Ghigliottin-AI @ EVALITA2020: Evaluating Artificial Players for the Language Game 'La Ghigliottina'
| Autor: | Lucia Siciliani, Marco Lovetere, Antonio Pascucci, Federico Sangati, Pierpaolo Basile, Johanna Monti |
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| Rok vydání: | 2020 |
| Předmět: |
Cognitive science
Language & Linguistics Evalita202 Automatic Misogyny Identification AlBERTo BERT Model Language Game ``La Ghigliottina'' Computer science MEME management EVALITA Convolutional Neural Network LAN000000 Language-game La Ghigliottina TV game Ghigliottin-AI Evalita202 Natural Language Processing La Ghigliottina TV game GeneralLiterature_MISCELLANEOUS Hate Speech Detection CBX Ghigliottin-AI linguistica computazionale Misogyny on Twitter Posts Computational linguistics COVID-19 Infodemic Multimodal Meme Detection Natural Language Processing |
| Zdroj: | Scopus-Elsevier |
| DOI: | 10.4000/books.aaccademia.7488 |
| Popis: | Evaluating Artificial Players for the Language Game “La Ghigliottina” (Ghigliottin-AI) task is one of the tasks organized in the context of the 2020 EVALITA edition, a periodic evaluation campaign of Natural Language Processing (NLP) and speech tools for the Italian language. Ghigliottin-AI participants are asked to build an artificial player able to solve “La Ghigliottina”, namely the final game of an Italian TV show called “L’Eredità”. The game involves a single player who is given a set of five words unrelated to each other, but related with a sixth word that represents the solution to the game. Fourteen teams registered to Ghigliottin-AI. Nevertheless, only two teams submitted their run. In order to evaluate the submitted systems, we rely on an API base methodology, via a Remote Evaluation Server (RES). In this report we describe the Ghigliottin-AI task, the data, the evaluation and we discuss results. |
| Databáze: | OpenAIRE |
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