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Postdoc in NLP/ML at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: Postdoctoral Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 (possible option: E-14) Contract: 100%, two years, renewal is possible Start Date: September 1st, 2024 Responsibilities: Conduct independent research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise PhD students Teach Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: PhD in NLP or a related field Strong publication record in top-tier NLP conferences and journals Expertise in one or more NLP techniques, such as machine translation, natural language understanding, or natural language generation Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Not required, but a big plus: teaching experience, supervising experience Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences Opportunity to teach and mentor students About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented postdoctoral researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. The postdoc position will involve work on low-resource languages in both machine translation and multilingual language models. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named postdoc_lastname_firstname.pdf (e.g., postdoc_fraser_alexander.pdf). Please send the PDF (or any questions) to Dr. Lukas Edman at: lukas(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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PhD Student Researcher in NLP at Technical University of Munich
by Alexander Fraser 16 May '24

16 May '24

Job Title: PhD Student Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 Contract: 100%, three years Start Date: September 1st, 2024 Responsibilities: Conduct research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise Bachelors and Masters students Assist teaching Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: Masters in NLP, Computer Science or a related field Projects in NLP or machine learning Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest) Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The new Fraser NLP lab at TUM is seeking a highly motivated and talented phd student / researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the future) in Heilbronn, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. For the PhD student position, two possible research foci are: machine translation of metaphors and machine translation of low-resource languages. To Apply: Please submit a brief application letter, your CV, a research statement, contact information for two references, and a list of publications in a single PDF named phd_lastname_firstname.pdf (e.g., phd_fraser_alexander.pdf). Please send the PDF (or any questions) to Wen Lai at: lavine(a)cis.lmu.de Deadline: Applications will be accepted on a rolling basis. We encourage you to apply early. -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io

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May 2024 Newsletter - LDC
by Penn LDC 15 May '24

15 May '24

In this newsletter: LDC at LREC-COLING 2024 New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> ________________________________ LDC at LREC-COLING 2024 LDC will be exhibiting at LREC-COLING 2024<https://lrec-coling-2024.org/> hosted by the European Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL) May 20-25 in Turin, Italy. Stop by our table to learn more about recent developments at the Consortium and the latest publications. LDC staff members will also be presenting current work on topics including Spanless Event Annotation for Corpus-Wide Complex Event Understanding; Schema Learning Corpus: Data and Annotation Focused on Complex Events; and KoFREN: Comprehensive Korean Word Frequency Norms Derived from Large Scale Free Speech Corpora. LDC will post conference updates via social media. We look forward to seeing you in Italy! ________________________________ New publications: Call My Net 1<https://catalog.ldc.upenn.edu/LDC2024S05> was developed by LDC and contains 364 hours of conversational telephone speech in four languages (Tagalog, Cebuano, Cantonese, and Mandarin) collected in 2015 from 221 native speakers located in the Philippines and China along with metadata and speaker demographic information. Recordings and data from this collection were used to support the NIST 2016 Speaker Recognition Evaluation<https://www.nist.gov/itl/iad/mig/speaker-recognition-evaluation-2016>. Speakers made 10 telephone calls each to people within their existing social networks, using different handsets and under a variety of noise conditions. Speakers were connected through a robot operator to carry on casual conversations on topics of their choice. All recordings were manually audited to confirm language and speaker requirements. The documentation for this release includes metadata about phone type, noise conditions, and call quality. Speaker demographic information on year of birth, sex, and native language is also included. 2024 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * Automatic Content Extraction for Portuguese<https://catalog.ldc.upenn.edu/LDC2024T05> was developed at INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência<https://www.inesctec.pt/en> and consists of automatic Brazilian Portuguese and European Portuguese translations of the English text and annotations in ACE 2005 Multilingual Training Corpus (LDC2006T06)<https://catalog.ldc.upenn.edu/LDC2006T06>. ACE 2005 Multilingual Training Corpus was developed by LDC to support the Automatic Contract Extraction (ACE)<https://www.ldc.upenn.edu/collaborations/past-projects/ace> program, specifically, by providing training data for the 2005 technology evaluation. It contains 1,800 files of mixed genre text in Arabic, English, and Chinese annotated for entities, relations, and events. The objective of the ACE program was to develop automatic content extraction technology to support automatic processing of human language in text form. Text genres included newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. For this translation, the English data was partitioned into training, development, and test sets. The documents were split into sentences and each event mention was assigned to its sentence. Source sentences and their annotations were translated into Brazilian Portuguese using Google Translate<https://translate.google.com/> and into European Portuguese using DeepL Translate<https://www.deepl.com/en/translator>. An alignment algorithm and a parallel corpus word aligner were used to handle mismatches between translated annotations and their translated sentences. 2024 members can access this corpus through their LDC account. 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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[PAN'24 - Oppositional Thinking Analysis] Test set and submission instructions released
by Francisco Manuel Rangel Pardo 15 May '24

