Valerio Basile, D. Croce, Maria Di Maro, Lucia C. Passaro
{"title":"EVALITA 2020:第七次意大利语自然语言处理和语音工具评估活动概述","authors":"Valerio Basile, D. Croce, Maria Di Maro, Lucia C. Passaro","doi":"10.4000/BOOKS.AACCADEMIA.6747","DOIUrl":null,"url":null,"abstract":"The Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA) is the biennial initiative aimed at promoting the development of language and speech technologies for the Italian language. EVALITA is promoted by the Italian Association of Computational Linguistics (AILC)1 and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA)2 and the Italian Association for Speech Sciences (AISV)3. EVALITA provides a shared framework where different systems and approaches can be scientifically evaluated and compared with each other with respect to a large variety of tasks, suggested and organized by the Italian research community. The proposed tasks represent scientific challenges where methods, resources, and systems can be tested against shared benchmarks representing linguistic open issues or real world applications, possibly in a multilingual and/or multi-modal perspective. The collected data sets provide big opportunities for scientists to explore old and new problems concerning NLP in Italian as well as to develop solutions and to discuss the NLP-related issues within the community. Some tasks are traditionally present in the evaluation campaign, while others are completely new. This paper introduces the tasks proposed at EVALITA 2020 and provides an overview to the participants and systems whose descriptions and obtained results are reported in these Proceedings4. The EVALITA 2020 edition, held online on December 17th due to the COVID-19 pandemic, counts 14 different tasks. In particular, the selected tasks are grouped in five research areas (tracks) according to their objective and characteristics, namely (i) Affect, Hate, and Stance, (ii) Creativity and Style, (iii) New Challenges in Long-standing Tasks, (iv) Semantics and Multimodality, (v) Time and Diachrony. This edition was highly participated, with 51 groups whose participants have affiliation in 14 countries. Although EVALITA is generally promoted and targeted to the Italian research community, this edition saw an international participation, also thanks to the fact that several Italian researchers working in different countries contributed to the organization of the tasks or participated in them as authors. This overview is organized as follows: in Section 2 a brief description of the tasks belonging to the various areas is reported. Section 3 discusses the participation to the workshop referred to several aspects, from the research area, to the affiliation of authors. Section 4 describes the criteria used to assign the best system across tasks award, made by an ad-hoc committee starting from the suggestions of task organizers and reviewers. Finally, section 5 points out on both the obtained results and on the future of the workshop.","PeriodicalId":184564,"journal":{"name":"EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"91","resultStr":"{\"title\":\"EVALITA 2020: Overview of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian\",\"authors\":\"Valerio Basile, D. Croce, Maria Di Maro, Lucia C. 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The proposed tasks represent scientific challenges where methods, resources, and systems can be tested against shared benchmarks representing linguistic open issues or real world applications, possibly in a multilingual and/or multi-modal perspective. The collected data sets provide big opportunities for scientists to explore old and new problems concerning NLP in Italian as well as to develop solutions and to discuss the NLP-related issues within the community. Some tasks are traditionally present in the evaluation campaign, while others are completely new. This paper introduces the tasks proposed at EVALITA 2020 and provides an overview to the participants and systems whose descriptions and obtained results are reported in these Proceedings4. The EVALITA 2020 edition, held online on December 17th due to the COVID-19 pandemic, counts 14 different tasks. In particular, the selected tasks are grouped in five research areas (tracks) according to their objective and characteristics, namely (i) Affect, Hate, and Stance, (ii) Creativity and Style, (iii) New Challenges in Long-standing Tasks, (iv) Semantics and Multimodality, (v) Time and Diachrony. This edition was highly participated, with 51 groups whose participants have affiliation in 14 countries. Although EVALITA is generally promoted and targeted to the Italian research community, this edition saw an international participation, also thanks to the fact that several Italian researchers working in different countries contributed to the organization of the tasks or participated in them as authors. This overview is organized as follows: in Section 2 a brief description of the tasks belonging to the various areas is reported. Section 3 discusses the participation to the workshop referred to several aspects, from the research area, to the affiliation of authors. 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EVALITA 2020: Overview of the 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian
The Evaluation Campaign of Natural Language Processing and Speech Tools for Italian (EVALITA) is the biennial initiative aimed at promoting the development of language and speech technologies for the Italian language. EVALITA is promoted by the Italian Association of Computational Linguistics (AILC)1 and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA)2 and the Italian Association for Speech Sciences (AISV)3. EVALITA provides a shared framework where different systems and approaches can be scientifically evaluated and compared with each other with respect to a large variety of tasks, suggested and organized by the Italian research community. The proposed tasks represent scientific challenges where methods, resources, and systems can be tested against shared benchmarks representing linguistic open issues or real world applications, possibly in a multilingual and/or multi-modal perspective. The collected data sets provide big opportunities for scientists to explore old and new problems concerning NLP in Italian as well as to develop solutions and to discuss the NLP-related issues within the community. Some tasks are traditionally present in the evaluation campaign, while others are completely new. This paper introduces the tasks proposed at EVALITA 2020 and provides an overview to the participants and systems whose descriptions and obtained results are reported in these Proceedings4. The EVALITA 2020 edition, held online on December 17th due to the COVID-19 pandemic, counts 14 different tasks. In particular, the selected tasks are grouped in five research areas (tracks) according to their objective and characteristics, namely (i) Affect, Hate, and Stance, (ii) Creativity and Style, (iii) New Challenges in Long-standing Tasks, (iv) Semantics and Multimodality, (v) Time and Diachrony. This edition was highly participated, with 51 groups whose participants have affiliation in 14 countries. Although EVALITA is generally promoted and targeted to the Italian research community, this edition saw an international participation, also thanks to the fact that several Italian researchers working in different countries contributed to the organization of the tasks or participated in them as authors. This overview is organized as follows: in Section 2 a brief description of the tasks belonging to the various areas is reported. Section 3 discusses the participation to the workshop referred to several aspects, from the research area, to the affiliation of authors. Section 4 describes the criteria used to assign the best system across tasks award, made by an ad-hoc committee starting from the suggestions of task organizers and reviewers. Finally, section 5 points out on both the obtained results and on the future of the workshop.