- Corpora - ELRA lists

Postdoctoral position in LLM Alignment at Uni Würzburg
by Goran Glavaš 01 Sep '23

01 Sep '23

The Natural Language Processing Chair at JMU Würzburg (WüNLP) <https://www.informatik.uni-wuerzburg.de/nlp/wuenlp/> as a member of the Center for AI and Data Science (CAIDAS) <https://www.uni-wuerzburg.de/caidas/> offers one research position in the area of natural language processing (NLP). The position is bound to the project EQUIFAIR (Equitably Fair and Trustworthy Language Technology), funded by the Alcatel-Lucent Stiftung as part of the “Responsible AI” program. The project … [View More]

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Deadline extension: CRAC 2023: Workshop on Reference, Anaphora and Coreference at EMNLP 2023
by Maciej Ogrodniczuk 01 Sep '23

01 Sep '23

(apologies for cross-posting) Submission deadline for <https://sites.google.com/view/crac2023/> CRAC 2023, the Sixth Workshop on Computational Models of Reference, Anaphora and Coreference, held at EMNLP 2023 <https://2023.emnlp.org/> , was extended to September 15, 2023. The website has all information but here are a few highlights: ● we welcome papers on any aspect of coreference, anaphora or bridging, whether it’s annotation, analysis or resolution, intra- or cross-… [View More]

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[SUBMISSION DEADLINE EXTENDED] (ArabicNLP 2023): The 1st Arabic Natural Language Processing Conference
by amr.keleg.p＠gmail.com 01 Sep '23

01 Sep '23

*** Apologies for Cross-Posting *** The ArabicNLP 2023’s organization committee is pleased to announce the extension of the paper submission deadline by 1 week, for it to be on Tuesday the 12th of September 2023, 23:59 AOE. The First Arabic Natural Language Processing Conference (ArabicNLP 2023) is co-located with EMNLP 2023 in Singapore. Conference URL: https://arabicnlp2023.sigarab.org/ Submission URL: https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2023/Conference ArabicNLP … [View More]2023 invites the submission of original long, short, or demo papers in the area of Arabic Natural Language Processing. ArabicNLP 2023 builds on seven previous workshop editions, which have been extremely successful, drawing in a large active participation in various capacities. This conference is timely given the continued rise in research projects focusing on Arabic NLP. ArabicNLP 2023 will also feature shared tasks, allowing participants to work on specific NLP challenges related to Arabic language processing. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB), an Association for Computational Linguistics Special Interest Group on Arabic Natural Language Processing. Important Dates: * (Extended) September 12, 2023: conference papers due date * October 12, 2023: notification of acceptance * October 20, 2023: camera-ready papers due * December 7, 2023: conference day All deadlines are 11:59 pm UTC -12h (“Anywhere on Earth”). We accept long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee. Submissions are invited on topics that include, but are not limited to, the following: Enabling core technologies: language models and large language models, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. If you have any questions, please contact us at: arabicnlp-pc-chairs(a)sigarab.org What's in a name? To mark our move from a workshop to a conference, we changed our acronym from WANLP to ArabicNLP. The ArabicNLP 2023 Publicity Chairs, Amr Keleg and Salam Khalifa [View Less]

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** Deadline extended ** ICNLSP 2023, 6th International Conference on Natural Language and Speech Processing
by Mourad Abbas 01 Sep '23

01 Sep '23

*The NEW submission DEADLINE is: 09 September 2023* 6th International Conference on Natural Language and Speech Processing <http://icnlsp.org/2023welcome> We are delighted to invite you to ICNLSP 2023, which will be held virtually from December 16th to 17th, 2023. ICNLSP 2023 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing research in the field. ICNLSP … [View More]

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The US Copyright Office wants to hear what people think about AI and copyright
by heather froehlich 31 Aug '23

31 Aug '23

All (with apologies for cross-posting) The U.S. Copyright Office is conducting a study regarding the copyright issues raised by generative artificial intelligence (AI). This study will collect factual information and policy views relevant to copyright law and policy. The Office will use this information to analyze the current state of the law, identify unresolved issues, and evaluate potential areas for congressional action. Please go here to submit your comments: https://www.copyright.gov/… [View More]

