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ESAO Webinar n.08 on Monday, June 12 –- Special Session with James Hampton (London, UK) -- Call for Participation
by Cassia 08 Jun '23

08 Jun '23

== ESAO Webinar n.08, Special Session in June 2023 == Dear all, The Educational Series on Applied Ontology (ESAO) [1] is open for everyone and welcomes students, researchers and practitioners alike (no registration needed). The 8th ESAO webinar will be held as special session on Monday, June 12, 2023 at 14:00 UTC, for up to 75 min (regional times: 10:00 EDT / 16:00 CEST / 16:00 SAST [2]) via Zoom (full connection details at the end of this message) https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Program & Speaker Info ---------------------- 10:00-11:15 EDT / 14:00-15:15 UTC / 16:00-17:15 / 16:00-17:15 SAST (50 min talk + discussion) Title: The psychology and philosophy of concept combination Speaker: James Hampton (City, University of London, UK) [3] SPECIAL SESSION of ESAO: - invited talk in connection with the PhD defense of Guendalina Rhigetti (Free University of Bozen-Bolzano, Italy) - actually hybrid, onsite in Bozen-Bolzano and online as ESAO webinar - format: scientific talk Abstract: I will review a wider range of research into the problem of how prototype concepts combine. When nouns are placed in a noun-noun compound, (e.g. CRIMINAL LAWYER) different strategies can be used in English to arrive at a semantic interpretation. I will discuss some of the processes involved, and the effects of stress. The second part of my talk will examine how people interpret logical connectives when applied to vague semantic categories such as Vehicle or Fruit. Finally I will present some new data looking at how people judge a conjunction of two vague predicates, as in "These sunglasses are large and dark" where both size and shade of a set of sunglasses are distributed around a vague boundary. Short Speaker CV: Educated at Cambridge and University College London. Professor of Psychology, City, University of London since 1977. Visiting appointments at Stanford, Cornell, Chicago (as a Fulbright Fellow), Yale, NYU, Ecole Normale Superieure in Paris, and Utrecht. Over 100 publications on the psychology and philosophy of concepts. Series Description ------------------ The IAOA [4] has created ESAO [1], an educational effort directed towards topics of Applied Ontology, primarily established basics and foundations. The series is inspired by the Interdisciplinary Schools on Applied Ontology (ISAO) [5] (for the next ISAO edition during July 10-14, 2023, please see [6] - ! EARLY REGISTRATION for ISAO 2023 closes on June 11 (EDT) !). ESAO is complementary in format and its overall approach. The goal is to provide a combination of an archive of educational material (e.g., short video lectures) and a series of webinars for presenting and discussing that material. Organization ------------ Members of the Education Technical Committee of IAOA [6] and among those primarily (in alphabetical order): * Lucía Gómez Álvarez * Frank Loebe * Sandra Lovrenčić * Cassia Trojahn (Chair) * Laure Vieu Contact E-Mail: info(a)iaoa.org [1] Educational Series on Applied Ontology https://wiki.iaoa.org/index.php/Edu:ESAO [2] Session time locally and in further places https://www.timeanddate.com/worldclock/fixedtime.html?iso=20230510T1400 [3] workpage of James Hampton https://www.city.ac.uk/about/people/academics/james-hampton [4] IAOA website http://iaoa.org/ [5] ISAO History page https://iaoa.org/index.php/isao-history/ [6] ISAO 2023 website https://fois2023.griis.ca/isao-2023/ [7] Entry page of the IAOA Education Technical Committee https://iaoa.org/index.php/faq/education-committee/ Connection Details ------------------ Topic: ESAO 8th Session Topic: 8th ESAO Time: June 12, 2023 04:00 PM Paris Join Zoom Meeting https://univ-tlse2.zoom.us/j/94745672720?pwd=ZjN5bGN6Rlc1UkxBSmQrSHRvVi95QT… Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by SIP • 94745672720(a)zoomcrc.com --- Join by H.323 • 162.255.37.11 (US West) • 162.255.36.11 (US East) • 221.122.88.195 (China) • 115.114.131.7 (India Mumbai) • 115.114.115.7 (India Hyderabad) • 213.19.144.110 (Amsterdam Netherlands) • 213.244.140.110 (Germany) • 103.122.166.55 (Australia Sydney) • 103.122.167.55 (Australia Melbourne) • 209.9.211.110 (Hong Kong SAR) • 149.137.40.110 (Singapore) • 64.211.144.160 (Brazil) • 69.174.57.160 (Canada Toronto) • 65.39.152.160 (Canada Vancouver) • 207.226.132.110 (Japan Tokyo) • 149.137.24.110 (Japan Osaka) Meeting ID: 947 4567 2720 Passcode: 980554 --- Join by Skype for Business https://univ-tlse2.zoom.us/skype/94745672720

