main conference) for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. ---- Best Demo Award ---- We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference. ============================= Contact Information ============================= If you have questions that are not answered there, please email the program co-chairs at eacl2023demos(a)googlegroups.com. ---- Demo Track Co-chairs ---- - Danilo Croce (University of Rome, Tor Vergata) - Luca Soldaini (Allen Institute for AI)

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LFG 2023: First call for papers
by Tina Bögel 11 Nov '22

11 Nov '22

First Call for Papers [Apologies for cross-posting] LFG23: The 28th International Lexical-Functional Grammar Conference 21 July - 25 July 2023 University of Rochester Conference website: https://sas.rochester.edu/cls/lfg23/ Conference e-mail (NOT for abstract submission): lfg23 'at' rochester.edu Abstract submission deadline: 15 February 2023, 23:59 UTC-12 (midnight anywhere on Earth) Abstract submission link will be announced at https://sas.rochester.edu/cls/lfg23/ in January 2023 Invited speakers: TBA Workshop: 25 July 2023, theme TBA Conference mode: We are currently planning a physical conference and hope that speakers will be able to attend in person. A synchronous, online participation option will be available. LFG23 welcomes work within the formal architecture of Lexical-Functional Grammar as well as typological, formal, and computational work within the 'spirit of LFG' as a lexicalist approach to language employing a parallel, constraint-based framework. The conference aims to promote interaction and collaboration among researchers interested in non-derivational approaches to grammar, where grammar is seen as the interaction of (perhaps violable) constraints from multiple levels of structuring, including those of syntactic categories, grammatical relations, semantics and discourse. LFG23 is sponsored by the Center for Language Sciences at the University of Rochester (http://www.sas.rochester.edu/cls/) SUBMISSIONS: TALKS AND POSTERS The main conference sessions will involve 45-minute talks (30 min + 15 min discussion), and poster presentations. Contributions can focus on results from completed as well as ongoing research, with an emphasis on novel approaches, methods, ideas, and perspectives, whether descriptive, theoretical, formal or computational. Presentations should describe original, unpublished work. DISSERTATION SESSION As in previous years, we are hoping to hold a special session that will give students the chance to present recent PhD dissertations (or other student research dissertations). The dissertations must be completed by the time of the conference, and they should be made publicly accessible (e.g., on the World Wide Web). The talks in this session should provide an overview of the main original points of the dissertation; the talks will be 20 minutes, followed by a 10-minute discussion period. Students should note that the main sessions are certainly also open to student submissions. Students who present papers in either session will receive a small subvention towards their conference costs from the International LFG Association (ILFGA). TIMETABLE Deadline for abstracts: 15 February 2023, 23:59 UTC-12 (midnight anywhere on Earth) Notification of acceptance: 31 March 2023 Conference: 21 July - 25 July 2023 SUBMISSION SPECIFICATIONS The language of the conference is English, and all abstracts must be written in English. All abstracts should be submitted using the online submission system. Submissions should be in the form of abstracts only. Abstracts can be up to three A4 pages, including figures and references. Abstracts should be in 10pt or larger type, with margins of at least 2cm on all four sides, and should include a title. Omit name and affiliation (including in PDF document properties), and avoid obvious self-reference. For dissertation session submissions, please add "Dissertation" to the title of your abstract. Please submit your abstract in .pdf format (or a plain text file). The number of submissions is not restricted. However, in the interests of high participation and broad representation, each author should be involved in a maximum of two oral papers and can only be a single author of one. There are no restrictions on poster presentations. Authors may want to keep this in mind when stating their preferences concerning the mode of presentation of their submissions. All abstracts will be reviewed anonymously by at least three referees. Papers accepted to the conference can be submitted to the refereed proceedings, and will be published, subject to acceptance, online by CSLI Publications. (Please note that papers submitted to the proceedings are no longer automatically accepted for publication in the proceedings.) See http://web.stanford.edu/group/cslipublications/cslipublications/LFG/ for recent proceedings. PRE-CONFERENCE ACTIVITIES There will be a day of pre-conference activities on 21 July. The ParGram Project Meeting will be held in the morning and there will be a social activity in the afternoon. ORGANISERS AND THEIR CONTACT ADDRESSES If you have queries about abstract submission or have problems submitting your paper, please contact the Program Committee. Program Chairs (Email: lfg.progcom 'at' gmail.com) Tina Bögel, University of Konstanz and Goethe University Frankfurt Agnieszka Patejuk, Polish Academy of Sciences and University of Oxford Local conference organizers (Email: lfg23 'at' rochester.edu) Ash Asudeh, University of Rochester FURTHER INFORMATION Further information about LFG as a framework for linguistic analysis is available at the following site: https://ling.sprachwiss.uni-konstanz.de/pages/home/lfg/