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Re: RANLP 2023 Call for Participation
by Sina Ahmadi 31 Aug '23

31 Aug '23

I second Edyta's points too. I have been on this list since 2015 and since then, the mailing list's standout feature has lied in its informative capacity to circulate calls for papers and job opportunities. While occasional "discussions" have also been a breath of fresh air, the current discourse doesn't quite align with this sentiment. It would be more beneficial if the list could enhance its utility by containing intense discussions privately rather than disseminating them widely. Thanks. … [View More]Best regards, Sina Ahmadi Postdoctoral Researcher & Adjunct Lecturer Geroge Mason University http://sinaahmadi.github.io/ **On the job market! I'm seeking out new opportunities to collaborate and innovate as a researcher and lecturer (in Europe).** ________________________________ De : Daniela Cesiri via Corpora <corpora(a)list.elra.info> Envoyé : mercredi 30 août 2023 11:32 À : Edyta Jurkiewicz-Rohrbacher <edytaj(a)gmail.com> Cc : corpora(a)list.elra.info <corpora(a)list.elra.info> Objet : [Corpora-List] Re: RANLP 2023 Call for Participation Dear All, I agree with Edyta's polite remarks. I find the discussions below purely informative posts quite confusing, and I am "losing track" of the original posts to the point that I fear I might miss calls that could be relevant for my work, or miss discussions that are worth joining. Before Edyta's remarks I was even considering leaving the list because of the current situation in the list. So, I join Edyta's kind request to keep discussions as separate threads and leave call for papers/abstracts or job calls as purely informative posts. Perhaps opening a new, separate discussion thread might be an alternative option that would allow us to filter the different kinds of communications we received from the list. Best wishes to everyone, Daniela Cesiri Il Mer 30 Ago 2023, 17:15 Edyta Jurkiewicz-Rohrbacher via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> ha scritto: Dear Ada, dear all, I'm a bit concerned with what has been going with the list recently. The list, as far as I understand, serves several purposes. One of them is purely informative, where one informs the community about potentially interesting jobs, conferences etc. If I open an answer to a job advertisment, I expect it will be a question useful for the potential applicants or correction about, for example, deadlines. Another thing is to ask questions or start some discussions on various topics, either theoretical or purely practical. There I will expect people sharing their experience and opinions. What I do not find ok, is giving the feedback to purely informational posts in the way Ada does. In my opinion the discussions whether words or sentences are up-to-date concepts in any (general)linguistic or computational linguistic framework should be led in separate threads. (Notice also that the problem of text segmentation has been topic for already long time.) Summing up, I wouldn't mind if Adas comments were presented maybe privately to the authors of posts, or discussed in separate list-mails. Otherwise, we are facing chaos here. Summing up, I would be more than happy to participate, if discussions about the relation between linguistics and NLP took place, but not mixed with advertisments. I hope I did not offend anybody with this message. Best, Edyta Jurkiewicz-Rohrbacher śr., 30 sie 2023 o 16:35 Gilles Sérasset via Corpora <corpora(a)list.elra.info<mailto:corpora@list.elra.info>> napisał(a): > > Dear Ada, dear all, > > I am not a linguist but a computational scientist which is quite used to talk with (and tries to understand) linguists. I must say that I usually read your mails as thoroughly as my schedule and patience allows me to, but, to be honest, I also have a rather negative feeling when reading your “discourse”. > > In this discourse, I see facts + interpretation + rhetorics. > > [Here I take the risk of caricaturing for the sake of shortness, I hope you will understand that I have no time nor intention to really go deeply in all the intricacies of your different claims as I am more a witness than an actor of this scientific dispute] > > My understanding of your facts: Neural models do not use the concept of word in any of their tasks, but achieve very interesting results in their modelling of the language. > > My understanding of your interpretation: this is the proof that there is no such thing as a word. > > My understanding of your rhetoric: linguists are still using “words”, so they are wrong or dishonest or miseducated or dumb, we should wipe out entirely any occurence of this concept and start over with another modelling of the language. > > Please, understand that I am just presenting the way I am interpreting your different messages. And even if I am wrong here, this interpretation is to be taken into account as we are all persons with feeling. This feeling is a fact, even if I do not particularly feel targeted by your different criticisms. I hope this will help you ponder the terms involved in your next messages. > > This being said, I was not particularly surprised to see some “passionate” replies to your different messages. And