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Job Offer: Doctoral Researcher (m/f/d) on Computational Linguistics, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Research Associate (m/f/d)* *in the field of Computational Linguistics* The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the area of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13, 50%) for an initial period of 3 years. The successful candidate (m/f/d) will contribute to research and teaching activities within the group and in the wider context of the University of Augsburg. They are encouraged to participate in grant proposals, research collaborations and scientific networks of the group, and to develop their independent academic profile in this process. The successful candidate (m/f/d) will have the opportunity to obtain a PhD in computational linguistics. The first year of the contract will be devoted to find a suitable topic taylored to their individual interests and skills. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Contribute to the development of interoperable tools and resources for NLP, corpus linguistics and digital humanities. *Your profile / Our requirements:* - Completed Master’s degree in computational linguistics, linguistics, digital humanities, linguistics, data science or a related field. - Demonstrated expertise in both technological (computational) and theoretical (linguistic) aspects of computational linguistics / language technology. - Background in one or more of the following technologies: - machine learning for NLP. - knowledge graphs, RDF, web technologies - morphological, syntactic or semantic parsing - digital humanities or corpus linguistics - Research interest in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - computational lexicography - NLP for low-resource or historical languages - Familiarity with machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. Previous publications at major NLP, Semantic Web or DH conferences will be considered a plus. *Your abilities:* - Good programming skills (e.g., Python, Java) or the commitment to develop them. - Ability for self-initiated working and structured organization of work. - Good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Ability to present complex scientific and technical matters in English or German. Commitment to develop such skills for both languages. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work in an interdisciplinary team - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is primarily tailored towards PhD candidates (m/f/d) but note that there is a parallel call of similar scope for Postdoc applicants (m/f/d). - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13), in part-time (50%) Applications should be transmitted by *June, 20th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/div) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV as well as diplomas (Bachelor/Master). We are happy to receive additional documents highlighting your scientific style (e.g., in the form of a master thesis or previous publications). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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Job Offer: Post-Doctoral Researcher (m/f/d) on Natural Language Processing (NLP) and/or Semantic Technologies, University of Augsburg, Germany
by Christian Chiarcos 08 Jun '23

