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First CFP: The ClinicalNLP 2024 Workshop & Shared Tasks @ NAACL 2024
by Asma Ben Abacha 11 Jan '24

11 Jan '24

The 6th Clinical Natural Language Processing Workshop@ NAACL 2024 <https://2024.naacl.org/>. 20 or 21 June 2024, Mexico City, Mexico. https://clinical-nlp.github.io/2024 Clinical text is growing rapidly as electronic health records become pervasive. Much of the information recorded in a clinical encounter is located exclusively in provider narrative notes, which makes them indispensable for supplementing structured clinical data in order to better understand patient state and care provided. The methods and tools developed for the clinical domain have historically lagged behind the scientific advances in the general-domain NLP. Despite the substantial recent strides in clinical NLP, a substantial gap remains. The goal of this workshop is to address this gap by establishing a regular event in CL conferences that brings together researchers interested in developing state-of-the-art methods for the clinical domain. The focus is on improving NLP technology to enable clinical applications, and specifically, information extraction and modeling of narrative provider notes from electronic health records, patient encounter transcripts, and other clinical narratives. Relevant topics for the workshop include, but are not limited to: - Modeling clinical text in standard NLP tasks (tagging, chunking, parsing, entity identification, entity linking/normalization, relation extraction, coreference, summarization, etc.) - De-identification and other handling of protected health information - Disease detection and other coding of clinical documents (e.g., ICD) - Structure of clinical documents (e.g., section identification) - Information extraction from clinical text - Integration of structured and textual data for clinical tasks - Domain adaptation and transfer learning techniques for clinical data - Generation of clinical notes: summarization, image-to-text, generation of notes from clinical conversations, etc. - Annotation schemes and annotation methodology for clinical data - Evaluation techniques for the clinical domain - Bias and fairness in clinical text In 2024, Clinical NLP will encourage submissions from the following special tracks: - Clinical NLP in low-resource settings (e.g., languages other than English) - Clinical NLP for clinical conversations (e.g., doctor-patient) - Risk analysis of large language models for clinical NLP (e.g., privacy, bias) The 6th Clinical NLP Workshop will be co-located with NAACL 2024 in Mexico City on June 20 or 21. Shared Tasks Clinical NLP 2024 is hosting four shared tasks: - Task 1 - MEDIQA-CORR: Medical Error Detection & Correction - Task 2 - MEDIQA-M3G: Multilingual & Multimodal Medical Answer Generation - Task 3 - EHRSQL: Reliable Text-to-SQL Modeling on Electronic Health Records - Task 4 - Chemotherapy Timelines Extraction Please visit the shared task websites to register to participate and for additional information about the shared tasks. - MEDIQA-CORR: https://sites.google.com/view/mediqa2024/mediqa-corr - MEDIQA-M3G: https://sites.google.com/view/mediqa2024/mediqa-m3g - EHRSQL: https://github.com/glee4810/ehrsql-2024 - Chemotherapy Timelines Extraction: http://chemotimelines2024.healthnlp.org Submissions The OpenReview submission site is: - https://openreview.net/group?id=aclweb.org/NAACL/2024/Workshop/Clinical_NLP All submissions must follow ACL formatting guidelines <https://acl-org.github.io/ACLPUB/formatting.html>, including: - Submissions should be anonymous and must not include any identifying information about the authors <https://acl-org.github.io/ACLPUB/review-version.html> - Long papers may have up to eight (8) pages of content and short papers may have up to four (4) pages of content. - You are allowed unlimited pages for references <https://acl-org.github.io/ACLPUB/formatting.html#paper-length>. Any “Limitations” section or “Ethics Statement” is similar to references; it does not count toward the page limit. Clinical NLP 2024 has no preprint restrictions; you may post to arXiv at any time. Clinical NLP 2024 workshop proceedings are archival will be published on the ACL Anthology <https://aclanthology.org/venues/clinicalnlp/>. We encourage submissions of papers submitted to but not accepted by EACL 2024 <https://2024.eacl.org/>, NAACL 2024 <https://2024.naacl.org/>, or ACL Rolling Review <https://aclrollingreview.org/>, as long as the topics are relevant to Clinical NLP. Important Dates All deadlines are 11:59PM UTC-12:00 (anywhere on Earth <https://www.timeanddate.com/time/zones/aoe>). EventDate Submission deadline Tuesday, March 19, 2024 Notification of acceptance Tuesday April 16, 2024 Final versions of papers due Wednesday April 24, 2024 Workshop June 20 or 21, 2024Shared Task Dates EventDate Shared task registration opens Monday January 8, 2024 Shared task release of training / validation sets Friday January 26, 2024 Shared task release of the test sets Monday February 26, 2024 Shared task run submission deadline Friday March 1, 2024 Shared task release of official results Wednesday March 6, 2024 Paper-related deadlines See General Dates aboveWorkshop Organizers - Asma Ben Abacha (Microsoft) - Danielle Bitterman (Harvard Medical School) - Kirk Roberts (UTHealth Houston) - Steven Bethard (University of Arizona) - Tristan Naumann (Microsoft Research) Contact For inquiries, please contact: clinical-nlp-workshop-organizers(a)googlegroups.com.

