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[Corpora-List]Call for Paper: TextGraphs 2022 - 16th Workshop on Graph-based Natural Language Processing
by Yanjun Gao 28 Jun '22

28 Jun '22

(Apologize for cross-posting) Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs) Venue: COLING 2022 Location: Gyeongju, Republic of Korea Date: October 16, 2022 Papers Due: July 11, 2022 (Monday) Submission Site: https://www.softconf.com/coling2022/TextGraphs-16/ Workshop Website: https://sites.google.com/view/textgraphs2022 Workshop Description For the past sixteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. The sixteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) integration and joint training and use of transformer-based models for graphs and text (such as Graph-BERT and BERT), and (2) domain-specific natural language inference. Related to the former point, we would like to advance the state-of-the-art natural language understanding facilitated with large-scale language models like GPT-3 and linguistic relationships represented by graph neural networks. Related to the latter point, we are interested in addressing a challenging task contributing to mathematical proof discovery. Furthermore, we also encourage research on applications of graph-based methods in knowledge graphs to link them to related NLP problems and applications. TextGraphs-16 invites submissions on (but not limited to) the following topics * Graph-based and graph-supported machine learning methods: Graph embeddings and their combinations with text embeddings; Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks); Probabilistic graphical models and structure learning methods * Graph-based methods for Information Retrieval and Extraction: Graph-based methods for word sense disambiguation; Graph-based strategies for semantic relation identification; Encoding semantic distances in graphs; Graph-based techniques for text summarization, simplification, and paraphrasing; Graph-based techniques for document navigation and visualization * New graph-based methods for NLP applications: Random walk methods in graphs; Semi-supervised graph-based methods * Graph-based methods for applications on social networks * Graph-based methods for NLP and Semantic Web: Representation learning methods for knowledge graphs; Using graphs-based methods to populate ontologies using textual data Important dates * Papers Due: July 11, 2022 (Monday) * Notification of Acceptance: August 22, 2022 (Monday) * Camera-ready papers due: September 5, 2022 (Monday) * Conference date: October 12-17, 2022 * Shared task: TBD Submission * We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. * The COLING 2022 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Download the Word and LaTeX templates here: https://coling2022.org/Cpapers<https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FCpapers&sa=D&sn…>. * Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site. Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369<https://www.google.com/url?q=https%3A%2F%2Fwww.facebook.com%2Fgroups%2F9007…>. Organizers * Dmitry Ustalov, Yandex * Yanjun Gao, University of Wisconsin-Madison * Abhik Jana, University of Hamburg * Thien Huu Nguyen, University of Oregon * Gerald Penn, University of Toronto * Arti Ramesh, Binghamton University * Alexander Panchenko, Skolkovo Institute of Science and Technology (Skoltech) * Mokanarangan Thayaparan, University of Manchester & Idiap Research Institute * Marco Valentino, University of Manchester & Idiap Research Institute -- Yanjun Gao, Ph.D. Computer Science and Engineering Postdoctoral Research Associate, ICU Data Science Lab Department of Medicine School of Medicine and Public Health University of Wisconsin-Madison https://serenayj.github.io/

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[Corpora-List]Final Call for Papers: The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022)
by jackh＠allenai.org 28 Jun '22

