December 2022 - Corpora

[WWW-2023 - FinWeb] CFP - The 3rd Workshop on Financial Technology on the Web
by CHUNG-CHI CHEN 15 Dec '22

15 Dec '22

Dear colleagues, We are pleased to share the information of The 3rd Workshop on Financial Technology on the Web (FinWeb) with you. FinWeb-2023 is to be held in April 30-May 4, 2023 in conjunction with The Web Conference 2023. We invite the submission of papers on original research in this area. We offer the prize in the main track (USD$500 to the Best Paper Award winner). In addition to the main track, there is a shared task collocated with FinWeb-2023: Exaggerated numeral detection (ExNum) shared task. *Submission Deadline: Feb. 06, 2023* The proceedings of the workshops will be published jointly with the conference proceedings. Please refer to the site of FinWeb-2023 for more details: https://sites.google.com/nlg.csie.ntu.edu.tw/finweb-2023/home Sincerely, Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen FinWeb-2023 Organizers --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org <cjchen(a)nlg.csie.ntu.edu.tw> Website: http://cjchen.nlpfin.com

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Learner Corpus Research Summer School, CECL/UCLouvain, 3-7 July 2023
by Gaëtanelle Gilquin 15 Dec '22

15 Dec '22

The Centre for English Corpus Linguistics (CECL) is organizing the fifth edition of its Learner Corpus Research Summer School, which will take place at the University of Louvain, Belgium, from 3 to 7 July 2023. The aim of the Summer School is to introduce learner corpus research through a series of lectures, workshops and hands-on sessions. It is intended both for (junior and seasoned) researchers who have recently embarked on a learner corpus project and those who simply want to know more about this exciting field of research. No prior knowledge in learner corpus research is expected. Teaching staff: Sylvie De Cock, Gaëtanelle Gilquin, Sylviane Granger, Marie-Aude Lefer, Magali Paquot and Jennifer Thewissen. The following topics will be covered: Learner corpus design/compilation Learner corpus annotation (including error annotation) Learner corpus analysis (including data coding, Contrastive Interlanguage Analysis, Integrated Contrastive Model, introduction to statistics for learner corpus research) Interpreting learner corpus data Applications of learner corpus research Hands-on sessions will help participants familiarize themselves with a range of software tools for linguistic analysis and native and learner corpora, in particular the International Corpus of Learner English and the Louvain International Database of Spoken English Interlanguage. Participants will have the opportunity to give a brief presentation of their project at the Learner Corpus Colloquium which will take place on the first day. The Summer School will also feature one-to-one sessions with members of the CECL team to answer questions related to the design of individual projects. Registration will open on 23 January 2023. Please note that the number of participants is limited to 30. Information about the Summer School can be obtained from the following website: https://uclouvain.be/en/research-institutes/ilc/cecl/learner-corpus-researc…

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CfPs RiCL 11/1
by Paula Rodríguez-Puente 15 Dec '22

15 Dec '22

Dear colleagues, *Research in Corpus Linguistics* (RiCL, ISSN 2243-4712), the official journal of the *Spanish Association for Corpus Linguistics* (AELINCO), is seeking for contributions to be published in the first issue of 2023 – June (11/1). Authors interested in publishing their work in this issue should* submit their contributions by February 15*. RiCL invites previously unpublished submissions in four main forms: 1. *Papers reporting on* research based on or derived from *corpora*. 2. *Research* *papers**reporting* * on* *corpus* *construction*, annotation, the development and application of corpus tools, software, etc. 3. *Book reviews* in the field of Corpus Linguistics. 4. *Review articles* in the field of Corpus Linguistics. Further information about RiCL’s editorial policies can be found here <https://urldefense.com/v3/__https://ricl.aelinco.es/index.php/ricl/editoria…>. Specific areas of interest include corpus design, compilation, and typology; discourse, literary analysis and corpora; corpus-based grammatical studies; corpus-based lexicology and lexicography; corpora, contrastive studies and translation; corpus and linguistic variation; corpus-based computational linguistics; corpora, language acquisition and teaching; and special uses of corpus linguistics. Please, note that submissions must adhere to the submission guidelines <https://urldefense.com/v3/__https://ricl.aelinco.es/index.php/ricl/about/su…> of RiCL. Further information at: *https://**ricl**.aelinco.es* <https://urldefense.com/v3/__https://ricl.aelinco.es/__;!!D9dNQwwGXtA!S3r4UM…> All the best, Paula Rodríguez-Puente and Carlos Prado-Alonso *Editors-in-chief* -- Paula Rodríguez Puente paula.r.puente(a)gmail.com http://www.usc-vlcg.es/PRP.htm