15 May '24

Event Notification Type: Test set and submission instructions released. Website: https://pan.webis.de/clef24/pan24-web/oppositional-thinking-analysis.html#s… *TEST SET AND INSTRUCTIONS RELEASED* *Oppositional Thinking Analysis PAN@CLEF* Dear all, As announced, we are excited to communicate that the test set for the evaluation phase together with the instructions on how to participate are released and can be consulted on the shared task website: https://pan.webis.de/clef24/pan24-web/oppositional-thinking-analysis.html#s… Please, find below some important dates to keep in mind: - February 23rd, 2024: Training Set Release - May 15th, 2024: Test Set Release - May 30th, 2024: Submission Deadline - June 15th, 2024: Participant paper submission Midnight CEST - July 1st, 2024: Peer review notification - July 7th, 2024: Camera-ready participant papers submission Midnight CEST Once again, thank you for your interest and support. If you have any questions or need assistance at any point during the campaign, please feel free to reach out to us. Warm regards, Francisco Rangel on behalf of the Oppositional Thinking Analysis Task Committee

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Universal Dependencies, release 2.14
by Dan Zeman 15 May '24

15 May '24

We are very happy to announce the twentieth release of annotated treebanks in Universal Dependencies, v2.14, available at https://universaldependencies.org/. Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages with the goal of facilitating multilingual parser development, cross-lingual learning, and parsing research from a language typology perspective (de Marneffe et al., 2021; Nivre et al., 2020). The annotation scheme is based on (universal) Stanford dependencies (de Marneffe et al., 2006, 2008, 2014), Google universal part-of-speech tags (Petrov et al., 2012), and the Interset interlingua for morphosyntactic tagsets (Zeman, 2008). The general philosophy is to provide a universal inventory of categories and guidelines to facilitate consistent annotation of similar constructions across languages, while allowing language-specific extensions when necessary. The *283* treebanks in v2.14 are annotated according to version 2 of the UD guidelines and represent the following *161* languages: Abaza, Abkhaz, Afrikaans, Akkadian, Akuntsu, Albanian, Amharic, Ancient Greek, Ancient Hebrew, Apurina, Arabic, Armenian, Assyrian, Azerbaijani, Bambara, Basque, Bavarian, Beja, Belarusian, Bengali, Bhojpuri, Bororo, Breton, Bulgarian, Buryat, Cantonese, Cappadocian, Catalan, Cebuano, Chinese, Chukchi, Classical Armenian, Classical Chinese, Coptic, Croatian, Czech, Danish, Dutch, Egyptian, English, Erzya, Estonian, Faroese, Finnish, French, Frisian Dutch, Galician, Georgian, German, Gheg, Gothic, Greek, Guajajara, Guarani, Gujarati, Haitian Creole, Hausa, Hebrew, Highland Puebla Nahuatl, Hindi, Hittite, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kaapor, Kangri, Karelian, Karo, Kazakh, Khunsari, Kiche, Komi Permyak, Komi Zyrian, Korean, Kurmanji, Kyrgyz, Latgalian, Latin, Latvian, Ligurian, Lithuanian, Livvi, Low Saxon, Luxembourgish, Macedonian, Madi, Maghrebi Arabic French, Makurap, Malayalam, Maltese, Manx, Marathi, Mbya Guarani, Middle French, Moksha, Munduruku, Naija, Nayini, Neapolitan, Nheengatu, North Sami, Norwegian, Old Church Slavonic, Old East Slavic, Old French, Old Irish, Old Turkish, Ottoman Turkish, Paumari, Persian, Polish, Pomak, Portuguese, Romanian, Russian, Sanskrit, Scottish