08 Jun '23

The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg is looking for one: *Post-doctoral researcher (m/f/d)* *in the field of Natural Language Processing and/or Semantic Technologies * The Applied Computational Linguistics (ACoLi) Lab at the University of Augsburg, Germany, has been created in early 2023 as part of the Hightech Agenda of the Bavarian State Government. Headed by Prof. Dr. Christian Chiarcos, the group concentrates on research topics in natural language processing, natural language semantics, and knowledge graph technologies, as well as the application of these technologies in digital humanities and language technology. A specific research focus is the exploration of Linked Data technologies in this context. The University of Augsburg is a campus university in the city of Augsburg, Germany, in the Munich Metropolitan Region. It brings together fundamental research with applied research questions under the guiding vision of a network university. The university has a traditional focus on law, economics, social sciences and the humanities, along with promising fields in the natural and technical sciences as well as medicine. As part of a more general initiative in digitalization and Artificial Intelligence, the university is actively expanding its portfolio in the areas of natural language processing and digital humanities with the creation of several new professorships in this direction. The position is a faculty position (Akademische/r Rat/Rätin (m/f/d) Bes.Gr. A13, or Wissenschaftliche/r Mitarbeiter/in (m/f/d) TV-L E13) for an initial period of 3 years, extensible by another 3 years. The successful candidate (m/f/d) will contribute to the strategic development of the group. Together with Prof. Chiarcos, they will be responsible for the coordination of research and teaching activities within the group and in the wider context of the University of Augsburg. They are expected to develop and to contribute to grant proposals, research collaborations and scientific networks of the group, and they are encouraged to develop their independent academic profile in this process and by developing own research proposals. *Your tasks:* - Contribute to the group’s research, network, dissemination and publication activities. - Co-operate with colleagues from the humanities and from computer science in the development of collaborative research and teaching. - Develop an independent research profile and support or develop proposals for third-party funding. - Contribute to the course programme of the group on topics of computational linguistics and/or digital humanities. - Work towards a habilitation thesis or equivalent (“second book”). *Your profile / Our requirements:* - Completed doctoral thesis in computational linguistics, linguistics, computer science, data science or a related field. - Research focus in one or more of the following areas: - natural language semantics (e.g., WSD, SRL, NER, IE, AMR) - computational discourse (e.g., anaphor resolution, discourse parsing, implicit SRL) - NLP for low-resource or historical languages - Linguistic Linked Open Data or RDF technologies - Infrastructures and workflows for NLP or digital humanities - Strong scientific track record, including publications in the ACL Anthology and at either major NLP conferences, major Semantic Web conferences (e.g., ISWC) or venues that address both communities (e.g., LDK, LDL) - Solid background in machine learning and/or knowledge graph technologies. - Demonstrated experience in software development and/or programming. Familiarity with state-of-the-art libraries for machine learning and data analytics. *Your abilities:* - Strong competences in conceptualizing, conducting and evaluating NLP or DH research in a collaborative manner. - Excellent ability for self-initiated working and structured organization of work. - Very good communication and interpersonal skills, in particular enjoyment to work in an interdisciplinary team and with international collaborators. - Strong ability to present complex scientific and technical matters fluently in English. Ability or commitment to develop such skills for German, as well. - Motivation to teach aspects of NLP, computational linguistics or digital humanities, to participate in the supervision of students and in the group’s initiatives for public relations. *We offer:* - Interesting and diversified work an interdisciplinary team. - Engagement in national and international collaborations and dissemination activities in Germany, Europe, and worldwide - Flexible working hours - Training and further education opportunities - Lively campus and surroundings incl. family service & childcare facilities on campus *Contract conditions:* - Availability: as of now - Limited for an initial period of 3 years - The position is intended full-time, but can also be filled part-time, provided that job-sharing ensures that the duties can be performed full-time. - Salary: up to pay group 13 according to the collective agreement for the public service (TV-L E13) or as a civil servant (Akademische/r Rat/Rätin (m/f/d), Bes.Gr. A13), dependent on the assignment of tasks and qualifications Applications should be transmitted by *June, 29th 2023* The University of Augsburg promotes the professional equality of women. Female candidates are explicitly invited to submit their application. The University of Augsburg stands up for compatibility of family and professional life. For more information, please contact the women’s representative office. Severely disabled applicants (m/f/d) are given preferential consideration in the event of equal qualification. Applications, together with the usual documents should be sent to sekretariat.computerlinguistik(a)philhist.uni-augsburg.de. Applications should include a short motivation letter, scientific CV, list of publications as well as academic certificates. We are happy to receive additional documents, if available (e.g., up to three selected publications, a list of software repositories where you contributed, recommendation letters, etc.). Questions regarding the position can be directed to Prof. Dr. Christian Chiarcos, christian.chiarcos(a)uni-a.de.

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Job openings: PhD post in Formal Linguistics
by Jonathan Ginzburg 08 Jun '23