28 Jun '22

The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022, Co-located with EMNLP 2022) Website: https://conll.org/ SIGNLL invites submissions to the 26th Conference on Computational Natural Language Learning (CoNLL 2022). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include: - Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP - Models of first, second and bilingual language acquisition by humans - Models of language evolution and change - Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments - Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods - Data resources, techniques and tools for scientifically-oriented research in computational linguistics - Connections between computational models and formal languages or linguistic theories - Linguistic typology, translation, and other multilingual work - Theoretically, cognitively and scientifically motivated approaches to text generation We welcome work targeting any aspect of language, including: - Speech and phonology - Syntax and morphology - Lexical, compositional and discourse semantics - Dialogue and interactive language use - Sociolinguistics - Multimodal and grounded language learning We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submitted papers must be anonymous and use the EMNLP 2022 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed, according to the EMNLP 2022 guidelines. Please refer to the EMNLP 2022 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system. Note that, unlike EMNLP, we do not mandate that papers have a section discussion limitations of the work. However, we strongly encourage authors have such a section in the appendix. CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2022 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2022. Multiple submission policy CoNLL 2022 will not accept papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere as well as papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2022 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. CoNLL 2022 has the same policy as EMNLP 2022 regarding ARR submissions. This means that CoNLL 2022 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline. We follow the EMNLP policy for papers that were previously submitted to ARR, or significantly overlap (>25%) with such submissions. Important Dates Anonymity period begins: May 30th, 2022 Submission deadline for START direct submissions: Thursday June 30th, 2022 Commitment deadline for ARR papers: August 1st, 2022 Notification of acceptance: Mid-September, 2022 Camera ready papers due: October 15th, 2022 Conference: December 7th, 8th, 2022 All deadlines are at 11:59pm UTC-12h ("anywhere on earth").

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WMT 2022 Quality Estimation Shared Tasks, Call for Participation
by Chrysoula Zerva 28 Jun '22

28 Jun '22

Dear all, we invite you to participate in this year's WMT shared tasks on Quality Estimation, where the goal is to predict the translation quality based on just the source and translation text. This year we introduce the following new elements: - Updated quality annotation scheme: the majority of the tasks uses Multidimensional Quality Metrics (MQM) instead of direct assessments (DA); - QE as a Metric: we share part of the data used in this year's Metrics task, to promote research that bridges the two domains; - New language pairs: English-Marathi, with sentence level and word level annotations (direct assessments) and a _surprise_ language pair in the testing phase; - An explainability subtask, following up on the 1st edition of Eval4NLP shared task; - Updated data and task definition for the critical error detection task. ## Tasks description Task 1 -- Quality prediction - Word-level: predict the translation errors, assigning OK/BAD tags to each word of the target. - Sentence-level: predict the quality score for each source-target sentence pair. Task 2 -- Explainable QE Infer translation errors as an explanation for sentence-level quality scores. Task 3 -- Critical Error Detection Predict sentence-level binary scores indicating whether or not a translation contains a critical error. Links to the data on the QE shared task website: https://wmt-qe-task.github.io/ ## Important dates: - Release of training data: 30 May - Release of dev data: TBA - Release of test data: 21 July - Test predictions deadline: 16 August - System description paper: 18 August - Conference: 7-8 December To ask questions and receive the latest announcements, join our Google Group: https://groups.google.com/g/wmt-qe-shared-task/ Best, The organisers.

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[Corpora-List]Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs 2022)
by Yanjun Gao 28 Jun '22

28 Jun '22

Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs) Venue: COLING 2022 Location: Gyeongju, Republic of Korea Date: October 16, 2022 Papers Due: July 11, 2022 (Monday) Workshop Description For the past sixteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. The sixteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) integration and joint training and use of transformer-based models for graphs and text (such as Graph-BERT and BERT), and (2) domain-specific natural language inference. Related to the former point, we would like to advance the state-of-the-art natural language understanding facilitated with large-scale language models like GPT-3 and linguistic relationships represented by graph neural networks. Related to the latter point, we are interested in addressing a challenging task contributing to mathematical proof discovery. Furthermore, we also encourage research on applications of graph-based methods in knowledge graphs to link them to related NLP problems and applications. TextGraphs-16 invites submissions on (but not limited to) the following topics * Graph-based and graph-supported machine learning methods: Graph embeddings and their combinations with text embeddings; Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks); Probabilistic graphical models and structure learning methods * Graph-based methods for Information Retrieval and Extraction: Graph-based methods for word sense disambiguation; Graph-based strategies for semantic relation identification; Encoding semantic distances in graphs; Graph-based techniques for text summarization, simplification, and paraphrasing; Graph-based techniques for document navigation and visualization * New graph-based methods for NLP applications: Random walk methods in graphs; Semi-supervised graph-based methods * Graph-based methods for applications on social networks * Graph-based methods for NLP and Semantic Web: Representation learning methods for knowledge graphs; Using graphs-based methods to populate ontologies using textual data Important dates * Papers Due: July 11, 2022 (Monday) * Notification of Acceptance: August 22, 2022 (Monday) * Camera-ready papers due: September 5, 2022 (Monday) * Conference date: October 12-17, 2022 * Shared task: TBD Submission * We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. * The COLING 2022 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Download the Word and LaTeX templates here: https://coling2022.org/Cpapers<https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FCpapers&sa=D&sn…>. * Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site. Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369<https://www.google.com/url?q=https%3A%2F%2Fwww.facebook.com%2Fgroups%2F9007…>. Organizers * Dmitry Ustalov, Yandex * Yanjun Gao, University of Wisconsin-Madison * Abhik Jana, University of Hamburg * Thien Huu Nguyen, University of Oregon * Gerald Penn, University of Toronto * Arti Ramesh, Binghamton University * Alexander Panchenko, Skolkovo Institute of Science and Technology (Skoltech) * Mokanarangan Thayaparan, University of Manchester & Idiap Research Institute * Marco Valentino, University of Manchester & Idiap Research Institute -- Yanjun Gao, Ph.D. Computer Science and Engineering Postdoctoral Research Associate, ICU Data Science Lab Department of Medicine School of Medicine and Public Health University of Wisconsin-Madison https://serenayj.github.io/