Gaelic, Serbian, Sinhala, Skolt Sami, Slovak, Slovenian, Soi, South Levantine Arabic, Spanish, Swedish, Swedish Sign Language, Swiss German, Tagalog, Tamil, Tatar, Teko, Telugu, Telugu English, Thai, Tswana, Tupinamba, Turkish, Turkish German, Ukrainian, Umbrian, Upper Sorbian, Urdu, Uyghur, Veps, Vietnamese, Warlpiri, Welsh, Western Armenian, Western Sierra Puebla Nahuatl, Wolof, Xavante, Xibe, Yakut, Yoruba, Yupik and Zaar. The 161 languages belong to *31* families: Afro-Asiatic, Arawakan, Arawan, Austro-Asiatic, Austronesian, Basque, Bororoan, Chukotko-Kamchatkan, Code switching, Creole, Dravidian, Eskimo-Aleut, Indo-European, Japanese, Kartvelian, Korean, Macro-Je, Mande, Mayan, Mongolic, Niger-Congo, Northwest Caucasian, Pama-Nyungan, Sign Language, Sino-Tibetan, Tai-Kadai, Tungusic, Tupian, Turkic, Uralic and Uto-Aztecan. Depending on the language, the treebanks range in size from less than 1,000 tokens to over 3 million tokens. We expect the next release to be available in November 2024. The size of the following 39 treebanks changed significantly since the last release: Abkhaz AbNC : 0 → 2444 Azerbaijani TueCL : 0 → 656 Bavarian MaiBaam : 0 → 15024 Beja NSC : 1206 → 5888 Bororo BDT : 1905 → 6993 Cappadocian TueCL : 0 → 4118 Classical Armenian CAVaL: 13522 → 81996 Classical Chinese TueCL : 0 → 648 Dutch LassySmall : 98241 → 297486 Egyptian UJaen : 0 → 5515 English CTeTex : 0 → 9273 English GUM : 187522 → 212035 Galician PUD : 0 → 23510 Gujarati GujTB : 0 → 1885 Hausa NorthernAutogramm : 0 → 3919 Hausa SouthernAutogramm : 0 → 14585 Italian Old : 41367 → 82644 Kyrgyz TueCL : 0 → 1001 Latgalian Cairo : 0 → 173 Latin CIRCSE : 0 → 18968 Latvian Cairo : 0 → 171 Low Saxon LSDC : 4683 → 22639 Luxembourgish LuxBank : 0 → 206 Nheengatu CompLin : 12743 → 15036 Old East Slavic RNC : 48647 → 95551 Old Turkish Clausal : 0 → 158 Old Turkish Tonqq : 158 → 0 Ottoman Turkish BOUN : 0 → 8814 Ottoman Turkish DUDU : 0 → 813 Paumari TueCL : 0 → 504 Pomak Philotis : 86780 → 34348 Romanian TueCL : 0 → 4417 Sanskrit Vedic : 27117 → 206440 Slovenian SST : 29488 → 76341 Spanish COSER : 0 → 8073 Telugu English TECT : 0 → 456 Tswana Popapolelo : 0 → 214 Vietnamese TueCL : 0 → 1888 Zaar Autogramm : 7625 → 17682 In total, the new release contains *1,906,050* sentences, 31,541,523 surface tokens and *32,179,731* syntactic words. Daniel Zeman, Joakim Nivre, Mitchell Abrams, Elia Ackermann, Noëmi Aepli, Hamid Aghaei, Željko Agić, Amir Ahmadi, Lars Ahrenberg, Chika Kennedy Ajede, Salih Furkan Akkurt, Gabrielė Aleksandravičiūtė, Ika Alfina, Avner Algom, Khalid Alnajjar, Chiara Alzetta, Erik Andersen, Lene Antonsen, Tatsuya Aoyama, Katya Aplonova, Angelina Aquino, Carolina Aragon, Glyd Aranes, Maria Jesus Aranzabe, Bilge Nas Arıcan, Þórunn Arnardóttir, Gashaw Arutie, Jessica Naraiswari Arwidarasti, Masayuki Asahara, Katla Ásgeirsdóttir, Deniz Baran Aslan, Cengiz Asmazoğlu, Luma Ateyah, Furkan Atmaca, Mohammed Attia, Aitziber Atutxa, Liesbeth Augustinus, Mariana Avelãs, Elena Badmaeva, Keerthana Balasubramani, Miguel Ballesteros, Esha Banerjee, Sebastian Bank, Verginica Barbu Mititelu, Starkaður Barkarson, Rodolfo Basile, Victoria Basmov, Colin Batchelor, John Bauer, Seyyit Talha Bedir, Shabnam Behzad, Juan Belieni, Kepa Bengoetxea, İbrahim Benli, Yifat Ben Moshe, Ansu Berg, Gözde Berk, Riyaz Ahmad Bhat, Erica Biagetti, Eckhard Bick, Agnė Bielinskienė, Esma Fatıma Bilgin Taşdemir, Kristín Bjarnadóttir, Verena Blaschke, Rogier Blokland, Victoria Bobicev, Loïc