08 Jun '23

*Job openings: PhD studentship in Formal Linguistics*Duration : 36 months Beginning : Fall 2023 (ideally October 2023) Place : ATILF, From syntax to discourse axis (Nancy) and Laboratoire de Linguistique Formelle (Paris) Salary (net) : approx. 1750 euros per month *Thesis supervisors* : Mathilde Dargnat (Université de Lorraine and ATILF-CNRS, http://mathilde.dargnat.free.fr/), Jonathan Ginzburg (Labratoire de Linguistique Formelle, Université Paris-Cité, https://sites.google.com/site/jonathanginzburgswebsite/home) *Prerequisites : * Ÿ —Masters in Linguistics, Cognitive Science, or NLP. Ÿ —Excellent command of French. Ÿ —A solid background in formal or/and computational semantics would be advantageous. *To Apply: * 1. CV of at most 2 pages, 2. Transcripts for Masters and BSc/BA degrees 3. A letter of motivation . 4. The Masters thesis (or a draft thereof) and/or any submitted/accepted publications 5. Contact details for one or two referees. Ÿ Applications should be sent to: mathilde.dargnat at univ-lorraine.fr <mathilde.dargnat(a)univ-lorraine.fr>and yonatan.ginzburg at u-paris.fr <yonatan.ginzburg(a)u-paris.fr> Ÿ Deadline: *25 June, 2023* Ÿ *CODIM project short description* https://www.codim-project.org/ The CODIM project is funded by the A(gence) N(ationale) de la R(echerche). It focuses on two important linguistic resources that contribute to structuring monologues or conversations in human languages : D(iscourse) M(arkers) (therefore/donc, well/ben,bon etc. in English/French) and prosody (in particular, intonation). It will evaluate their status with respect to two major views on how complex meanings emerge: compositionality (the possibility of combining meaningful expressions into more complex meaningful expressions) and pattern- or construction-based approaches (the idea that language users exploit partly ‘frozen’ strings of words). We will compare the semantic and prosodic properties of simple and complex French DM (e.g. ah + bon) found in corpora for written and spoken French, using a variety of technical tools for DM identification (category-driven text mining), clustering (statistics and Machine Learning) and research in formal semantics and prosody (duration and intensity measures, contour representation). The project aims at fostering collaboration between linguists and computer scientists. Dissertation Topic: French discourse markers and compositionality The dissertation will focus on providing a semantic and pragmatic characterization of a class of DM combinations. This involves issues including the following: 1. When the DMs are in a markedly frequent combination and are intuitively close, accounting for the fact that their combination is not perceived to be redundant (e.g., donc du coup, alors donc, mais pourtant, mais quand même, et alors, donc voilà,). 2. When the DMs are intuitively quite distinctive, are they just complementary, which suggests that they introduce unconnected discourse relations/speaker manifestations? Or is another type of analysis needed? 3. Is the combination compositional? Addressing this question requires discussing and possibly elaborating on existing compositional techniques. For instance, current formal approaches in semantics are functional in an elementary mathematical sense: functions apply to arguments (which can themselves be functions) to deliver ‘interpretations’. Can one reduce the observed combinations to this type of mechanism? Also, in cases where such a reduction is possible, to what extent can it predict or motivate the strength of association between the DMs which cluster into the combination? Why is this particular association more frequent than others? Does it correspond, for example, to specific discourse moves which play a prominent role in interactions? 4. Are there cases of repulsion (DMs which do not occur together)? How come? Selected References Cooper, R. From Perception to Communication: A Theory of Types for Action and Meaning. Oxford University Press, 2023. Couper-Kuhlen, E. & Kortmann, B. (Eds.). 2000. Cause-Condition-Concession-Contrast. Cognitive and Discourse Perspectives. Berlin: De Gruyter Mouton. Crible, L. & Degand, L. 2019. Domains and Functions : A Two-Dimensional Account of Discourse Markers. Discours 24 (online), 35 p. Crible, L. & Degand, L. 2021. Co-occurrence and ordering of discourse markers in sequences: A multifactorial study in spoken French. Journal of Pragmatics 177, 18-28. Dargnat, M. 2020. Subjectivité et projection : le cas des particules discursives. In Actes du 7e Congrès Mondial de Linguistique Française, Montpellier, SHS Web of Conference 778, IDP Sciences. Dargnat, M. 2022. “Mais enfin”: construction et association. Langages 225, 49-63. Degand, L., Cornillie, B. & P. Pietrandrea (Eds.). 2013. Discourse Markers and Modal Particles. Categorization and Description. Amsterdam: Benjamins. Dostie G. 2004. Pragmaticalisation et marqueurs discursifs. Analyse sémantique et traitement lexicographique. Liège : De Boeck/Duculot. Ginzburg, J. (2012). The Interactive Stance. Meaning for Conversation. Oxford: Oxford University Press. Tian, Y. & Ginzburg, J. 2016. No I am: What are you saying “no” to? In Proceedings of Sinn und Bedeutung 21, 1241-1252. Haselow, A. 2019. Discourse marker sequences: Insights into the serial order of communicative tasks in real-time turn production. Journal of Pragmatics 146, 1-18. Haselow, A. & S. Hancil (Eds.). 2021. Studies at the Grammar-Discourse Interface. Discourse markers and discourse-related grammatical phenomena. Amsterdam: Benjamins. Heine, B., Kaltenböck, G., Kuteva, T. & H. Long (Eds.). 2021. The Rise of Discourse Markers. Cambridge: Cambridge University Press. Mosegaard Hansen, M.-B. 1998. The Function of Discourse Particles. Amsterdam: Benjamins.