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[Corpora-List]3rd CFP and deadline extension: CL for Political Text Analysis (CPSS)
by Ines Rehbein 28 Jun '22

28 Jun '22

Call for Papers: 3rd Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2022) https://gscl.org/en/arbeitskreise/cpss/cpss-2022/cfp-2022 * Workshop description * Recent years have seen more and more applications of computational methods to the analysis of political texts. This has led to the emergence of different communities (one with a background in political / social science and the other in the areas of NLP/computer science) which struggle to get awareness of the relevant work taking place in the respective other community. The main goal of this workshop is to bridge this gap and bring together researchers and ideas from the different communities, to foster collaboration and catalyze further interdisciplinary research efforts. *Keynote* by David Jurgens https://jurgens.people.si.umich.edu/ * Important Dates * Workshop papers due: **10.07.2022** (extended) Notification of acceptance: 10.08.2022 Camera-ready papers due: 01.09.2022 Workshop date: 12.09.2022 * Submissions * We welcome submissions of long and short papers, posters, and demonstrations relating to any aspect of Political Text Analysis using computational methods. Our workshop will accept two types of submissions: * archival papers describing original and unpublished work * non-archival papers (abstracts) that present already published research or ongoing work. The availability of both submission formats will meet the different needs of researchers from different communities, allowing them to come together and exchange ideas in an "get to know each other" environment which is likely to foster future collaborations. * Special Theme and Panel * The workshop will host a panel with invited speakers from the different communities, with a focus on theory-driven modelling of complex political or socio-psychological constructs in text, such as populism, polarisation or political cynicism. The panel will discuss challenges for modelling such multifaceted concepts from a theoretical as well as from a machine learning point of view, and how such models can be evaluated in a meaningful way. For more information, please refer to the workshop website: gscl.org/en/arbeitskreise/cpss/cpss-2022 If you have any questions, please feel free to contact the program co-chairs: ines(a)informatik.uni-mannheim.de * Organisers * * Ines Rehbein (U-Mannheim) * Christopher Klamm (U-Mannheim) * Gabriella Lapesa (U-Stuttgart) * Simone Ponzetto (U-Mannheim) -- Ines Rehbein Data and Web Science Group University of Mannheim, Germany

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[Corpora-List]Translation in Transition 6: Call for participation
by Michal Křen 27 Jun '22

27 Jun '22

[apologies for cross-posting] Dear colleagues, we would like to invite you to take part in the Translation in Transition conference that will be held in Prague on 22-23 September 2022. The conference will be held in hybrid form, which means that you can choose between online and in-person participation. The registration is still open for non-presenting participants: https://tt2022.ff.cuni.cz/registration/ Please find more details in the newly released Call for participation: https://tt2022.ff.cuni.cz/calls-and-circulars/call-for-participation/ Regards, Michal Křen (on behalf of the organizing committee)