Boizou, Johnatan Bonilla, Emanuel Borges Völker, Carl Börstell, Cristina Bosco, Gosse Bouma, Sam Bowman, Adriane Boyd, Anouck Braggaar, António Branco, Kristina Brokaitė, Aljoscha Burchardt, Marisa Campos, Marie Candito, Bernard Caron, Gauthier Caron, Catarina Carvalheiro, Rita Carvalho, Lauren Cassidy, Maria Clara Castro, Sérgio Castro, Tatiana Cavalcanti, Gülşen Cebiroğlu Eryiğit, Flavio Massimiliano Cecchini, Giuseppe G. A. Celano, Slavomír Čéplö, Neslihan Cesur, Savas Cetin, Özlem Çetinoğlu, Fabricio Chalub, Liyanage Chamila, Shweta Chauhan, Yifei Chen, Ethan Chi, Taishi Chika, Yongseok Cho, Jinho Choi, Bermet Chontaeva, Jayeol Chun, Juyeon Chung, Alessandra T. Cignarella, Silvie Cinková, Aurélie Collomb, Çağrı Çöltekin, Miriam Connor, Claudia Corbetta, Daniela Corbetta, Francisco Costa, Marine Courtin, Benoît Crabbé, Mihaela Cristescu, Vladimir Cvetkoski, Ingerid Løyning Dale, Philemon Daniel, Elizabeth Davidson, Leonel Figueiredo de Alencar, Mathieu Dehouck, Martina de Laurentiis, Marie-Catherine de Marneffe, Valeria de Paiva, Mehmet Oguz Derin, Elvis de Souza, Arantza Diaz de Ilarraza, Roberto Antonio Díaz Hernández, Carly Dickerson, Arawinda Dinakaramani, Elisa Di Nuovo, Bamba Dione, Peter Dirix, Hoa Do, Kaja Dobrovoljc, Caroline Döhmer, Adrian Doyle, Timothy Dozat, Kira Droganova, Magali Sanches Duran, Puneet Dwivedi, Christian Ebert, Hanne Eckhoff, Masaki Eguchi, Sandra Eiche, Roald Eiselen, Marhaba Eli, Ali Elkahky, Binyam Ephrem, Olga Erina, Tomaž Erjavec, Soudabeh Eslami, Farah Essaidi, Aline Etienne, Wograine Evelyn, Sidney Facundes, Richárd Farkas, Federica Favero, Jannatul Ferdaousi, Marília Fernanda, Hector Fernandez Alcalde, Amal Fethi, Jennifer Foster, Theodorus Fransen, Cláudia Freitas, Kazunori Fujita, Katarína Gajdošová, Daniel Galbraith, Edith Galy, Federica Gamba, Marcos Garcia, Moa Gärdenfors, Tanja Gaustad, Efe Eren Genç, Fabrício Ferraz Gerardi, Kim Gerdes, Luke Gessler, Filip Ginter, Gustavo Godoy, Iakes Goenaga, Koldo Gojenola, Memduh Gökırmak, Yoav Goldberg, Xavier Gómez Guinovart, Berta González Saavedra, Bernadeta Griciūtė, Matias Grioni, Loïc Grobol, Normunds Grūzītis, Bruno Guillaume, Kirian Guiller, Céline Guillot-Barbance, Tunga Güngör, Nizar Habash, Hinrik Hafsteinsson, Jan Hajič, Jan Hajič jr., Mika Hämäläinen, Linh Hà Mỹ, Na-Rae Han, Muhammad Yudistira Hanifmuti, Takahiro Harada, Sam Hardwick, Kim Harris, Naïma Hassert, Dag Haug, Johannes Heinecke, Oliver Hellwig, Felix Hennig, Barbora Hladká, Jaroslava Hlaváčová, Florinel Hociung, Diana Hoefels, Petter Hohle, Yidi Huang, Marivel Huerta Mendez, Jena Hwang, Takumi Ikeda, Inessa Iliadou, Anton Karl Ingason, Radu Ion, Elena Irimia, Ọlájídé Ishola, Artan Islamaj, Kaoru Ito, Federica Iurescia, Sandra Jagodzińska, Siratun Jannat, Tomáš Jelínek, Apoorva Jha, Katharine Jiang, Mayank Jobanputra, Anders Johannsen, Hildur Jónsdóttir, Fredrik Jørgensen, Markus Juutinen, Hüner Kaşıkara, Nadezhda Kabaeva, Sylvain Kahane, Hiroshi Kanayama, Jenna Kanerva, Neslihan Kara, Ritván Karahóǧa, Andre Kåsen, Tolga Kayadelen, Sarveswaran Kengatharaiyer, Václava Kettnerová, Lilit Kharatyan, Jesse Kirchner, Elena Klementieva, Elena Klyachko, Petr Kocharov, Arne Köhn, Abdullatif Köksal, Kamil Kopacewicz, Timo Korkiakangas, Mehmet Köse, Alexey Koshevoy, Natalia Kotsyba, Barbara Kovačić, Jolanta Kovalevskaitė, Simon Krek, Parameswari Krishnamurthy, Sandra Kübler, Adrian Kuqi, Oğuzhan Kuyrukçu, Aslı Kuzgun, Sookyoung Kwak, Kris Kyle, Käbi Laan, Veronika Laippala, Lorenzo Lambertino, Tatiana