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Semantic Methods for Events and Stories, 2nd Edition (SEMMES 2024) – Call for Papers
by Pasquale Lisena 11 Jan '24

11 Jan '24

*************** Semantic Methods for Events and Stories, 2nd Edition (SEMMES 2024) – Call for Papers *************** Website: https://anr-kflow.github.io/semmes/ Workshop co-located with the Extended Semantic Web Conference (ESWC) in Hersonissos, Greece Submission deadline: March 7th, 2024 Scope *************** An important part of human history and knowledge is made of events, which can be aggregated and connected to create stories, be they real or fictional. These events as well as the stories created from them can typically be inherently complex, reflect societal or political stances and be perceived differently across the world population. The Semantic Web offers technologies and methods to represent these events and stories, as well as to interpret the knowledge encoded into graphs and use it for different applications, spanning from narrative understanding and generation to fact-checking. The aim of the 2nd edition of our workshop on Semantic Methods for Events and Stories (SEMMES) is to offer an opportunity to discuss the challenges related to dealing with events and stories, and how we can use semantic methods to tackle them. We welcome approaches which combine data, methods and technologies coming from the Semantic Web with methods from other fields, including machine learning, narratology or information extraction. This workshop wants to bring together researchers working on complementary topics, in order to foster collaboration and sharing of expertise in the context of events and stories. Topics *************** Topics of interest include, but are not limited to: - Ontologies and data models for representing events, event relations, and narratives; - Event extraction, co-reference and linking; - Event Relation extraction and linking (e.g. temporal, causal, modal relationships); - Methods combining KGs and LLMs targeting event- or narrative-related research; - Fake events detection and event verification; - Event-centric question answering; - Event information visualisation; - Event-centric knowledge graphs and vocabularies; - Completion of event-centric knowledge graphs and reasoning; - Event summarisation; - Automatic narrative understanding and generation; - Storytelling Applications/Demos. Submission Guidelines *************** We welcome the following types of contributions. - Long papers (10-15 pages including references) - Short papers (5-9 pages including references) We welcome any types of research, resource and application papers, as well as (short only) demonstration submissions. Submissions must be written in English and formatted using the template for submissions to CEUR Workshop Proceedings (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…) All papers and abstracts have to be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=semmes2024. Each accepted paper needs to be presented by one of the authors, who agrees to register and participate in SEMMES. Authors may be requested to serve as reviewers for max 2 papers. Important Dates *************** - Submission deadline: March 7th, 2024 - Notifications: April 4th, 2024 - Camera-ready version: April 18th, 2024 - Workshop day: May 26th or 27th, 2024 (half-day, TBA) All deadlines are 23:59 anywhere on earth (UTC-12). Proceedings *************** The complete set of papers will be published with the joint CEUR ESWC Workshop Proceedings (http://CEUR-WS.org), listed by the DBLP. -- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/

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8th Workshop on Online Abuse and Harms (WOAH) @NAACL: 1st CFP
by Yi-Ling Chung 11 Jan '24