I agree with everyone here, we should not go into such passion and use ad-hominem attacks on a mailing list, AND you should also understand that most of your rhetoric do contains such passion and attacks. > > > > > Concerning the facts : > > You are right, Neural models does not use any notion of word (or word morphology) as it is usually thought in linguistics as it usually first decide what is the granularity with which it will aggregate its input (sequence of characters) into tokens to which it attaches an “interpretation” (modelled as a multi-dimensional vector). > > > > > Concerning the interpretation : > > 1. You want to wipe out the notion of word based on such a fact. I would agree somehow if we were dealing with a universal modelling of language, but this is not the case. Human model language in a certain way and neural models in another way (even if neural networks are claimed to be inspired by biological neurones in our brains). The fact that a concept does not exist in a model does not entail that it does not exist in another model. > > > 2. Also, you do make the very same mistake concerning the way you look at the facts: i.e. there is no such thing as a character…, which means that the input of NN is already flown with a bias with which we look at language. Indeed characters are a very recent invention that builds on different concerns: > - usual graphical elements that are traditionally used in language writing and that has been interpreted as atomic, > - their interpretation by the encoding authorities (see the differences and debates about code points vs characters) > - arbitrary decision made (e.g. why model A and a as 2 different characters?) > Moreover, all corpora are usually badly encoded by using one character for another (quote instead of apostrophe, unbreakable character instead of a space, …) and this only accounts for languages with a writing system or transcription, i.e. not the majority of them. > > The conclusion is that even Neural Network uses artificial bias in the way they model language, which means that the conclusion we draw from them are as flawed as the one we draw from the classical way linguists look at languages. > > > 3. Most serious linguists never defined “words” lightly and most of them know that this concept is an "approximation” of something that is very difficult to apprehend and seems to be more grounded into linguistics from human introspection than linguistics from corpora. It somehow represents the way our human brain aggregates the atoms of the language (characters/phonemes) into something to which we associate an interpretation. In this sense, it is somehow the “tokens” of our biological neural network (and certainly far more). > > As an utterance production is not a bijection between whatever we have in our head and the sequential signal we use to communicate, I agree with you on the fact that “words" are certainly not present in a corpus (but I do think that our inner “tokens” may be observed somehow there). > > > Concerning the rhetoric: > > I do not think any linguist or computational linguist is naive enough to think that any of the modelling we deal with are a “truth” and I doubt any of them is miseducated enough to think that “words” are clearly defined and undoubtedly present in corpora. I do think though that they are usually right to observe occurrences (or hints) of non atomic constructs we associate with some interpretation. I also think that this way of looking to a corpus has some advantages that are not really present in NN (for instance, it can observe some regularity that will help human produce new utterances without being shown a large amount of examples). > > I also do think that even if you were totally right in your facts and interpretations, asking for a denial of current/past ways of looking to the texts will be a mistake. Even in physics, since the general theory of relativity, we know the classical mechanics is wrong, however it is still in use and it is not a problem as long as everybody know under which hypothesis it is a good enough approximation and under which hypothesis it does not work anymore. > > > > I know this message will certainly not make you think differently, but if it allows you to communicate differently with persons that still use the terms “words" or “sentences" as a simple shortcut to position their work into a shared/common understanding of the state of the art, in contexts where there is no room for better explanation (e.g. in summaries of their keynote speech), then I will have achieved something. > > Hoping this scientifical debate will continue in an appeased manner, > > Regards, > > Gilles Sérasset, > > _______________________________________________ > Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> > https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ > To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info<mailto:corpora@list.elra.info> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info<mailto:corpora-leave@list.elra.info> Nota automatica aggiunta dal sistema di posta Sostieni il futuro Dona il tuo 5x1000 al Collegio Internazionale Ca' Foscari FINANZIAMENTO DELLA RICERCA SCIENTIFICA E DELLA UNIVERSITÀ | CODICE FISCALE: 80007720271 [View Less]