Lando, Septina Dian Larasati, Alexei Lavrentiev, John Lee, Phương Lê Hồng, Alessandro Lenci, Saran Lertpradit, Herman Leung, Maria Levina, Lauren Levine, Cheuk Ying Li, Josie Li, Keying Li, Yixuan Li, Yuan Li, KyungTae Lim, Bruna Lima Padovani, Yi-Ju Jessica Lin, Krister Lindén, Yang Janet Liu, Nikola Ljubešić, Irina Lobzhanidze, Olga Loginova, Lucelene Lopes, Stefano Lusito, Anne-Marie Lutgen, Andry Luthfi, Mikko Luukko, Olga Lyashevskaya, Teresa Lynn, Vivien Macketanz, Menel Mahamdi, Jean Maillard, Ilya Makarchuk, Aibek Makazhanov, Francesco Mambrini, Michael Mandl, Christopher Manning, Ruli Manurung, Büşra Marşan, Cătălina Mărănduc, David Mareček, Katrin Marheinecke, Stella Markantonatou, Héctor Martínez Alonso, Lorena Martín Rodríguez, André Martins, Cláudia Martins, Jan Mašek, Hiroshi Matsuda, Yuji Matsumoto, Alessandro Mazzei, Ryan McDonald, Sarah McGuinness, Maitrey Mehta, Pierre André Ménard, Gustavo Mendonça, Tatiana Merzhevich, Paul Meurer, Niko Miekka, Emilia Milano, Aaron Miller, Karina Mischenkova, Anna Missilä, Cătălin Mititelu, Maria Mitrofan, Yusuke Miyao, AmirHossein Mojiri Foroushani, Judit Molnár, Amirsaeid Moloodi, Simonetta Montemagni, Amir More, Laura Moreno Romero, Giovanni Moretti, Shinsuke Mori, Tomohiko Morioka, Shigeki Moro, Bjartur Mortensen, Bohdan Moskalevskyi, Kadri Muischnek, Robert Munro, Yugo Murawaki, Kaili Müürisep, Pinkey Nainwani, Mariam Nakhlé, Juan Ignacio Navarro Horñiacek, Anna Nedoluzhko, Gunta Nešpore-Bērzkalne, Manuela Nevaci, Lương Nguyễn Thị, Huyền Nguyễn Thị Minh, Yoshihiro Nikaido, Vitaly Nikolaev, Rattima Nitisaroj, Victor Norrman, Alireza Nourian, Maria das Graças Volpe Nunes, Hanna Nurmi, Stina Ojala, Atul Kr. Ojha, Hulda Óladóttir, Adédayọ̀ Olúòkun, Mai Omura, Emeka Onwuegbuzia, Noam Ordan, Petya Osenova, Robert Östling, Annika Ott, Lilja Øvrelid, Şaziye Betül Özateş, Merve Özçelik, Arzucan Özgür, Balkız Öztürk Başaran, Teresa Paccosi, Alessio Palmero Aprosio, Anastasia Panova, Thiago Alexandre Salgueiro Pardo, Hyunji Hayley Park, Niko Partanen, Elena Pascual, Marco Passarotti, Agnieszka Patejuk, Guilherme Paulino-Passos, Giulia Pedonese, Angelika Peljak-Łapińska, Siyao Peng, Siyao Logan Peng, Rita Pereira, Sílvia Pereira, Cenel-Augusto Perez, Natalia Perkova, Guy Perrier, Slav Petrov, Daria Petrova, Andrea Peverelli, Jason Phelan, Claudel Pierre-Louis, Jussi Piitulainen, Yuval Pinter, Clara Pinto, Rodrigo Pintucci, Tommi A Pirinen, Emily Pitler, Magdalena Plamada, Barbara Plank, Alistair Plum, Thierry Poibeau, Larisa Ponomareva, Martin Popel, Lauma Pretkalniņa, Rigardt Pretorius, Sophie Prévost, Prokopis Prokopidis, Adam Przepiórkowski, Robert Pugh, Tiina Puolakainen, Christoph Purschke, Sampo Pyysalo, Peng Qi, Andreia Querido, Andriela Rääbis, Alexandre Rademaker, Mizanur Rahoman, Taraka Rama, Loganathan Ramasamy, Carlos Ramisch, Joana Ramos, Fam Rashel, Mohammad Sadegh Rasooli, Vinit Ravishankar, Livy Real, Petru Rebeja, Siva Reddy, Mathilde Regnault, Georg Rehm, Arij Riabi, Ivan Riabov, Michael Rießler, Erika Rimkutė, Larissa Rinaldi, Laura Rituma, Putri Rizqiyah, Luisa Rocha, Eiríkur Rögnvaldsson, Ivan Roksandic, Mykhailo Romanenko, Rudolf Rosa, Valentin Roșca, Davide Rovati, Ben Rozonoyer, Olga Rudina, Jack Rueter, Paolo Ruffolo, Kristján Rúnarsson, Shoval Sadde, Pegah Safari, Aleksi Sahala, Shadi Saleh, Alessio Salomoni, Tanja Samardžić, Stephanie Samson, Xulia Sánchez-Rodríguez, Manuela Sanguinetti, Ezgi Sanıyar, Dage Särg, Marta Sartor, Albina Sarymsakova, Mitsuya Sasaki, Baiba