11 Jan '24

*** First Call for Papers *** We invite paper submissions to the 8th Workshop on Online Abuse and Harms (WOAH), which will take place on June 20/21 at NAACL 2024. Website: https://www.workshopononlineabuse.com/cfp.html Important Dates Submission due: March 10, 2024 ARR reviewed submission due: April 7, 2024 Notification of acceptance: April 14, 2024 Camera-ready papers due: April 24, 2024 Workshop: June 20-21, 2024 Overview Digital technologies have brought many benefits for society, transforming how people connect, communicate and interact with each other. However, they have also enabled abusive and harmful content such as hate speech and harassment to reach large audiences, and for their negative effects to be amplified. The sheer amount of content shared online means that abuse and harm can only be tackled at scale with the help of computational tools. However, detecting and moderating online abuse and harms is a difficult task, with many technical, social, legal and ethical challenges. The Workshop on Online Abuse and Harms invites paper submissions from a wide range of fields, including natural language processing, machine learning, computational social sciences, law, politics, psychology, sociology and cultural studies. We explicitly encourage interdisciplinary submissions, technical as well as non-technical submissions, and submissions that focus on under-resourced languages. We also invite non-archival submissions and civil society reports. The topics covered by WOAH include, but are not limited to: * New models or methods for detecting abusive and harmful online content, including misinformation; * Biases and limitations of existing detection models or datasets for abusive and harmful online content, particularly those in commercial use; * New datasets and taxonomies for online abuse and harms; * New evaluation metrics and procedures for the detection of harmful content; * Dynamics of online abuse and harms, as well as their impact on different communities * Social, legal, and ethical implications of detecting, monitoring and moderating online abuse In addition, we invite submissions related to the theme for this eighth edition of WOAH, which will be online harms in the age of large language models. Highly capable Large Language Models (LLMs) are now widely deployed and easily accessible by millions across the globe. Without proper safeguards, these LLMs will readily follow malicious instructions and generate toxic content. Even the safest LLMs can be exploited by bad actors for harmful purposes. With this theme, we invite submissions that explore the implications of LLMs for the creation, dissemination and detection of harmful online content. We are interested in how to stop LLMs from following malicious instructions and generating toxic content, but also how they could be used to improve content moderation and enable countermeasures like personalised counterspeech. To support our theme, we have invited an interdisciplinary line-up of high-profile speakers across academia, industry and public policy. Submission Submission is electronic, using the Softconf START conference management system. Submission link: TBD The workshop will accept three types of papers. * Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. * Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere. * Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere. Format and styling All submissions must use the official ACL two-column format, using the supplied official style files. The templates can be downloaded in Style Files and Formatting<https://github.com/acl-org/acl-style-files>. Please send any questions about the workshop to organizers(a)workshopononlineabuse.com<mailto:organizers@workshopononlineabuse.com> Organisers Paul Röttger, Bocconi University Yi-Ling Chung, The Alan Turing Institute Debora Nozza, Bocconi University Aida Mostafazadeh Davani, Google Research Agostina Calabrese, University of Edinburgh Flor Miriam Plaza-del-Arco, Bocconi University Zeerak Talat, MBZUAI The Alan Turing Institute is a limited liability company, registered in England with registered number 09512457. Our registered office is at British Library, 96 Euston Road, London, England, NW1 2DB. We are also a charity registered in England with charity number 1162533. This email and any attachments are confidential and may be legally privileged. If you have received it in error, you are on notice of its status. If you have received this message in error, please send it back to us, and immediately and permanently delete it. 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If you think someone may have interfered with this email, please contact the Alan Turing Institute by telephone only and speak to the person dealing with your matter or the Accounts Department. Fraudsters are increasingly targeting organisations and their affiliates, often requesting funds to be transferred to a different bank account. The Alan Turing's bank details are contained within our terms of engagement. If you receive a suspicious or unexpected email from us, or purporting to have been sent on our behalf, particularly containing different bank details, please do not reply to the email, click on any links, open any attachments, nor comply with any instructions contained within it, but contact our Accounts department by telephone. Our Transparency Notice found here - https://www.turing.ac.uk/transparency-notice sets out how and why we collect, store, use and share your personal data and it explains your rights and how to raise concerns with us.