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ICMI 2023 Call for Blue Sky Papers
by Gualtiero Volpe 07 Jun '23

07 Jun '23

=========================================== ACM ICMI 2023 2ND CALL FOR BLUE SKY PAPERS =========================================== 9-13 October 2023, Paris - France https://icmi.acm.org/2023/ =========================================== ICMI 2023 is pleased to partner with the Computing Community Consortium (CCC) to continue the Blue Sky Paper track, initialized in 2021 and continued in 2022, that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative directions. They may challenge existing assumptions and methodologies or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, argue rigorously, and present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). The review of the submissions will be handled by the Blue Sky Paper Chairs: Carlos Busso (University of Texas At Dallas), Philippe Palanque (University Toulouse III, France), and Björn Schuller (University of Augsburg, Germany). Three winners will be selected for presentation in the Blue Sky Paper track and publication in the conference proceedings. The CCC will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place winners in the form of travel grants. In addition, they will further distribute and publicize the three Blue Sky award papers. Important Dates --------------- Paper Submission June 17th, 2023 Paper notification July 14th, 2023 Camera-ready paper August 14th, 2023 Presenting at main conference October 9-13, 2023

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CALL FOR REGISTRATION: International Conference ‘Human-Informed Translation and Interpreting Technology’ (HiT-IT 2023)
by amalhaddad＠ugr.es 07 Jun '23

07 Jun '23

International Conference 'Human-Informed Translation and Interpreting Technology' (HiT-IT 2023) CALL FOR REGISTRATION The International Conference 'Human-Informed Translation and Interpreting Technology' invites registrations for its 2023 edition which will take place in Naples, Italy on 7, 8 and July 2023 with pre-conference tutorials scheduled on 6 July 2023 (http://hit-it-conference.org/home/). The deadline for early bird registration is 20 June 2023. The list of accepted papers is now available on the conference website: http://hit-it-conference.org/accepted-papers/ Updated information about the conference keynote speakers and their talks is available on: http://hit-it-conference.org/invited-speakers/

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CFP: 16th BUCC Workshop with Shared Task on Terminology Extraction at RANLP 2023
by Reinhard Rapp 07 Jun '23

07 Jun '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7 or 8, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc. The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 18, 2023: Paper submission deadline July 31, 2021: Notification of acceptance August 25, 2021: Camera ready final papers September 7 or 8, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr

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SemDial 2023 - MariLogue: Final call for papers
by Andy Lücking 07 Jun '23