Saulīte, Agata Savary, Yanin Sawanakunanon, Shefali Saxena, Kevin Scannell, Salvatore Scarlata, Emmanuel Schang, Nathan Schneider, Sebastian Schuster, Lane Schwartz, Djamé Seddah, Wolfgang Seeker, Sven Sellmer, Mojgan Seraji, Syeda Shahzadi, Mo Shen, Atsuko Shimada, Hiroyuki Shirasu, Yana Shishkina, Muh Shohibussirri, Maria Shvedova, Janine Siewert, Einar Freyr Sigurðsson, João Silva, Aline Silveira, Natalia Silveira, Sara Silveira, Maria Simi, Radu Simionescu, Katalin Simkó, Mária Šimková, Haukur Barri Símonarson, Kiril Simov, Dmitri Sitchinava, Ted Sither, Aaron Smith, Isabela Soares-Bastos, Per Erik Solberg, Barbara Sonnenhauser, Shafi Sourov, Rachele Sprugnoli, Vivian Stamou, Steinþór Steingrímsson, Antonio Stella, Abishek Stephen, Milan Straka, Emmett Strickland, Jana Strnadová, Alane Suhr, Yogi Lesmana Sulestio, Umut Sulubacak, Shingo Suzuki, Daniel Swanson, Zsolt Szántó, Chihiro Taguchi, Dima Taji, Fabio Tamburini, Mary Ann C. Tan, Takaaki Tanaka, Dipta Tanaya, Mirko Tavoni, Samson Tella, Isabelle Tellier, Marinella Testori, Guillaume Thomas, Tarık Emre Tıraş, Sara Tonelli, Liisi Torga, Marsida Toska, Trond Trosterud, Anna Trukhina, Reut Tsarfaty, Utku Türk, Francis Tyers, Sveinbjörn Þórðarson, Vilhjálmur Þorsteinsson, Sumire Uematsu, Roman Untilov, Zdeňka Urešová, Larraitz Uria, Hans Uszkoreit, Andrius Utka, Elena Vagnoni, Sowmya Vajjala, Socrates Vak, Rob van der Goot, Martine Vanhove, Daniel van Niekerk, Gertjan van Noord, Viktor Varga, Uliana Vedenina, Giulia Venturi, Eric Villemonte de la Clergerie, Veronika Vincze, Anishka Vissamsetty, Natalia Vlasova, Eleni Vligouridou, Aya Wakasa, Joel C. Wallenberg, Lars Wallin, Abigail Walsh, John Wang, Jonathan North Washington, Maximilan Wendt, Paul Widmer, Shira Wigderson, Sri Hartati Wijono, Vanessa Berwanger Wille, Seyi Williams, Mats Wirén, Christian Wittern, Tsegay Woldemariam, Tak-sum Wong, Alina Wróblewska, Qishen Wu, Mary Yako, Kayo Yamashita, Naoki Yamazaki, Chunxiao Yan, Koichi Yasuoka, Marat M. Yavrumyan, Arife Betül Yenice, Enes Yılandiloğlu, Olcay Taner Yıldız, Zhuoran Yu, Arlisa Yuliawati, Zdeněk Žabokrtský, Shorouq Zahra, Amir Zeldes, He Zhou, Hanzhi Zhu, Yilun Zhu, Anna Zhuravleva, Rayan Ziane References Marie-Catherine de Marneffe, Christopher Manning, Joakim Nivre, Daniel Zeman. 2021. Universal Dependencies. In Computational Linguistics 47:2, pp. 255–308. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman. 2020. Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection. In Proceedings of LREC. -------------------------------------------------------------------------------- Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proceedings of LREC. Marie-Catherine de Marneffe and Christopher D. Manning. 2008. The Stanford typed dependencies representation. In COLING Workshop on Cross-framework and Cross-domain Parser Evaluation. Marie-Catherine de Marneffe, Timothy Dozat, Natalia Silveira, Katri Haverinen, Filip Ginter, Joakim Nivre, and Christopher Manning. 2014. Universal Stanford Dependencies: A cross-linguistic typology. In Proceedings of LREC. Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajič, Christopher D. Manning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman. 2016. Universal Dependencies v1: A Multilingual Treebank Collection. In Proceedings of LREC. Slav Petrov, Dipanjan Das, and Ryan McDonald. 2012. A universal part-of-speech tagset. In Proceedings of LREC. Daniel Zeman. 2008. Reusable Tagset Conversion Using Tagset Drivers. In Proceedings of LREC.