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December 2022 Newsletter - LDC
by Penn LDC 15 Dec '22

15 Dec '22

In this newsletter: LDC 2023 membership discounts now available Approaching deadline for Spring 2023 data scholarship applications 30th Anniversary Highlight: AMR ________________________________ New publications: CAMIO Transcription Languages<https://catalog.ldc.upenn.edu/LDC2022T07> Global TIMIT Thai<https://catalog.ldc.upenn.edu/LDC2022S13> Third DIHARD Challenge Evaluation<https://catalog.ldc.upenn.edu/LDC2022S14> LDC 2023 membership discounts now available Now through March 1, 2023, current 2022 members receive a 10% discount for renewing their membership, and new or returning organizations receive a 5% discount. Membership remains the most economical way to access current and past LDC releases. Consult Join LDC<https://www.ldc.upenn.edu/members/join-ldc> for details on membership options and benefits. Approaching deadline for Spring 2023 data scholarship applications Attention students: don't miss out on the chance to receive no-cost access to LDC data for your research. Applications for Spring 2023 data scholarships are due January 15, 2023. For more information on requirements and program rules, see LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. 30th Anniversary Highlight: AMR Abstract Meaning Representation (AMR) annotation was developed by LDC, SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group, and the Information Sciences Institute at the University of Southern California. It is a semantic representation language that captures "who is doing what to whom" in a sentence. Each sentence is paired with a graph that represents its whole-sentence meaning in a tree-structure. AMR utilizes PropBank frames, non-core semantic roles, within-sentence coreference, named entity annotation, modality, negation, questions, quantities, and so on to represent the semantic structure of a sentence largely independent of its syntax. LDC's Catalog contains three cumulative English AMR publications: Release 1.0 (LDC2014T12<https://catalog.ldc.upenn.edu/LDC2014T12>), Release 2.0 (LDC2017T10<https://catalog.ldc.upenn.edu/LDC2017T10>), and Release 3.0 (LDC2020T02<https://catalog.ldc.upenn.edu/LDC2020T02>). The combined result in AMR 3.0 is a semantic treebank of roughly 59,255 English natural language sentences from broadcast conversations, newswire, weblogs, web discussion forums, fiction, and web text, and includes multi-sentence annotations. LDC has also published Chinese Abstract Meaning Representation 1.0 (LDC2019T07<https://catalog.ldc.upenn.edu/LDC2019T07>) and 2.0 (LDC2021T13<https://catalog.ldc.upenn.edu/LDC2021T13>), developed by Brandeis University and Nanjing Normal University. These corpora contain AMR annotations for approximately 20,000 sentences from Chinese Treebank 8.0 (LDC2013T21<https://catalog.ldc.upenn.edu/LDC2013T21>). Chinese AMR follows the basic principles developed for English, making adaptations where necessary to accommodate Chinese phenomena. Abstract Meaning Representation 2.0 - Four Translations (LDC2020T07<https://catalog.ldc.upenn.edu/LDC2020T07>), developed by the University of Edinburgh, School of Informatics, consists of Spanish, German, Italian, and Chinese Mandarin translations of a subset of sentences from AMR 2.0. Visit LDC's Catalog <https://catalog.ldc.upenn.edu/> for more details about these publications. ________________________________ New publications: CAMIO Transcription Languages<https://catalog.ldc.upenn.edu/LDC2022T07> was developed by LDC and contains nearly 70,000 images of machine printed text with corresponding annotations and transcripts in 13 languages: Arabic, Chinese, English, Farsi, Hindi, Japanese, Kannada, Korean, Russian, Tamil, Thai, Urdu, and Vietnamese. This corpus is a subset of data created for a broader effort to support the development and evaluation of optical character recognition and related technologies for 35 languages across 24 unique script types. Most images were annotated for text localization, resulting in over 2.3M line-level bounding boxes; 1250 images per language were also annotated with orthographic transcriptions of each line plus specification of reading order, yielding over 2.4M tokens of transcribed text. The resulting annotations are represented in an XML output format defined for this corpus. Data for each language is partitioned into test, train, or validation sets. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Global TIMIT Thai<https://catalog.ldc.upenn.edu/LDC2022S13> consists of 12 hours of read speech and time-aligned transcripts in Standard Thai from 50 speakers (33 female, 17 male) reading 120 sentences selected from the Thai National Corpus<https://www.arts.chula.ac.th/ling/tnc/>, the Thai Junior Encyclopedia<https://www.au.edu/royal-activities/the-thai-encyclopedia-for-youth-project…>, and Thai Wikipedia, for a total of 6000 utterances. Data was collected in 2016. Speakers were recruited in the Bangkok metropolitan area; they were native Thais, fluent in Standard Thai, and literate. This data set was developed as part of LDC's Global TIMIT project which aims to create a series of corpora in a variety of languages with a similar set of key features as in the original TIMIT Acoustic-Phonetic Continuous Speech Corpus (LDC93S1)<https://catalog.ldc.upenn.edu/LDC93S1> which was designed for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Third DIHARD Challenge Evaluation<https://catalog.ldc.upenn.edu/LDC2022S14> was developed by LDC and contains 33 hours of English and Chinese speech data along with corresponding annotations used in support of the Third DIHARD Challenge<https://dihardchallenge.github.io/dihard3>. The DIHARD third development and evaluation sets were drawn from diverse sources including monologues, map task dialogues, broadcast interviews, sociolinguistic interviews, meeting speech, speech in restaurants, clinical recordings, and amateur web videos. Annotations include diarization and segmentation. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options; or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Call for Papers: ACL 2023 Student Research Workshop
by Devamanyu Hazarika 15 Dec '22

