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ATE ABSITA @ EVALITA2020: Overview of the Aspect Term Extraction and Aspect-based Sentiment Analysis Task
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In: Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020), ; 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020), ; https://hal.archives-ouvertes.fr/hal-03552476 ; 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020),, Dec 2020, online, Italy (2020)
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Abstract:
International audience ; Over the last years, the rise of novel sentiment analysis techniques to assess aspect-based opinions on product reviews has become a key component for providing valuable insights to both consumers and businesses. To this extent, we propose ATE ABSITA: the EVALITA 2020 shared task on Aspect Term Extraction and Aspect-Based Sentiment Analysis. In particular, we approach the task as a cascade of three subtasks: Aspect Term Extraction (ATE), Aspect-based Sentiment Analysis (ABSA) and Sentiment Analysis (SA). Therefore, we invited participants to submit systems designed to automatically identify the "aspect term" in each review and to predict the sentiment expressed for each aspect, along with the sentiment of the entire review. The task received broad interest, with 27 teams registered and more than 45 participants. However, only three teams submitted their working systems. The results obtained underline the task's difficulty, but they also show how it is possible to deal with it using innovative approaches and models. Indeed, two of them are based on large pre-trained language models as typical in the current state of the art for the English language. (de Mattei et al.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-03552476/document
https://hal.archives-ouvertes.fr/hal-03552476/file/ateabsita.pdf
https://hal.archives-ouvertes.fr/hal-03552476
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GM-CTSC at SemEval-2020 Task 1: Gaussian mixtures cross temporal similarity clustering
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In: Cassotti, Pierluigi, Caputo, Annalina orcid:0000-0002-7144-8545 , Polignano, Marco orcid:0000-0002-3939-0136 and Basile, Pierpaolo orcid:0000-0002-0545-1105 (2020) GM-CTSC at SemEval-2020 Task 1: Gaussian mixtures cross temporal similarity clustering. In: Fourteenth Workshop on Semantic Evaluation, Dec 2020, Barcelona (Online). (2020)
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GM-CTSC at SemEval-2020 Task 1: Gaussian Mixtures Cross Temporal Similarity Clustering ...
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“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
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