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CfP GenChal proposals @INLG 2024
by Simon Mille 15 May '24

15 May '24

Dear colleagues, Please find below the first call for proposals for this year's new shared task proposals to be presented during the Generation Challenges session of INLG. ======================================= GenChal @ 17th International Conference on Natural Language Generation Tokyo, Japan, September 23-27 2024 INLG Twitter: @inlgmeeting INLG website:https://inlg2024.github.io/ <https://inlg2023.github.io/> ======================================= Submission deadline: June 24th 2024 We invite submissions of papers describing ideas for future shared tasks in the general area of language generation (Generation Challenges 2024). Proposed tasks can be in the area of core NLG, or in other research areas in which language is generated. Examples include, but are not limited to: data-to-text NLG, text-to-text generation (including MT and summarisation), combining core NLG and MT, combining core NLG and text summarisation, NLG quality estimation, NLG evaluation metrics, and/or generating language from heterogeneous data, including image and video. The Generation Challenges (GenChal) are an umbrella event designed to bring together a variety of shared-task efforts that involve the generation of natural language. This year, Generation Challenges will be held as a workshop at the 17th International Conference on Natural Language Generation (INLG 2024 <https://inlg2024.github.io/>), scheduled on September 23-27 2024. The workshop will follow the format of previous GenChal results sessions, with presentations of results by the organisers of the generation challenges that are currently running, a poster session for task participants to present their submissions, as well as presentations of proposals for new shared tasks in the Task Proposals Track, and discussion sessions. You can see some of the previous GenChal tasks in the past GenChal proceedings on the ACL Anthology (see e.g. 2022 <https://aclanthology.org/volumes/2022.inlg-genchal/> or 2023 <https://aclanthology.org/volumes/2023.inlg-genchal/>) or on the dedicated repository <https://sites.google.com/view/genchalrepository/home>. Submissions should describe possible future tasks in detail, including information regarding organisers, task description, motivating theoretical interest and/or application context, size and state of completion of data to be used, schedule and evaluation plans. Accepted shared tasks will be run in the 2025 iteration of INLG. Important dates - Submission deadline: June 24th 2024 - Notification: July 15th 2024 - Camera-ready submission: August 16th 2024 - Workshop at INLG conference: September 23rd-24h 2024 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Submissions and format Submissions in the Shared Task Proposals track should be no more than 4 (four) pages long excluding citations, and should follow the ACLPUB formatting guidelines <https://acl-org.github.io/ACLPUB/formatting.html> (you will find LaTeX style files and Microsoft Word templates under this link). Proposals should be uploaded to the SoftConf <https://softconf.com/n/inlg2024/user/scmd.cgi?scmd=submitPaperCustom&pageid…> GenChal submission page, using the Submission type New shared task proposal. Submissions will be peer-reviewed by the program committee. As reviewing will not be blind, there is no need to anonymise papers. This is not intended to be a selective process, since the aim is to discuss new potential shared tasks with INLG delegates. However, the organisers reserve the right to reject proposals which do not fall within the scope of the GenChal initiative, or which do not follow guidelines. Accepted submissions will be published in separate GenChal 2023 proceedings on the ACL Anthology, as was done in 2022 <https://aclanthology.org/volumes/2022.inlg-genchal/> and 2023 <https://aclanthology.org/volumes/2023.inlg-genchal/>. Looking forward to seeing you at INLG! Miruna and Simon, GenChal chairs, on behalf of the INLG'24 organisers *ADAPT Research Centre / Ionaid Taighde ADAPT* *School of Computing, Dublin City University, Glasnevin Campus / Scoil na Ríomhaireachta, Campas Ghlas Naíon, Ollscoil Chathair Bhaile Átha Cliath*

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[Extended deadline] Final Call For Papers, Fifth Workshop on Privacy in Natural Language Processing at ACL 2024
by Ivan Habernal 15 May '24

15 May '24

PrivateNLP 2024: Fifth Workshop on Privacy in Natural Language Processing at ACL 2024 Final Call For Papers ACL PrivateNLP is a full day workshop taking place on August 15, 2024 in conjunction with ACL 2024. Workshop website: https://sites.google.com/view/privatenlp/ Important Dates: • [Extended] Submission Deadline: May 30, 2024 • Acceptance Notification: June 17, 2024 • Camera-ready versions: July 01, 2024 • Workshop: August 15, 2024 Privacy-preserving data analysis has become essential in the age of Large Language Models (LLMs) where access to vast amounts of data can provide gains over tuned algorithms. A large proportion of user-contributed data comes from natural language e.g., text transcriptions from voice assistants. It is therefore important to curate NLP datasets while preserving the privacy of the users whose data is collected, and train LLMs models that only retain non-identifying user data. The workshop aims to bring together practitioners and researchers from academia and industry to discuss the challenges and approaches to designing, building, verifying, and testing privacy preserving systems in the context of Natural Language Processing. Topics of interest include but are not limited to: * Privacy in Large Language Models * Generating privacy preserving test sets * Inference and identification attacks * Generating Differentially private derived data * NLP, privacy and regulatory compliance * Private Generative Adversarial Networks * Privacy in Active Learning and Crowdsourcing * Privacy and Federated Learning in NLP * User perceptions on privatized personal data * Auditing provenance in language models * Continual learning under privacy constraints * NLP and summarization of privacy policies * Ethical ramifications of AI/NLP in support of usable privacy * Homomorphic encryption for language models Submissions: 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. OpenReview direct submission: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/PrivateNLP Organizers: Sepideh Ghanavati, University of Maine Abhilasha Ravichander, Allen AI Niloofar Mireshghallah, University of Washington Ivan Habernal, Paderborn University Seyi Feyisetan, Amazon Patricia Thaine, Private AI Vijayanta Jain, University of Maine Timour Igamberdiev, Technical University of Darmstadt Contact us: privatenlp24-orga(a)lists.uni-paderborn.de

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2nd CfP: GermEval2024 Shared Task GerMS-Detect - Sexism Detection and Annotator Disagreement Prediction in German Online News Fora @Konvens 2024
by stephanie.gross＠ofai.at 15 May '24