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2nd CfP: Workshop on Reference, Framing, and Perspective
by Pia Sommerauer 11 Jan '24

11 Jan '24

We are very pleased to share our second call for papers for our workshop on Reference, Framing, and Perspective co-located with LREC-COLING 2024. * Workshop website: https://cltl.github.io/reference-framing-perspective/ * When: Saturday, May 25th, 20204 * Where: Torino, Italy (co-located with LREC-COLING 2024) * Deadline for submissions: February 20, 2024 * Paper submission link: https://softconf.com/lrec-coling2024/reference-framing-perspective2024/user/ * Deadline for camera-ready papers: beginning of April 1, 2024 * Shared dataset: https://github.com/cltl/rfp_corpus_collection When something happens in the world, we have access to an unlimited range of ways (from lexical choices to specific syntactic structures) to refer to the same real-world event. We can chose to express information explicitly or imply it. Variations in reference may convey radically different perspectives. This process of making reference to something by adopting a specific perspective is also known as framing. Although previous work in this area is present (see Ali and Hassan (2022)’s survey for an overview), there is a lack of a unitary framework and only few targeted datasets (Chen et al., 2019) and tools based on Large Language Models exist (Minnema et al., 2022). In this workshop, we propose to adopt Frame Semantics (Fillmore, 1968, 1985, 2006) as a unifying theoretical framework and analysis method to understand the choices made in linguistic references to events. The semantic frames (expressed by predicates and roles) we choose give rise to our understanding, or framing, of an event. We aim to bring together different research communities interested in lexical and syntactic variation, referential grounding, frame semantics, and perspectives. We believe that there is significant overlap within the goals and interests of these communities, but not necessarily the common ground to enable collaborative work. Referentially Grounded Shared Dataset One way to study variation in framing is to conduct contrastive analyses of texts reporting on the same real-world event. Such an analysis can help to reveal the extent of variation in framing and possibly give rise to the underlying factors that lead to different choices in framing the same event. We collected such a corpus about the Eurovision Song Festival and make it available as a Shared Dataset for the Workshop. The purpose of this corpus is to enable exploratory analyses, facilitate discussion among participants, and, last but not least, make our workshop a real working workshop. The corpus is composed of news articles reporting on the Eurovision Song Contest that took place in Rotterdam, the Netherlands (canceled in 2020 and held in 2021). The news articles have been collected using the structured data-to-text approach (Vossen et al., 2018). The corpus contains news articles in multiple languages. We invite participants to submit short and targeted analyses using the data (extended abstracts to be discussed in a hands-on data session). Participants are also free to use the data in regular contributions. Regular contributions: We aim to lay the groundwork for such efforts. We invite contributions (regular long papers of 8 pages or short papers of 4 pages) targeting any of the following - non-exhaustive - list of topics: * Theoretical models of framing and perspective * Annotation frameworks for framing and perspectives * Computational models of framing and perspective * Approaches for creating and analyzing referentially grounded datasets (containing different perspectives, written at different points in time, written in different languages) * Approaches for and analyses of texts about contested and divisive events triggering different opinions and perspectives * Analyses of and methods for analyzing (diachronic) lexical variation and framing * Language resources for reference, frames, and perspectives * Approaches and tools to compare claims of sources * Frames as expressions of bias in the representation of social groups * User interface for the visualization of multiple perspectives Extended abstracts: We invite extended abstracts (1,500 words maximum) about small analyses or experiments conducted on our Shared Data. The abstracts will be non-archival and discussed in a dedicated data session. Invited speakers: Maria Antoniak Vered Shwartz Organizers: Pia Sommerauer, Tommaso Caselli, Malvina Nissim, Levi Remijnse, Piek Vossen

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link to January 11th talk
by Susana Sotillo 11 Jan '24

11 Jan '24

Would you kindly send me a link to today's talk? I registered several days ago but I did not get a link. Susana M. Sotillo

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Fully Funded PostDoc Position in NLP / Scientific Document Analysis
by Niemann, Elisabeth 11 Jan '24