15 Dec '22

Student Research Workshop co-located with ACL 2023 in Toronto, Canada (July 10th-12th, 2023) ***Paper Submission Deadline: May 5th, 2023*** Important Dates - Pre-submission mentoring deadline: March 10, 2023 - Pre-submission feedback: April 26, 2023 - Paper submission deadline: May 5, 2023 - Review deadline: May 20, 2023 - Acceptance notifications: May 30 2023 - Camera-ready deadline: June 6, 2023 - ACL 2023 conference dates: July 10-12, 2023 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). About the Student Research Workshop The ACL 2023 Student Research Workshop (SRW) is a forum to bring together students investigating various areas of Computational Linguistics, Natural Language Processing and Machine Learning. The workshop provides an excellent opportunity for participants to present their work and to receive mentorship and valuable feedback from the international research community. The workshop's goal is to aid students at multiple stages of their education, including undergraduate, MSc/MA, junior and senior PhD students, in getting familiar with conducting and presenting their research. General Rules for Submission We invite papers in two different categories: - Research Papers: Papers in this category can describe completed work, or work in progress with preliminary results. For these papers, the first author **MUST BE** a current student (graduate or undergraduate). Topics of interest for the SRW are the same as for the main ACL 2023 conference: <https://www.2022.aclweb.org/calls> https://2023.aclweb.org/calls/main_conference/ - Thesis Proposals: This category is appropriate for PhD students who have decided on a thesis topic and wish to get feedback on their proposal and broader ideas for their continuing work. Submissions (in both categories) may either be archival or non-archival, based on the wish of the authors. All archival papers will be published in the ACL 2023 SRW Proceedings. Non-archival papers may be submitted to any venue in the future except for another SRW. The submission links are on our website (https://acl2023-srw.github.io/). Please read the guidelines carefully. Why Submit to ACL SRW? There are many good reasons to submit to the ACL SRW, such as: - Mentorship program: ACL SRW provides a unique opportunity for students to receive constructive feedback and to improve their work through a pre-submission mentorship program. - Improving your publication record: publishing a paper as an undergraduate or as a MSc/MA student is beneficial when applying for a PhD program. Publishing a paper in an ACL SRW workshop can be really helpful for improving students’ publication record. - Explorative Studies: We encourage the submission of studies with positive and negative results providing insights on why and in which scenarios a particular method succeeds and fails. All accepted papers and thesis proposals will be presented either as oral presentations or during poster sessions, which will give students an opportunity to interact with and to present their work to a large and diverse audience, including top researchers in the field and assigned mentors. Pre-Submission Mentorship Program The SRW offers students the opportunity to receive feedback prior to submitting their work for review. The goal of the pre-submission mentorship program is to improve the quality of writing and presentation of the student's work, not to critique the work itself. Participation is optional but encouraged. The pre-submission mentorship is not anonymous. Students wishing to participate in the pre-submission mentorship must submit their paper draft by March 10, 2023. Note that even though the mentoring is not done anonymously, the paper needs to be anonymized. We will check for the formality of the paper including formatting before we match it with mentors. The participants will be assigned a mentor who will review and will provide feedback within four weeks. This mentor will not be the same person who will review the final submission. The feedback will be in the form of guidelines and suggestions to improve the overall writing, which should ideally be incorporated before the actual submission deadline. You CAN submit a paper at the SRW submission deadline even if you did not participate in the pre-submission mentoring. If you did submit a draft for pre-submission mentoring, you will need to make a new submission for the final version of the paper. The submission website will have separate tracks for pre-submission mentorship and the final paper submission. Submission Requirements We accept both archival submissions (which will be included in the conference proceedings) and non-archival submissions (which will be presented at the workshop but will not be included in the proceedings). All submissions (archival and non-archival) must follow the anonymity period and the restrictions of the main conference. Long papers consist of up to eight (8) pages of content, plus an unlimited number of pages for references and supplementary material like the appendix. Upon acceptance, papers will be given one additional page of content (up to 9 pages). Short papers consist of up to four (4) pages of content, plus an unlimited number of pages for references and supplementary material like the appendix. Upon acceptance, papers will be given one additional page of content (up to 5 pages). Authors are encouraged to use the additional page to address reviewers’ comments. Paper submissions must use the official ACL style templates, which are available as an Overleaf template <https://www.overleaf.com/read/crtcwgxzjskr> and also downloadable directly <https://github.com/acl-org/ACLPUB/tree/master/templates> (Latex and Word). We strongly encourage participants to use the Latex template. All submissions must be in PDF format and must conform to the official style guidelines, which are contained in these template files. The review process will be double-blind, and thus all submissions must be anonymized. The SRW invites papers on topics related to computational linguistics, including but not limited to the following: - Computational Social Science and Social Media - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics, and Beyond - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation and Multilinguality - NLP Applications - Phonology, Morphology, and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical - Semantics: Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking, and Parsing Grants We expect to have grants to offset some portion of students' travel, conference registration, and accommodation expenses. Further details will be posted on the SRW website. To contact the organizers of the workshop, please email us at: acl2023.srw(a)gmail.com.