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Call for Abstracts -- 2023 NARNiHS Research Incubator
by Lauersdorf, Mark R. 11 Nov '22

11 Nov '22

***** Call for Abstracts. ***** 2023 NARNiHS Research Incubator. ***** North American Research Network in Historical Sociolinguistics. ***** 5th edition! ==> 20-22 April 2023 -- entirely online! The 2023 NARNiHS Research Incubator will take place as an **entirely online event (with free registration)**. This presents a great opportunity for scholars in historical sociolinguistics from all over the world to participate as presenters and/or attendees without the limitations imposed by international travel, and we encourage our fellow historical sociolinguists, and scholars from related fields, from our global scholarly community (in addition to North America), to join us online for our Research Incubator this spring. ==> Abstract submission deadline: 19 December 2022, 11:59 PM (U.S. Eastern Time). ==> Abstract submission online: http://linguistlist.org/easyabs/NARNiHS2023_RI . The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its 2023 NARNiHS Research Incubator. Building on the great success of the first four years, the 5th edition of this unique kind of NARNiHS conference seeks to provide a collaborative environment where presenters bring work that is in-progress, exploratory, proof-of-concept, prototyping; and the audience actively participates in the brainstorming and workshopping of those new ideas. We see the NARNiHS Research Incubator as a place for testing/pushing boundaries; developing new theories, methods, models, tools; seeking feedback from peers willing to engage in productive assessment of fledgling ideas and nascent projects. Successful abstracts for this research incubator environment will demonstrate thorough grounding in the field, scientific rigor in the formulation of research questions, and promise for rich discussion of ideas. NARNiHS welcomes papers in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, methods, and models for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. We are soliciting abstracts for 25-minute presentations. Presenters will have the entire 25 minutes for their presentations, with discussion happening in the "incubation session" at the end of each panel. Abstracts should be no more than one page in length (not including examples and references, see below). Abstracts will be accepted until 19 December 2022 -- late abstracts will not be considered. Successful abstracts will be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued; and data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. Please note that the connection of your research to the field of historical sociolinguistics should be explicitly outlined in your abstract. Failure to adhere to these criteria will likely result in non-acceptance. To encourage maximum exchange of ideas in the brainstorming/workshopping environment of the NARNiHS Research Incubator, presentations will be grouped into thematic panels of three presentations, each panel followed by an hour-long discussion with the audience led by specialists. Discussion will encompass specific feedback on the individual papers as well as consideration of overarching questions of theory, methods, and models emerging from the papers. To facilitate such discussion, authors will be required to submit a draft of their presentation materials for distribution to the panel discussants and to the other presenters 10 days prior to the start of the conference. *** General Requirements ***: 1) Abstracts must be submitted electronically, using the following link: http://linguistlist.org/easyabs/NARNiHS2023_RI . 2) Papers must be delivered as projected in the abstract or represent bona fide developments of the same research. 3) Authors are expected to virtually attend the conference and present their own papers. 4) Presentations will be delivered via a video-conferencing platform, most likely Zoom. Technical details and instructions regarding the platform for our NARNiHS Research Incubator will be sent to authors in due time. *** Content Requirements ***: 1) Abstracts should be explicit about which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued. 2) Data sources and examples should be sufficiently (if briefly) presented, so as to allow reviewers a full understanding of the scope and claims of the research. 3) The connection of your research to the field of historical sociolinguistics should be explicitly outlined. *** Abstract Format Guidelines ***: 1) Abstracts must be submitted in PDF format. 2) Abstracts must fit on one standard 8.5×11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed. 3) Anonymize your abstract. We realize that sometimes it is not possible to attain complete anonymity, but there is a difference between "inability to anonymize completely" (due to the nature of the research) and "careless non-anonymizing" (for example: "In Jones 2021, I describe..."). In addition, be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on "File", then "Properties", removing your name if it appears in the "Author" line of the "Description" tab, and re-saving before submitting it). Please be aware that abstract file names might not be automatically anonymized by the system; do not use your name (e.g. Smith_Abstract.pdf) when saving your abstract in PDF format, rather, use non-identifying information (e.g. HistSoc4Lyfe_NARNiHS.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible (whether in the text of the abstract or in the metadata of the digital file) risk being rejected. Please contact us at NARNiHistSoc(a)gmail.com with any questions.