11 Jan '24

Fully Funded PostDoc Position in NLP / Scientific Document Analysis The Tübingen AI Center at the University of Tübingen is looking for a motivated postdoctoral researcher interested in natural language processing for scientific document analysis. The researcher will be supervised by Prof. Andreas Geiger (University of Tübingen) and Iryna Gurevych (TU Darmstadt) and will have the opportunity to supervise Master and PhD students. Description: The body of scientific literature is growing at an ever-increasing rate. As a result, it is increasingly difficult for researchers to keep up-to-date. This hinders scientific progress at large and leads to a suboptimal usage of resources including research funds, compute, energy and intellectual capacity. In this project, we plan to develop novel NLP methods and algorithms and to collect new datasets to advance research in scientific documents processing. Research topics include: * Efficient hierarchical and multi-modal document representations * Structured intra- and inter-document models * Distillation and adaptation of LLMs for scientific document analysis and generation * Self-supervised learning with multi-scale pre-text tasks * Explainable and grounded scientific document models * Deployment of algorithms and collection of datasets (www.scholar-inbox.com) Requirements: We are looking for candidates that hold a PhD degree and who have published at top conferences in the field (ACL, EMNLP, NAACL, TACL). About Us: The University of Tübingen is one of Germany's excellence universities with an excellence cluster on machine learning, an ELLIS Unit and the Tübingen AI Center. Embedded in the interdisciplinary research environment of CyberValley, the Autonomous Vision Group conducts curiosity-driven fundamental research, providing researchers with access to unique research facilities and great research teams. Currently, 2 PhD students are working on this project. Our culture is international, inclusive and collaborative. We are looking forward to your application! To apply, please send your application materials including your CV, research statement, transcripts and names of referees to: a.geiger(a)uni-tuebingen.de

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DHd2024 Registration Reminder
by Haider, Thomas 11 Jan '24

11 Jan '24

Dear Colleagues, Tomorrow is the last day for Early Bird registration for DHd2024 in Passau. Late Bird registration will be open until 18.02.2024 Please register through conftool. More information: https://dhd2024.dig-hum.de/registrierung/ For the DHd2024 Team in Passau Thomas Haider

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Open-Rank Faculty Positions in Natural Language Processing @INSAIT in Sofia
by Niemann, Elisabeth 11 Jan '24

11 Jan '24

Open-Rank Faculty Positions in Natural Language Processing @INSAIT in Sofia Join a fantastic growing team of world-class researchers: the Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) in Sofia, Bulgaria is looking to establish a strong profile in Natural Language Processing (NLP). We solicit applications for multiple fulltime open-rank (both senior and junior) faculty positions in Natural Language Processing. The faculty will closely collaborate with the UKP Lab, Technical University of Darmstadt, Germany (Prof. Iryna Gurevych). INSAIT has been founded in 2022. Its mission is to become a high-profile computer science and AI research institution. It has recently become an ELLIS unit (https://ellis.eu/units/sofia). INSAIT is structured similarly to top U.S. and European research institutions (tenure-track and tenured faculty positions, PhD duration, etc.). This is a unique opportunity with outstanding working conditions with regard to facilities, packages, resources, and salaries. More information about the opening and the application process can be found here: https://cra.org/job/institute-for-computer-science-artificial-intelligence-… https://ellis.eu/jobs/open-tenure-track-and-tenured-ai-faculty-positions-at… For questions, please send a message to Iryna Gurevych (iryna dot gurevych at tu-darmstadt dot de)

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CfP: AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo)
by Johanna Binnewitt 11 Jan '24

11 Jan '24

Dear corpora-list, We would like to draw your attention to the Thematic Track "AI in Digital Humanities, Computational Social Sciences and Economics Research (AI-HuSo)", which will take place at FedCSIS 2024 in Belgrade from September 8-11, 2024. The event aims to bring together research from various disciplines in the humanities, social sciences and economics, focusing on the use of computational methods, machine learning and AI. Further information on the topics and the deadlines can be found here: https://2024.fedcsis.org/thematic/ai-huso Contact: ai-huso(a)fedcsis.org ======================================================================= AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo) ======================================================================= Belgrade, Serbia, 8–11 September, 2024 This thematic track is dedicated to the computational study of Social Sciences, Economics and Humanities, including all subjects like, for example, education, labour market, history, religious studies, theology, cultural heritage, and informative predictions for decision-making and behavioural-science perspectives. While digital methods and AI have been emerging topics in these fields for several decades, this thematic track is not only limited to discoveries in these domains, but also dedicated to the reflections of these methods and results within the field of computer science. Thus, we are in particular interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods. Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, we see this thematic track as place for interdisciplinary learning, discussing a joint toolbox as a support for scholars from these field with human and context-aware agents. The aim of this thematic track is thus to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields. Topics The list of topics includes, but is not limited to: - AI and computational approaches for the interdisciplinary work of the social sciences, economics, and humanities: report on theoretical, methodological, experimental, and applied research. - AI and computational approaches for linking data from different digital resources, including online social networks, web and data mining, Knowledge Graphs, Ontologies. - AI and computational methods for text mining and textual analysis, for example texts within social sciences, digital literary studies, computational stylistics and stylometry. - Text encoding, computational linguistics, annotation guidelines, OCR for humanities, economics, and social sciences. - Network analysis, including social and historical network analysis. While we encourage submissions from a broad background, every year we also encourage submissions to two special topics. In 2024 these will be: - Ethical and philosophical considerations of AI in society and research. - Sociological challenges for AI in society, e.g., labour market, education or media. In general, the applications of interest are included in the list below, but are not limited to: - Labour market research and qualification, including behavioral-science perspectives. - Education: Digital methods and systems, e-learning, adult education, etc. - Contributions to the application of technology to culture, history, and societal issues: For example, computational text analysis, analytical and visualization, databases, etc. - In particular, we welcome submissions which focus on a critical reflection of digital methods in the humanities, economics and social sciences within computer science. - Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection.