07 Jun '23

* Apologies for cross-posting * Call for papers: SemDial 2023 Submissions date: June 16th, 2023 Submissions website: https://easychair.org/conferences/?conf=semdial2023marilogue # CALL FOR PAPERS SemDial 2023 -- MariLogue The 27th Workshop on the Semantics and Pragmatics of Dialogue 16--17 August, University of Maribor, Slovenia https://mezzanine.um.si/en/conference/semdial-2023-marilogue/ MariLogue will be the 27th edition of the SemDial workshop series, which aims to bring together researchers working on the semantics and pragmatics of dialogue in fields such as formal semantics and pragmatics, computational linguistics, artificial intelligence, philosophy, psychology, and neuroscience. We welcome submissions with formal, computational and empirical approaches to the semantics and pragmatics of dialogue, including, but not limited to: * the dynamics of agents' information states in dialogue * common ground/mutual belief * goals, intentions and commitments in communication * turn-taking and interaction control * semantic/pragmatic interpretation in dialogue * dialogue and discourse structure * categorisation of dialogue phenomena in corpora * child-adult interaction * language learning through dialogue * gesture, gaze, and intonational meaning in communication * multimodal dialogue * interpretation and reasoning in spoken dialogue systems * dialogue management * designing and evaluating dialogue systems * modelling miscommunication, disfluency and repair * dialogue/interaction studies from a psychological perspective * neuroscience of dialogue * Interactivist approaches to dialogue * animal communication # SUBMISSION INSTRUCTIONS: Long papers: Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). Short papers: Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submission to this track can be non-archival on request. Submissions should be pdf files and use the LaTeX (https://2023.aclweb.org/downloads/acl2023.zip) or Word (https://2023.aclweb.org/downloads/acl2023.docx) templates provided for ACL 2023 submissions. The LaTeX template is readily available on Overleaf (https://www.overleaf.com/latex/templates/acl-2023-proceedings-template/qjdg…). Concurrent submission policy: Papers that have been or will be submitted to other meetings or publications must provide this information, using a footnote on the title page of the submissions. SemDial 2023 cannot accept work for publication or presentation that will be (or has been) published elsewhere. Submission is electronic, using the EasyChair conference management system at our Easychair submission site (https://easychair.org/conferences/?conf=semdial2023marilogue). # IMPORTANT DATES: Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). * Long paper submissions due: June 16th, 2023 * Notification: July 14th, 2023 * Short paper submissions due: July 21st, 2023 * Final versions due: August 4th, 2023 * Registration Deadline for presenters/refund deadline: August 4th, 2023 * MariLogue Conference: August 16th--17th, 2023

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Call for Shared Task Participation: Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