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Postdoc or PhD student in Computational Linguistics, Saarland University
by Alexander Koller 15 Dec '22

15 Dec '22

Research and teaching position (postdoc or PhD student) in computational linguistics HTML version with hyperlinks: https://www.coli.uni-saarland.de/~koller/page.php?id=jobs We are looking to fill a research and teaching position in computational linguistics at the Department of Language Science and Technology at Saarland University. The position is part of the research group of Prof. Alexander Koller, but offers great flexibility in developing your own research and teaching agenda, and collaborations with other research groups are encouraged. The position is flexible with respect to topic, but it should connect thematically with current topics of interest to the research group. These include syntactic and semantic parsing, semantics, dialogue, and natural language generation; themes of particular interest are currently user adaptation in interactive NLP and neurosymbolic models. You should have expertise in neural and/or linguistically principled methods in computational linguistics and be willing to take an active role in shaping the research and teaching environment of the department. The position includes a teaching load of up to four hours per week in the BSc Computational Linguistics (in German) and/or the MSc Language Science and Technology (in English). Both programs attract excellent and highly motivated students; it is not unusual for our students to publish papers at peer-reviewed conferences before graduation. The MSc students in particular are a very international crowd, with two thirds joining us from abroad. You will typically teach two seminars per semester on topics of your choice, which will allow you to motivate students to do BSc and MSc theses under your supervision. This is a position on the German TV-L E13 scale (100% position at the postdoc level; 75% position at the PhD student level). The starting salary of a 100% TV-L E13 position is a bit over 50,000 Euros per year and increases with experience. The initial appointment will be for three years; the position can be extended up to the limits of the German law for academic contracts (WissZeitVG). The starting date is April 1 or later: We want to fill the position in 2023, but could leave it open beyond April for the ideal candidate. Requirements We are looking for candidates who have finished, or are about to complete, an excellent PhD degree (at the postdoc level) or MSc degree (at the PhD student level) in computational linguistics, computer science, or a related discipline. You must be proficient in English (spoken and written); the ability to teach in German is a plus. Priority will be given to applicants at the postdoc level, who should have demonstrated their research expertise through high-quality publications. However, we will also consider applicants at the PhD student level. About the department Saarland University is one of the leading centers for computational linguistics in Europe, and offers a dynamic and stimulating research environment. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. The department is the centerpiece of the Collaborative Research Center 1102 "Information Density and Linguistic Encoding". It is part of the Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus, such as the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI). The Saarland Informatics Campus brings together 900 researchers and 2100 students from 81 countries; SIC faculty have won 36 ERC grants. Saarland University is located in Saarbrücken, a mid-sized city in the tri-border area of Germany, France, and Luxembourg. Saarbrücken combines a lively culture scene with a relaxed atmosphere, and is quite an affordable place to live in. Our department maintains an international and diverse work environment. The primary working language is English; learning German while you are here will make it easier to connect with the local culture, but is not necessary for your work. How to apply Please submit your application at http://apply.coli.uni-saarland.de/ak22. Preference will be given to applications received by 22 January 2023. Include a single PDF file with the following information: • a statement of research interests that motivates why you are applying for this position and outlines your research agenda; • a full CV including your list of publications; • scans of transcripts and academic degree certificates; • the names, affiliations, and e-mail addresses of two people who can provide letters of reference for you. Saarland University especially welcomes applications from women and people with disabilities. If you have further questions, please email Alexander Koller <koller(a)coli.uni-saarland.de>. Applications should _not_ be emailed to this address, but submitted through the online form.