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TOC: Lexique 33
by Nabil Hathout 11 Jan '24

11 Jan '24

We are happy to announce a new special issue of the Lexique journal on “Démonette: a French Derivational Database”, edited by Nabil Hathout and Fiammetta Namer. The issue focuses on the results of the ANR Démonext "Derivation in Extension" project (2018-2022) and on uses of some of these results. https://www.peren-revues.fr/lexique/942 The issue features the following articles: * Nabil Hathout et Fiammetta Namer Démonette : une base de données dérivationnelle du français * Fiammetta Namer, Nabil Hathout, Dany Amiot, Lucie Barque, Olivier Bonami, Gilles Boyé, Basilio Calderone, Julie Cattini, Georgette Dal, Alexander Delaporte, Guillaume Duboisdindien, Achille Falaise, Natalia Grabar, Pauline Haas, Frédérique Henry, Mathilde Huguin, Nyoman Juniarta, Loïc Liégeois, Stéphanie Lignon, Lucie Macchi, Grigoriy Manucharian, Caroline Masson, Fabio Montermini, Nadejda Okinina, Franck Sajous, Daniele Sanacore, Mai Thi Tran, Juliette Thuilier, Yannick Toussaint et Delphine Tribout Démonette-2, a derivational database for French with broad lexical coverage and fine-grained morphological descriptions * Mathilde Huguin, Lucie Barque, Pauline Haas et Delphine Tribout Typage sémantique des noms dans la ressource morphologique Démonette * Basilio Calderone, Nabil Hathout et Olivier Bonami Phonolette: a grapheme-to-phoneme converter for French * Nabil Hathout, Fiammetta Namer, Olivier Bonami, Georgette Dal et Stéphanie Lignon Generation of exercises for derivational morphology using the Démonette database * Stéphanie Caët, Caroline Masson, Loïc Liégeois, Lucie Macchi, Christine Da Silva-Genest et Nadejda Okinina Explorer des corpus oraux à l’aide de la base de données Démonette-2 : usage de mots construits dans des interactions adulte(s)-enfant(s) * Frédérique Brin-Henry et Fiammetta Namer Mesurer la similarité morphologique entre mot produit et mot attendu chez les adultes avec aphasie : étude pilote * Guillaume Duboisdindien, Julie Cattini et Georgette Dal Améliorer les compétences lexicales dans le cadre d’un Trouble Développemental du Langage avec la base Démonette-2 * Guillaume Duboisdindien et Georgette Dal Programme de recherche participative DEMONEXT : partenariat et co-construction des savoirs entre chercheurs et orthophonistes * Bernard Fradin Repères critiques sur « Les familles dérivationnelles : comment ça marche ? » * Michel Roché Les familles dérivationnelles : comment ça marche ? Best regards, Fiammetta Namer et Nabil Hathout -- CLLE, CNRS & Université de Toulouse Jean Jaurès Maison de la Recherche. F-31058 Toulouse cedex 9 Tél. (+33) 561-504-013. Nabil.Hathout(a)univ-tlse2.fr http://nabil.hathout.free.fr/

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2024

2023

2022