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University of Leeds - 4 jobs teaching Computer Science
by Eric Atwell 31 Aug '23

31 Aug '23

School of Computing at University of Leeds is expanding our BSc, MEng, MSc and PhD research-led teaching. Our research strengths include Artifical Intelligence for language research. We offer 4 full-time ongoing (i.e. permanent) posts; if interested, you can apply separately for each post. Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 LISS1031 Online MSc AI … [View More]

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RANLP 2023 Call for Participation
by amalhaddad＠ugr.es 30 Aug '23

30 Aug '23

RANLP 2023 Call for Participation We are pleased to share the programme of the international conference 'Recent Advances in Natural Language Processing' (RANLP'2023). To view the programme, please click here https://ranlp.org/ranlp2023/index.php/main-conference-programme/ To register, please visit https://ranlp.org/ranlp2023/index.php/fees-registration/ We very much hope to welcoming you at RANLP'2023 in Varna!

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Last CfP: 7th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Dominique Brunato 30 Aug '23

30 Aug '23

[Apologies for possible cross-posting] ***************************************************************************************************** *CALL FOR PAPERS* 7th Workshop on Natural Language for Artificial Intelligence (NL4AI) at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) November 6th - 9th, 2023, Rome, Italy Website: http://sag.art.uniroma2.it/NL4AI/ http://www.aixia2023.cnr.it/ *************************************************… [View More]**************************************************** *IMPORTANT DATES* PAPER SUBMISSION DEADLINE: SEPTEMBER 11TH, 2023 Notification of paper acceptance: September 29th, 2023 Camera-ready version deadline: October 9th, 2023 Workshop (at AIxIA 2023): November 6th - 9th, 2023 ***************************************************************************************************** *INTRODUCTION* The goal of the NL4AI workshop is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities rise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. *TOPICS OF INTEREST* We invite papers that pertain to the workshop theme including, but not limited, to: * NLP and AI Applications (health, legal domain, social media and journalism, etc.) * Natural Language Interfaces for Human Robot Interaction * Resources and Evaluation * Discourse and Pragmatics * Natural Language Generation * Information extraction in AI applications * Machine Learning for NLP * Sentiment analysis and Opinion mining * Natural Language Inference * NLP and Industrial Challenges * Semantics * Conversational Agents in Human-Computer Interaction * Cognitive modeling and psycholinguistics * Language and other Multimodality * Speech and Spoken language processing * Ethics and NLP * Interpretability, Explainability and Analysis of Models for NLP * Abusive Language Detection and Analysis * Machine Translation and Multilinguality * Question Answering * Summarization * NLP for Fact Checking, Fake News Detection and Analysis * LLMs and Applications * Multimodal (text-image) data sources Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. *HOW TO SUBMIT* We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are also welcomed. We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (http://ceur-ws.org/Vol-XXX/CEURART.zip). Short/Demo papers: The maximum length is 6 pages (plus up to 2 pages of references). Long papers: The maximum length is 12 pages (plus up to 2 pages of references). Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair at: https://easychair.org/conferences/?conf=nl4ai2023 *WORKSHOP ORGANIZERS* Elisa Bassignana, IT University of Copenhagen, Denmark Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy Marco Polignano, University of Bari Aldo Moro, Italy Alan Ramponi, Fondazione Bruno Kessler, Italy [View Less]

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Final CFP + Deadline Extension: Computational Approaches to Historical Language Change 2023 (LChange’23)
by Syrielle Montariol 30 Aug '23