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CfP deadline update: Workshop @ICHL26 on Computational models of diachronic language change
by Stefania Degaetano-Ortlieb 15 Dec '22

15 Dec '22

Call for abstracts Workshop: Computational models of diachronic language change @the International Conference on Historical Linguistics (ICHL26) Organizers: Stefania Degaetano-Ortlieb*, Lauren Fonteyn+, Marie-Pauline Krielke*, Elke Teich* *Saarland University, +Leiden University Submission deadline: January 10th 2023 Submission format: One-page abstract (plus references) to be sent to s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> Notification of acceptance: January 12th 2023 Additional information: We envisage a full day workshop in presence with presentations (20min + 5-10 min discussion). After the workshop, we aim to publish a Special Journal Issue in an open access journal. Workshop description: While the study of diachronic language change has long been firmly grounded in corpus data analysis, it seems fair to state that the field has been subject of a computational turn over the last decade or so, computational models being increasingly adopted across several research communities, including corpus and computational linguistics, computational social science, digital humanities, and historical linguistics. The core technique for the investigation of diachronic change are distributional models (DMs). DMs rely on the fact that related meanings occur in similar contexts and allow us to study lexical-semantic change in a data-driven way (e.g. as argued by Sagi et al. 2011), and on a larger scale (e.g. as shown on the Google NGram corpus by Gulordava & Baroni 2011). Besides count-based models (e.g. Hilpert & Saavedra 2017), contextualized word embeddings are increasingly employed for diachronic modeling, as such models are able to encode rich, context-sensitive information on word usage (see Lenci 2018 or Fonteyn et al., 2022 for discussion). In previous work, DMs have been used to determine laws of semantic change (e.g. Hamilton et al. 2016b, Dubossarsky et al. 2017) as well as develop statistical measures that help detect different types of change (e.g. specification vs. broadening; cultural change vs. linguistic change; Hamilton et al. 2016a, Del Tredici et al. 2019). DMs have also been used to map change in specific (groups of) concepts (e.g. racism, knowledge; see Sommerauer & Fokkens 2019 for a discussion). Further studies have suggested ways of improving the models that generate (diachronic) word embeddings to attain these goals (e.g. Rudolph & Blei 2018). Existing studies and projects focus on capturing and quantifying aspects of semantic change. Yet, over the past decade, DMs have also been shown to be useful to investigate other types of change in language use, including grammatical change. Within the computational and corpus linguistic communities, for example, Bizzoni et al. (2019, 2020) have shown an interdependency between lexical and grammatical changes and Teich et al. (2021) use embeddings to detect (lexico-) grammatical conventionalization (which may lead to grammaticalization). Within diachronic linguistics, the use of distributional models is focused on examining the underlying functions of grammatical structures across time (e.g. Perek 2016, Hilpert and Perek 2015, Gries and Hilpert 2008, Fonteyn 2020, Budts 2020). Specifically targeting historical linguistic questions, Rodda et al. (2019) and Sprugnoli et al. (2020) have shown that computational models are promising for analyzing ancient languages, and McGillivray et al. (2022) highlight the advantages of word embeddings (vs. count-based methods) while also pointing to the challenges and the limitations of these models. A common concern across these different communities is to better understand the general principles or laws of language change and the underlying mechanisms (analogy, priming, processing efficiency, contextual predictability as measured by surprisal, etc.). In the proposed workshop, we want to bring together researchers from relevant communities to talk about the unique promises that computational models hold when applied to diachronic data as well as the specific challenges they involve. In doing so, we will identify common ground and explore the most pressing problems and possible solutions. Specific questions will concern: Model utility: How can we capture change in language use beyond lexical-semantic change, e.g. change in grammatical constructions, collocations, phraseology? Model quality: How can we evaluate computational models of historical language stages in absence of native-speaker gold standards? To what extent does the quality of historical and diachronic corpora affect the performance of models? Model analytics: How do we transition from testing the reliability of models to employing them to address previously unanswered research questions on language change? How can we detect and measure change? What are suitable analytic procedures to interpret the output of models? References: Bizzoni, Y., Degaetano-Ortlieb, S., Menzel, K., Krielke, P., and Teich, E. (2019). Grammar and meaning: analysing the topology of diachronic word embeddings. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, ACL, Florence, Italy, pp. 175185. Bizzoni, Y., Degaetano-Ortlieb, S., Fankhauser, P., and Teich, E. (2020). Linguistic variation and change in 250 years of English scientific writing: a data-driven approach. Frontiers in Artificial Intelligence, 3. Budts, S. (2020). "A connectionist approach to analogy. On the modal meaning of periphrastic do in Early Modern English". Corpus Linguistics and Linguistic Theory, 18(2), pp. 337364. Del Tredici, M., Fernández, R., and Boleda, G. (2019). Short-term meaning shift: A distributional exploration. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Human Language Technologies, Minneapolis, Minnesota, USA, pp. 20692075. Dubossarsky, H., Weinshall, D., and Grossman, E. (2017). Outta control: laws of semantic change and inherent biases in word representation models. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), Copenhagen, Denmark, pp. 11361145. Fonteyn, L. (2020). "What about grammar? Using BERT embeddings to explore functional-semantic shifts of semi-lexical and grammatical constructions." Computational Humanities Research CEUR-WS, pp. 257268. Fonteyn, L., Manjavacas, E., and Budts, S. (2022). Exploring Morphosyntactic Variation & Change with Distributional Semantic Models. Journal of Historical Syntax, 7(12), pp. 141. Gries, S. T., and Hilpert, M. (2008). The identification of stages in diachronic data: variability-based Neighbor Clustering. Corpora, 3(1), pp. 5981. Gulordava, K., and Baroni, M. (2011). A distributional similarity approach to the detection of semantic change in the Google Books Ngram corpus. In Proceedings of Geometrical Models for Natural Language Semantics (GEMS), EMNLP, Edinburgh, United Kingdom, pp. 6771. Hamilton, W. L., Leskovec, J., and Jurafsky, D. (2016a). Cultural shift or linguistic drift? comparing two computational models of semantic change. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP, Austin, Texas, USA, pp. 21162121. Hamilton, W. L., Leskovec J., and Jurafsky, D. (2016b). Diachronic word embeddings reveal statistical laws of semantic change. In Proceedings of Morphosyntactic Variation & Change with DSMs, 54th Annual Meeting of the Association for Computational Linguistics, ACL, Berlin, Germany, pp. 14891501. Hilpert, M., and Saavedra, D.C. (2020). "Using token-based semantic vector spaces for corpus-linguistic analyses: From practical applications to tests of theoretical claims". Corpus Linguistics and Linguistic Theory, 16(2), pp. 393424. Hilpert, M. and Perek, F. (2015). Meaning change in a petri dish: constructions, semantic vector spaces, and motion charts. Linguistics Vanguard, 1(1), pp. 339350. Lenci, A. (2018). Distributional Models of Word Meaning. Annual Review of Linguistics, 4, pp. 151171. McGillivray, B., Jenset, G.B., Salama, K. (2022. Investigating patterns of change, stability, and interaction among scientific disciplines using embeddings. Nature Humanities and Socical Science Communication 9, 285. Perek, F. (2016). Using distributional semantics to study syntactic productivity in diachrony: a case study. Linguistics, 54(1), pp. 149188. Rodda, M.A., Probert, P., and McGillivray, B. (2019). Vector space models of Ancient Greek word meaning, and a case study on Homer. TAL Traitement Automatique des Langues, 60(3), pp. 6387. Rudolph, M., and Blei, D. (2018). Dynamic embeddings for language evolution. In Proceedings of the 2018 World Wide Web Conference (WWW 18), Lyon, France, pp. 10031011. Sagi, E., Kaufmann, S., and Clark, B. (2011). Tracing semantic change with Latent Semantic Analysis. Current Methods in Historical Semantics, 73, pp. 161183. Sommerauer, P., and Fokkens, A. (2019). Conceptual Change and Distributional Semantic Models: An Exploratory Study on Pitfalls and Possibilities. In Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Florence, Italy, pp. 223233. Sprugnoli, R., Moretti, G., and Passarotti, M. (2020). Building and Comparing Lemma Embeddings for Latin. Classical Latin versus Thomas Aquinas. IJCoL. Italian Journal of Computational Linguistics, 6(6-1), pp. 2945. Teich, E., Fankhauser P., Degaetano-Ortlieb, S., and Bizzoni, Y. (2021). Less is More/More Diverse: On the Communicative Utility of Linguistic Conventionalization. Frontiers in Communication, 5.