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[IRCDL2023] Call for papers: 19th Italian Research Conference on Digital Libraries (The Conference on Information and Research science Connecting to Digital and Library science)
by Stefano Marchesin 11 Nov '22

11 Nov '22

IRCDL 2023:Call for papers [APOLOGIES FOR MULTIPLE POSTINGS] ================================================================== CALL FOR PAPERS IRCDL 2023 The Conference on Information and Research science Connecting to Digital and Library science 2023 (Formerly the Italian Research Conference on Digital Libraries) Bari, Italy - 23-24 February 2023 Venue: University of Bari "Aldo Moro", Bari, Italy Website: http://lacam.di.uniba.it/IRCDL23/ ================================================================== Since 2005 the Italian Research Conference on Digital Libraries is a yearly date for researchers on Digital Libraries and related topics, organized by the Italian Research Community. Over the years IRCDL has become an important national forum focused on technical, practical, and social issues. IRCDL encompasses the many meanings of the term “digital libraries”, including new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. Digital libraries may be viewed as a new form of information institution or as an extension of the services libraries currently provide. Representatives from academia, government, industry, research communities, research infrastructures, and others are invited to participate in this conference. The conference draws from a broad and multidisciplinary array of research areas including computer science, information science, librarianship, archival science and practice, museum studies and practice, technology, social sciences, cultural heritage and humanities, and scientific communities. This year its focus is on Artificial Intelligence and Semantic Web Technologies Empowering Digital Libraries. AI is nowadays pervasive and is being embedded in all kinds of applications. Its techniques – from Knowledge Representation and Reasoning to Machine Learning and Data Mining, from Natural Language Processing to Image Processing, etc. – and application (e.g. for metadata enrichment and data analysis) may cause breakthroughs in DL research and practices for all kinds of stakeholders. Semantic Web technologies are key to exploiting the semantics of information preserved in DLs, thus enabling advanced and personalized services and functionality for its users. Submissions are welcome concerning theory, architectures, data models, tools, services, and infrastructures about the following topics (but not limited to): - Active Learning Techniques to guide DL enrichment and curation - Applications of Digital Libraries - Applications of Machine Learning Techniques to Research Data and DL - Citation Analysis and Scientometrics - Cultural Heritage Access and Analysis - Data Citation, Provenance and Pricing - Data and Information Lifecycle (creation, store, share and reuse) - Data and Metadata Quality - Data Repositories and Archives - Digital Preservation and Curation - Document Analysis (Layout, Text, Images) - Knowledge Acquisition from scientific papers and data - Knowledge Base Construction for cultural heritage - Knowledge Discovery and Representation in Digital Libraries - Human-Computer Interaction and User Experience - Information Extraction from tables and figures in scientific literature - Information Retrieval and Access - Metadata (definition, management, curation, integration) - Multi-media handling - Ontologies - Open Data and Open Science: models, practices, mandates, and policies - Quality