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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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[CFP] ACM TORS: Special Issue on Recommender Systems for Good
by antonela.tommasel＠isistan.unicen.edu.ar 14 May '24

14 May '24

CALL FOR PAPERS: ACM Transactions on Recommender Systems Special Issue on Recommender Systems for Good Submission deadline: 1 September 2024 Guest Editors: - Marko Tkalčič, University of Primorska, Slovenia - Noemi Mauro, University of Turin, Italy - Alan Said, University of Gothenburg, Sweden - Nava Tintarev, University of Maastricht, Netherlands - Antonela Tommasel, ISISTAN, CONICET-UNCPBA, Argentina Recommender systems are among the most widely used applications of machine learning. Since they are so widely used, it is important that we, as practitioners and researchers, think about the impact these systems may have on users, society, and other stakeholders. In practice, the focus is often on systems and values of improving key performance indicators (KPIs), such as increased sales or customer retention. Recommendation technology is currently underutilized to serve societal goals that go beyond the business objectives of individual corporations. However, other values, bound more to societal good, could be considered in the development and goals of a recommender system. In fact, recommender systems have already been explored to stimulate healthier eating behavior and for improved health and well-being in general, to help low-income families make school choices, to suggest successful learning paths for students, to entice climate-protecting energy-saving behavior, to support fair micro-lending, or improve the information diets of news readers. Research in these areas is however limited in numbers, compared to the many papers that are published every year that propose new models for improved movie recommendations. Moreover, concerning the methodology and evaluation perspective in this area, it is essential to find a clear methodology and criteria for evaluating the effectiveness and "goodness" of the proposed algorithms. This includes acknowledging that different values may be conflicting, as well as resolving how and when (and by whom) certain values should be prioritized over others. Research on "Recommender Systems for Good" may benefit from an interdisciplinary approach, drawing on insights from fields such as computer science, ethics, sociology, psychology, law, and economics. Collaborations with stakeholders from diverse backgrounds can enrich the research and ensure that recommendations are grounded in real-world needs and values. This special issue aims to present state-of-the-art research works where recommender systems have a positive societal impact and help us address urgent societal challenges. It will thereby serve as a call to action for more research in these areas. Ultimately, through this special issue, we hope to establish a vision of "Recommender Systems for Good', following the spirit of the "AI for Good" initiative (https://aiforgood.itu.int) to achieve the United Nations Sustainable Development Goals (2015) and the more recent UNESCO recommendation on the Ethics of Artificial Intelligence (2024) (https://www.unesco.org/en/artificial-intelligence/recommendation-ethics). Topics: We aim to collect the latest research on recommender systems for societal good. The topics of the special issues include (but are not limited to): - Recommender systems for safety, security, and privacy (e.g., reducing poverty and inequality) - Recommender systems that protect the environment and ecosystems (e.g., lower energy consumption, water and energy management) - Recommender systems that give control of data back to the users (e.g., transparency of data, models, and outputs) - Recommender systems for the interconnected society (e.g., increase of solidarity, online conversational health, multi-stakeholder recommenders) - Accountability in recommender systems, including addressing emerging regulations, such as the DSA (Digital Service Act) - Recommender systems for the public good (e.g., mental and physical health, welfare, digital literacy, stakeholder engagement, e-learning) - Introspective studies on the current state of RSs concerning societal good - Fairness-preserving and fairness-enhancing recommender systems, unbiased recommendations (e.g. to preserve gender equality) - Responsible recommendation (e.g., in social media and traditional news, avoiding filter bubbles and echo chambers) - Sustainability and Cultural recommendations (e.g., art, cultural heritage) - Recommendations to support disadvantaged groups (e.g., elderly, minorities) - Recommender systems for personal development and well-being (e.g., behavioral change, fitness, self-actualization, personal growth) Important Dates: - Submission deadline: September 1, 2024 - First-round review decisions: December 1, 2024 - Deadline for revision submissions: February 1, 2025 - Notification of final decisions: April 1, 2025 Submissions that are received before the first deadline will be directly sent out for review; papers will be immediately published online after acceptance. Submission Information: The special issue welcomes technical research papers, survey papers, and opinion/reflective papers. Each paper should address one or more of the abovementioned topics or be in other scopes of Recommender Systems for Good. The special issue will also consider peer-reviewed journal versions (at least 30% new content) of top papers from related recommender system conferences such as RecSys, SIGIR, KDD, CIKM, IUI, UMAP, CHI, WSDM, ACL, etc. The new content must be in terms of intellectual contributions, technical experiments, and findings. Submissions must be prepared according to the TORS submission guidelines (https://dl.acm.org/journal/tors/author-guidelines) and must be submitted via Manuscript Central (https://mc.manuscriptcentral.com/tors). For questions and further information, please contact the guest editors at rs4good [at] acm [dot] org.

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Deadline Extension: Language Technologies and Digital Humanities Conference (JT-DH 2024)
by Špela Arhar Holdt 14 May '24

14 May '24

We have **extended the submission deadline** for the Language Technologies and Digital Humanities Conference (JT-DH 2024), which will take place on September 19 and 20, 2024, in Ljubljana, Slovenia. More about the venue, topics, templates, and programme is available here: https://www.sdjt.si/wp/jtdh-2024-en. Important dates - May 31, 2024: **Extended deadline for abstract/paper submission** - July 5, 2024: Notification of acceptance - August 23, 2024: Final abstract/paper submission - August 23, 2024: Registration deadline - September 18, 2024: Pre-conference events and workshops - September 19 & 20, 2024: JTDH 2024 Conference.

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PhD position in Language Technology (3 years)
by Samia Touileb 14 May '24

14 May '24

-- Reminder -- We are seeking a motivated candidate to join our research team in MediaFutures, at the University of Bergen, Norway. The primary task of this position will be to develop novel techniques for generating news articles. This involves creating resources that adapt lexical, grammatical, and stylistic choices based on various parameters, including user profiles, cognitive accessibility, and journalistic formats. We are also interested in exploring how news content can be versioned and adapted dynamically. This includes tailoring news articles to different user preferences and user segments, ensuring readability, and optimizing content delivery across various platforms. We expect that the candidate will explore how large language models can be used for news generation while maintaining ethical and responsible practices. The position also offers the opportunity to collaborate with industry partners and gather domain-specific datasets from leading Norwegian media houses. This real-world collaboration will enhance the relevance and impact of the produced research. The PhD candidate will work at MediaFutures in Work Package 5 and will cooperate with researchers and partners in the work package, including the Language Technology Group at the University of Oslo, the National Library of Norway, Schibsted, Amedia, and TV 2. In addition to relevant researchers and partners in other work packages. As an applicant you should have an excellent written and spoken command of English. Proficiency in Norwegian is an important advantage, but *not* a requirement. The deadline is 25th May 2024. For more details about the position and how to apply see: https://www.jobbnorge.no/en/available-jobs/job/262259/phd-position-in-langu… If you have any questions, do not hesitate to contact me. Best, Samia *---* *Samia Touileb* *Associate Professor in Natural Language Processing* *Department of Information Science and Media Studies,* *University of Bergen* *MediaFutures: Research Center for Responsible Media Technology & Innovation*

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