15 May '24

GermEval2024 Shared Task: GerMS-Detect -- Sexism Detection and Annotator Disagreement Prediction in German Online News Fora ===================================================================================== 2nd CALL FOR PARTICIPATION We would like to invite you to the GermEval Shared Task GerMS-Detect on Sexism Detection and Annotator Disagreement Prediction in German Online News Fora collocated with Konvens 2024 (https://konvens-2024.univie.ac.at/). Competition Website: https://ofai.github.io/GermEval2024-GerMS/ Important Dates ------------------ Development phase: May 1 - June 5, 2024 (ongoing) Competition phase: June 7 - June 25, 2024 Paper submission due: July 1, 2024 Camera ready due: July 20, 2024 Shared Task @KONVENS: 10 September, 2024 Task description ------------------ This shared task is not just about the detection of sexism/misogyny in comments posted in (mostly) German language to the comment section of an Austrian online newspaper: many of the texts to be classified contain ambiguous language, very subtle ways to express misogyny or sexism or lack important context. For these reasons, there can be quite some disagreement between annotators on the appropriate label. In many cases, there is no single correct label. For this reason the shared task is not just about correctly predicting a single label chosen from all the labels assigned by human annotators, but about models which can predict the level of disagreement, the range of labels assigned by annotators or the distribution of labels to expect for a specific group of annotators. For details see the Competition Website (https://ofai.github.io/GermEval2024-GerMS/). Organizers ------------ The task is organized by the Austrian Research Institute for Artificial Intelligence (OFAI). Organizing team ------------------ Brigitte Krenn (brigitte.krenn (AT) ofai.at) Johann Petrak (johann.petrak (AT) ofai.at) Stephanie Gross (stephanie.gross (AT) ofai.at)

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Seeking alpha/beta testers for text manipulation software
by Greg Lessard 15 May '24

15 May '24

I have written several little text manipulation tools that I would like anyone interested to try out and give me comments and suggestions on. They are pure JavaScript (no libraries) and work using arrays so they can handle texts up to about the size of a novel. They can be used from their website or alternatively saved and used offline on any device from a phone to a laptop. The tools include: vlviewtext.html: a tool for viewing a text file in either text or concordance mode with fast switching between the two views. vlmakelist.html: a tool for creating a wordlist or frequency list from a text file, the former as a csv file, the latter as html or csv vltaglist.html: a tool for creating or editing tagged wordlists with up to three levels of tags The tools may be found at: https://vincilingua.ca/Tools/index.html Each comes with a basic online manual and sample texts in English and French may be found on the site. Please send any comments or suggestions to me directly at lessardg(a)protonmail.com. With thanks in advance, Greg Lessard

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Workshop on COuntering Disinformation with AI @ECAI: CFP (Deadline extended)
by Rajesh Sharma 15 May '24

15 May '24

Dear All, We invite paper submissions to the Workshop on COuntering Disinformation with AI (CODAI), which will take place on 20 October at ECAI 2024. *Website:* https://codai2024.github.io/ *Important dates* Submission deadline: 24th May 2024 Accept/Reject Communications: 1st July 2024 Camera-ready papers due: 22nd July 2024 Workshop date: 20 October 2024 All deadlines are 11:59 pm UTC-12 (“anywhere on earth”). *Overview* Social media platforms which have been designed primarily to allow users to create and share content with others, have become integral parts of modern communication, enabling people to connect with each other as well as for broadcasting information to a wider audience. On one side these platforms provide an opportunity to facilitate discussions in an open and free environment. On the flip side, new societal issues have started emerging on these platforms. Among all the issues, the topic of misinformation has been prevalent on these platforms. The term misinformation is an umbrella term which encompasses various entities such as fake news, hoaxes, rumors to name a few. While misinformation refers to non-intentional spread of non-authentic information, the term disinformation points to spreading of a piece of inauthentic information with certain malign intentions. *Topics* Areas of interest to include, but are not limited to, the following: - Information diffusion models for understanding and thwarting the spread of low-quality information; - Characterization and detection of coordinated inauthentic behavior; - Novel techniques for detecting malicious accounts (e.g., bots, cyborgs and trolls); - Information diffusion models for understanding and thwarting the spread of low-quality information; - Understanding and detection of disinformation; - Study, inference and detection of narratives in disinformation campaigns; - Impact/Harm of misinformation on society. - Case-studies on the spread and impact of fake news in controversial topics such as politics, health, climate change, economics, migration. - Social and psychological studies, or data analytics related to misinformation spreaders. - Metrics, tools and methods for measuring the impact of fake news and of coordinated inauthentic behaviors; - Datasets for evaluation. *Submission Link:* https://chairingtool.com/ *Submission Types* *Original submissions:* The submissions will be reviewed through a double-blind process and must remain anonymous. They can be either short papers (2-4 pages) or long papers (6-8 pages), with additional pages allowed for references. . *Non-archival option:* In addition to regular paper submissions, authors have the option of submitting previous research or abstract as non-archival. Accepted submissions will be presented at the workshop as oral presentations. *Format and styling* Submissions should be formatted according to the ECAI formatting instructions and not exceed 7 pages (plus 1 extra page for references). All submissions should use the ECAI 2024 template and formatting requirements specified by ECAI. Please send any questions about the workshop to codaihelp(a)gmail.com *Organisers* Rajesh Sharma, University of Tartu, Estonia Anselmo Peñas, Universidad Nacional de Educación a Distancia (UNED), Spain

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