and evaluation of digital libraries - Research Infrastructures - Scholarly Communication - Science of Science - Semantic Web Technologies and Linked Data for DLs - Services for Digital Arts and Humanities - Standards and Interoperability - User Participation IMPORTANT DATES Submission Deadline: 5 December 2022 Acceptance Notification: 20 January 2023 Camera-Ready Deadline: 13 February 2023 Conference: 23-24 February 2023 SUBMISSION FORMAT Research papers, describing original ideas on the listed topics and on other fundamental aspects of digital libraries and technology, are solicited. Moreover, short papers on early research results, new results on previous published works, discussion papers on previously published works, demos, and projects are also welcome. Research papers presenting original works should be in the 10-12 pages range, short papers should be in the 6-7 pages range and extended abstract should be 5 pages long. For all the submission types the references are not counted in the page limit. All papers must be written in English and formatted according to the new workflow for CEUR-WS style proceedings guidelines. The guidelines can be found here: http://ceur-ws.org/HOWTOSUBMIT.html Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): Overleaf template in LaTeX format: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w… Overleaf offline template (LaTeX format): http://ceur-ws.org/Vol-XXX/CEURART.zip Word template: http://ceur-ws.org/Vol-XXX/CEUR-Template-1col.docx ODT template: http://ceur-ws.org/Vol-XXX/CEUR-Template-1col.odt The accepted papers will be published in the IRCDL 2023 Proceedings. The Proceedings will be published by CEUR-WS, which is gold open access and indexed by SCOPUS and DBLP. SUBMISSION MODE Authors can submit their papers electronically via our submission page through Microsoft’s Conference Management Toolkit (CMT): https://cmt3.research.microsoft.com/IRCDL2023 GENERAL CHAIR Stefano Ferilli, University of Bari A. Moro, Italy PROGRAM CHAIRS Alessia Bardi, ISTI CNR, Italy Stefano Marchesin, University of Padua, Italy Domenico Redavid, University of Bari A. Moro, Italy PROCEEDINGS CHAIRS Alex Falcon, University of Udine, Italy LOCAL ORGANIZATION Davide Di Pierro, University of Bari A. Moro, Italy Paolo Mignone, University of Bari A. Moro, Italy -- Stefano Marchesin, PhD Postdoctoral Researcher Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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An oline talk by Professor Tony McEnery on "Discourse, language learning and learner corpora"
by a.lenko＠uw.edu.pl 11 Nov '22

11 Nov '22

Professor Tony McEnery of Lancaster University will give an online talk on "Discourse, language learning and learner corpora" on 15 November 2022 (Tuesday) at 1.15-2.45 (CET = GMT+01:00). The talk is part of the larger series of 10 lectures to celebrate the golden jubilee of the Institute of Applied Linguistics, University of Warsaw. The talk will also be simultaneously translated into Polish. All information about the lecture, i.e. the abstract and the link to registration, can be found at: <https://50-lecie.ils.uw.edu.pl/> https://50-lecie.ils.uw.edu.pl/ The information about the previous talks is also posted at this address. We cordially invite you to participate. Dr hab. Agnieszka Leńko-Szymańska Instytut Lingwistyki Stosowanej Uniwersytet Warszawski Institute of Applied Linguistics University of Warsaw Dobra 55, 00-314 Warszawa <mailto:a.lenko@uw.edu.pl> a.lenko(a)uw.edu.pl <http://www.ils.uw.edu.pl/> www.ils.uw.edu.pl

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2024

2023

2022

Corpora November 2022