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Fully funded PhD in NLP, London (QMUL)
by Haim Dubossarsky 15 Dec '22

15 Dec '22

A fully funded 3.5-year PhD studentship in NLP on the topic of meaning change is offered at Queen Mary University of London (QMUL), School of Electronic Engineering and Computer Science. I am looking for brilliant candidates who hold (or about to hold) MSc in Computer Science with a strong NLP research background. Prospective students can learn more about the project here <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…>, under the section: *Next generation NLP methods for meaning change* . The PhD student will be supervised by me and co-supervised by Prof Maria Liakata, and will also be part of the Change is Key! <https://www.changeiskey.org/> international research program. For further details on the application process and eligibility criteria please read this <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> . If you are interested, please get in touch with me on: h.dubossarsky(a)qmul.ac.uk. Bests, Haim

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Call for applications: junior and senior permanent research positions in the ALMAnacH team at Inria, Paris, France
by Benoît Sagot 14 Dec '22

14 Dec '22

Dear all, The ALMAnaCH lab at Inria Paris is looking for candidates for full-time permanent researchers in natural language processing (NLP) and digital humanities (DH) to join us in the beautiful city of Paris. We welcome profiles for both junior and senior positions. A PhD and at least one post-doctoral experience in NLP or ML for NLP are required for junior positions, whereas a longer track record is required for senior positions. Inria is the French national research institute for computer science and applied mathematics. World-class research, and, where relevant, transfer to industry and start-up creation are its main missions. The ALMAnaCH lab focuses on NLP and DH, at the crossroads between theoretical computer science, machine and deep learning, and linguistics. More about ALMAnaCH: http://almanach.inria.fr/index-en.html — also, you can follow @InriaParisNLP on Twitter and Mastodon. Working at ALMAnaCH means working in a diverse and inclusive team within an exceptional scientific environment, next to other leading Inria research teams in Computer Vision, Machine Learning and more. Upon arrival, junior permanent researchers will receive a welcome package including a full PhD grant and expenses. You can find more information here: http://almanach.inria.fr/recruitment-en.html. If you are interested, please contact me by the end of the year at benoit.sagot<αt>inria.fr. All the best, Benoît Sagot Directeur de Recherches Inria Head of the ALMAnaCH team (Inria Paris research center)

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Job offer: postdoctoral researcher in Natural Language Processing, a Universidade da Coruña (Spain)
by Carlos Gómez Rodríguez 14 Dec '22

14 Dec '22

We are looking for candidates for a full-time postdoctoral researcher position at the University of A Coruña, within the research project "SALSA – efficient Syntactic Analysis for Large-scale Sentiment Analysis", funded by an ERC Proof-of-Concept Grant and led by the Prof. Carlos Gomez-Rodriguez. The main objective of the project is to apply the efficient parsers developed in the ERC Starting Grant project "FASTPARSE – Fast Natural Language Parsing for Large-Scale NLP" (https://fastparse.grupolys.org) to sentiment analysis, creating systems that can be useful for small entities without large computational resources. The selected person would join the LyS research group, one of the most active in natural language processing in Europe, and would receive a salary of € 40,880.04 gross per year. The expected start date would be February 1, 2023, and the project will end on July 31, 2024. More detailed information on the offer (nature of the job, information about the group, working conditions, requirements and instructions for applying) can be found at https://fastparse.grupolys.org/job-vacancies . The formal application deadline expires on 20th December, but for administrative reasons, applications should be sent to the PI by the 19th. Those interested are encouraged to contact the PI, Carlos Gómez-Rodríguez (cgomezr(a)udc.es) as soon as possible to apply or to ask any questions about a potential application.

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