CASE-2023 Shared Task - Task 2: Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict ================================================ The unprecedented quantity of easily accessible data on social, political, and economic processes offers ground-breaking potential in guiding data-driven analysis of socio political phenomena: Armed conflicts, political movements, fights for economic and social rights, and various related socio-political happenings are reported in news articles and social media posts and recorded in curated databases. On the other hand, automatic event detection from texts and event geocoding has long been a challenge for the natural language processing (NLP) community. It requires sophisticated methods and resources, such as Machine Learning models, linguistic rules and dictionaries, geographic gazetteers. Task definition The task Collecting and Geocoding Armed Clash Events in Russo-Ukrainian Conflict is being held as a sub-task of the 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023). The task will use data from the Russo-Ukrainian Conflict to test the capabilities of event detection systems to extract, geocode and de-duplicate armed clashes in news and social media postsл Evaluation will be based on the correlation between the spatio-temporal distribution and number of the extracted events and those which are in the ground truth data set. We invite contributions from researchers in NLP, ML, Deep Learning, and AI. The call is directed also towards socio-political scientists, researchers in conflict analysis and forecasting, peace studies, and computational social science. All participating teams will be able to publish their system description paper in the workshop proceedings published by ACL. For more information on the workshop, please visit the Workshop website https://emw.ku.edu.tr/case-2023/ <https://emw.ku.edu.tr/case-2022/> and the conference website https://ranlp.org/ranlp2023/. ================================================ 1. Data Gold Standard and Text Input Data for the participant systems for the time range 24.02.2022-24.08.2022 has been prepared and will be shared with the applicants on the Task website. 1.1 Training Data No training data are provided for this Task. The data utilized for CASE 2023 Task 1, which is described in Hürriyetoğlu, A. et al. (2022, 2020b), can be used for training systems for this task (Task 2). Additionally data can be used to build systems/models that can detect protest events in tweets and news articles. 1.2 Input Data The participant systems will be evaluated on raw data collections including Telegram messages, the New York Times and Ukrainian-Russian official news channels. Namely, the data collections comprise: • English language social media massage and news corpus comprising. 48.007 Telegram Messages and The New York Times News about Ukraine. • Ukrainian language social media collection comprising 102.135 Telegram Messages and Ukraine News Agency News. • Russian language social media collection comprising 8.534 Telegram Message and Russian News Agency News Further details on the text collections and sampling methods are provided in the folders news and Social Media of the github repo for the Task ( https://github.com/zavavan/case2023_task2). 1.3 Gold Standard Data The Russo-Ukrainian Conflict ground truth data primarily consists of data coming from the Armed Conflict Location & Event Data Project (ACLED). We will be adding alternative ground-truth datasets in order to prevent the bias that may be introduced by using a single definition and interpretation of an event. Full details on the manually curated data used as Gold Standard for the correlation analysis will be disclosed at the end of the evaluation period. Please check documentation on the folder gold_standard of the Task github repo. ================================================ 1. Evaluation The systems which participate in this shared task will be required to detect news articles and Telegram posts which contain description of ongoing armed clashes. The time and place of each armed clash should be detected at date level (regarding the time) and precise geographic coordinates (latitude and longitude). The systems should ideally extract event times, based on multiple text reports. In order to evaluate the ability of automatic event-coders to reproduce the gold standard armed clash event dataset, we adapt two correlation methods originally used in micro-level analysis of political violence by Hammond and Weidmann (2014), based on aggregation of event counts uniform grid geographical cells and 1-day time spans and apply a number of standard correlation coefficients and error measures. For each of the input text corpora in1.2, each participant may submit up to 3 different system responses. Each system response will consist of a csv file with the following naming pattern: “submission.<team-name>.<corpus>.<response-number>.csv” where <corpus> is either “social_media” or “news”. For instance: “submission.MyTeam.news.3.csv” for the 3rd submission of team “MyTeam” on the news corpus. Each system response file will have one line per event, where each line will have the following format: <id>,<City>,<Region>,<Country>,<Date> where <id> is a numerical event identifier, <City>,<Region>,<Country> are canonical English names of the City,State/Region and Country, respectively, of the detected event location. While only the <country> attribute is mandatory, systems are expected to assign a description of the event location at the finest grained level possible, as otherwise geographical coordinate conversion may penalize the correlation score on geographical cell aggregation. <Date> is the assigned date of the event in the format YYYY-MM-DD. A sample system response file line: 0,Kharkiv,Kharkiv Oblast,Ukraine,2022-05-02 A sample system output file can be downloaded from the Task repo at: https://github.com/zavavan/case2023_task2/blob/main/submission.myteam.news.… Important Dates (AoE time) ================================================ It is optional to use Task 1 systems. Participants may also use their own systems, which are developed independently of Task 1. Task 1 Training data available: May 1, 2023 Task 1 Test data available: May 15, 2023 Task 1 Evaluation period ends: June 30, 2023 Task 2 Sample Text archive is available: May 22, 2023 Task 2 Text archive for evaluation is available: July 1, 2023 Task 2 Evaluation period starts: July 1, 2023 Task 2 Evaluation period ends: July 24 System Description Paper submissions due: July 31, 2023 Notification to authors after review: August 7, 2023 Camera ready: August 25, 2023 Workshop period @ RANLP: Sep 7-8, 2023 Organization ================================================ - Hristo Tanev (Joint Research Centre (JRC), European Commission, Italy) - Onur Uca, Sociology (Sociology, Mersin University, Turkey) - Vanni Zavarella (University of Cagliari, Italy) - Ali Hürriyetoğlu (KNAW Humanities Cluster DHLab, the Netherlands) Please contact the organizers at hristo.tanev(a)ec.europa.eu or onuruca(a)mersin.edu.tr for your questions. 5.References Jesse Hammond and Nils B Weidmann. Using machine-coded event data for the micro-level study of political violence. Research & Politics, 1(2):2053168014539924, 2014. Hürriyetoğlu, A., Mutlu, O., Duruşan, F., Uca, O,. Gürel, A.,S., Radford, B., Dai, Y., Hettiarachchi, H., Stoehr, N., Nomoto, T., Slavcheva, M., Vargas, F., Javid, A., Beyhan, F., Yörük, E. (2022). Extended Multilingual Protest News Detection Shared Task1,CASE2021 and 2022. arXiv preprint arXiv:2211.11360. Url: https://arxiv.org/abs/2211.11360 Hürriyetoğlu, A., Yörük, E., Yüret, D., Mutlu, O., Yoltar, Ç., Duruşan, F., & Gürel, B. (2020b). Cross-context news corpus for protest events related knowledge base construction. arXiv preprint arXiv:2008.00351. In Automated Knowledge Base Construction (AKBC). URL: https://www.akbc.ws/2020/papers/7NZkNhLCjp

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Fwd: Call for Shared Task Participation: Event Causality Identification with Causal News Corpus at CASE @ RANLP 2023
by ali hürriyetoglu 07 Jun '23

07 Jun '23

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

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2024

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2022