30 Aug '23

****Apologies for possible cross-posting **** Dear all, We are happy to remind you that there will be a full-day workshop on *computational approaches to historical language change (LChange’23)* co-located with EMNLP (December 6-10, 2023). This is the *last Call for Papers*. You can find the details below. New elements to note: 1. *We're extending the submission deadline by one week, until September 8th!* 2. After the success of last year, we're re-opening the LChange Student … [View More]Mentoring sessions! Interested students should send us a one-page research statement in relation to the topics of this workshop, and we will pair them with a senior researcher. This is not limited to authors who submit a paper to the workshop. Application deadline: October 10th 3. Via our sponsor, Iguanodon.ai, we can offer one free registration for a PhD student! More details below. Application deadline: October 10th. 4. Papers already submitted to EMNLP'23 can enter our fast-track submission process. You need to provide us with the reviews and your OpenReview paper ID. Submission deadline: October 8th. ============================================== 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23) ============================================== Website: https://www.changeiskey.org/event/2023-emnlp-lchange/ Date: Dec 6, 2023 Location: Singapore and online Contact email: lchange2023(a)changeiskey.org LChange'23 is the fourth workshop for computational approaches to historical language change with a focus on digital text corpora. Come join us for this exciting adventure! The workshop builds upon its first iteration in 2019 ( https://languagechange.org/events/2019-acl-lcworkshop/), and the subsequent events (2021, 2022). LChange'19 resulted in a book on Computational approaches to semantic change (https://langsci-press.org/catalog/book/303). This year, LChange will be colocated with EMNLP 2023 in Singapore, as a hybrid event. The workshop will take place on Wednesday 6 December 2023. We hope to make this fourth edition another resounding success! ==Important Dates== September 1, 2023: *Paper submission EXTENDED TO SEPTEMBER 8, 2023* October 6, 2023: Notification of acceptance October 18, 2023: Camera-ready papers due December 6, 2023: Workshop date ==Submissions== URL for submissions: https://openreview.net/group?id=EMNLP/2023/Workshop/LChange We accept two types of submissions, long and short papers, following the EMNLP 2023 style <https://2023.emnlp.org/calls/style-and-formatting/> (you can also directly use the Overleaf template <https://www.overleaf.com/latex/templates/instructions-for-emnlp-2023-procee…>), and the ACL submission policy <https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio…> . Long and short papers may consist of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. LChange’23 also welcomes papers focusing on releasing a dataset or a model; these papers fall into the short paper category. To encourage model and dataset sharing at the reviewing phase, model and dataset papers do not need to be anonymous. Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. ==Sponsor== We gratefully acknowledge the contribution of iguanodon.ai as gold sponsor. Registration sponsorship: Thanks to iguanodon.ai, we are sponsoring the registration fees for the EMNLP conference, including the yearly ACL membership fee, for several students and early-career researchers. We therefore would like to invite interested candidates to apply by email, by October 10th 23:59 CEST, to syrielle.montariol(a)gmail.com with the following information: - Short CV - 500-word abstract about current research - Whether it would be your first xACL event - Whether you have an accepted paper at EMNLP 2023 (including workshops) - Confirmation of your “student” status if you are one We particularly encourage sponsorship applications from diverse backgrounds and underrepresented groups in the NLP community. ==Workshop Topics== This workshop explores state-of-the-art computational methodologies, theories, and digital text resources to explore the time-varying nature of human language. The aim of this workshop is three-fold. First, we want to provide pioneering researchers who work on computational methods, evaluation, and large-scale modeling of language change an outlet for disseminating cutting-edge research on topics concerning language change. We want to utilize this workshop as a platform for sharing state-of-the-art research progress in this fundamental domain of natural language research. Second, in doing so we want to bring together domain experts across disciplines by connecting researchers in historical linguistics with those who develop and test computational methods for detecting semantic change and laws of semantic change; and those who need knowledge (of the occurrence and shape) of language change, for example, in digital humanities and computational social sciences where text mining is applied to diachronic corpora subject to e.g., lexical semantic change. Third, the detection and modeling of language change using diachronic text and text mining raise fundamental theoretical and methodological challenges for future research. Besides these goals, this workshop will also support discussion on the evaluation of computational methodologies for uncovering language change. SemEval2020 Task1 on unsupervised detection of lexical semantic change attracted three-figure submission numbers and a total of 21 submitted system papers. Since then, three more tasks have been completed in Italian, Russian, and Spanish. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language ==Keynote Talks== Mario Giulianelli, Institute for Logic, Language and Computation of the University of Amsterdam ==Contact== Contact us if you have any questions: lchange2023(a)changeiskey.org If you have published in the field previously, and are interested in helping out in the PC to review papers, send us an email. Organizers: Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti. ==Anti-Harassment Policy== Our workshop highly values the open exchange of ideas, freedom of thought and expression, and respectful scientific debate. We support and uphold the ACL Anti-Harassment policy <https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>, and any workshop participant should feel free to contact any of the workshop organizers or ACL (acl(a)aclweb.org), in case of any issues. [View Less]

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Corpora