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[Corpora-List]2nd CfP: Onto4FAIR Workshop at SEMANTICS 2022 (deadline extension)
by Cassia 27 Jun '22

27 Jun '22

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 -------------- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -------------- Important dates -------------- - **July 04, 2022 (11:59 pm, Hawaii time)**: Submission deadline (extension) - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -------------- Presentation -------------- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Submissions -------------- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair ( https://easychair.org/conferences/submissions?a=28690100). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -------------- Program Committee -------------- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano

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Deadline approaching: Open Position in Online Toxicity Mitigation at Heriot-Watt University, Edinburgh
by Abercrombie, Gavin 27 Jun '22

27 Jun '22

* Title: Research Associate in Online Toxicity Mitigation * Location: Heriot-Watt University, Edinburgh, UK * Duration: full-time position, 12-36 months * Deadline: 22 July 2022 * Contact: Prof. Verena Rieser [v.t.rieser(a)hw.ac.uk] This is an exciting opportunity to work within multi-disciplinary team to develop novel toxicity mitigation techniques for a project funded by the UK Research Council to detect and mitigate online Gender Based Violence (GBV). You will be closely collaborating with teams of researchers working in NLP, Social Science and Education. The project is hosted at the Interaction Lab (http://www.macs.hw.ac.uk/InteractionLab), one of the biggest research groups in Conversational AI, and is in collaboration with the University of Edinburgh and third sector charities specialising in online abuse and GBV. We are looking for candidates with a PhD and expertise in neural approaches to natural language generation, or closely related fields, and with a proven publication track record in ACL* venues etc. To apply, please follow the instructions here: https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/j… ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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[Corpora-List]LxGr2022: Programme and Call for Participation
by Costas Gabrielatos 27 Jun '22

27 Jun '22

Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Programme and Call for Participation Registration closes on Thursday 7 July, 10am (BST). The symposium will take place online on Friday 8 & Saturday 9 July 2022. Programme & Registration: https://ehu.ac.uk/lxgr Abstracts: https://www.academia.edu/82101749 and https://www.researchgate.net/publication/361490343 For more information, contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[Corpora-List]Rome Workshop on 10 Years of BabelNet and Multilingual Neurosymbolic NLU
by Roberto Navigli 27 Jun '22

27 Jun '22

It is my pleasure to invite you all to the Workshop on 10 Years of BabelNet and Multilingual Neurosymbolic NLU <http://mousse-project.org/events/event-a5f3r5.html> which will take place in *Rome*, at *Sapienza*, Department of Computer, Control and Management Engineering (DIAG), on *4-5 July*. The workshop includes a *slate of invited speakers *who will participate in person, including in Dagstuhl-like brainstorming sessions, and is *open online to all interested attendees* (sign up here <https://docs.google.com/forms/d/e/1FAIpQLSc5yVnaxXsT5t63_peEvZOTw3CyY-oIPEz…>). We will celebrate the most far-reaching and novel multilingual dictionary and knowledge base, BabelNet <https://babelnet.org>, a popular resource currently used by* more than 1000 universities and research institutions*, and discuss the future of neurosymbolic approaches to multilingual Natural Language Understanding. BabelNet is an output of the Sapienza NLP <https://nlp.uniroma1.it> Group and two ERC projects acknowledged among the 15 projects through which the ERC "transformed science" <https://erc.europa.eu/how-ERC-transformed-science/stories.html>, but it also led to the creation of a spinoff company, Babelscape <https://babelscape.com>, that is one of the most successful in the Sapienza startup portfolio. Notably, besides the ERC and Babelscape, this event is also co-sponsored by Accademia della Crusca <https://accademiadellacrusca.it/> (the oldest linguistic academy in the world), the Artificial Intelligence Journal <https://www.journals.elsevier.com/artificial-intelligence> and the European Language Grid <https://www.european-language-grid.eu/>. A *new updated version of BabelNet will be available* in conjunction with the event together with the *brand-new Python API* (available on PyPi <https://pypi.org/project/babelnet/>)! A smartphone app is also available on Android and iPhone. Enjoy! -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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