Browsing by Author "Agirre, Eneko"

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  • Agirre, Eneko; Jonsson, Anders, 1973-; Larcher, Anthony (Springer, 2021)
    Lifelong Learning in the context of Artificial Intelligence is a new paradigm that is still in its infancy. It refers to agents that are able to learn continuously, accumulating the knowledge learned in previous tasks and ...
  • Lopez-Gazpio, Iñigo; Maritxalar, Montserrat; Gonzalez Agirre, Aitor; Rigau Claramunt, German; Uria, Larraitz; Agirre, Eneko (Elsevier, 2017)
    User acceptance of artificial intelligence agents might depend on their ability to explain their reasoning to the users. We focus on a specific text processing task, the Semantic Textual Similarity task (STS), where systems ...
  • Agirre, Eneko; Banea, Carmen; Cer, Daniel; Diab, Mona; Gonzalez Agirre, Aitor; Mihalcea, Rada; Rigau Claramunt, German; Wiebe, Janyce (ACL (Association for Computational Linguistics), 2016)
    Semantic Textual Similarity (STS) seeks to measure the degree of semantic equivalence between two snippets of text. Similarity is expressed on an ordinal scale that spans from semantic equivalence to complete unrelatedness. ...
  • Agirre, Eneko; Gonzalez Agirre, Aitor; Lopez-Gazpio, Iñigo; Maritxalar, Montserrat; Rigau Claramunt, German; Uria, Larraitz (ACL (Association for Computational Linguistics), 2016)
    The final goal of Interpretable Semantic Textual Similarity (iSTS) is to build systems that explain which are the differences and commonalities between two sentences. The task adds an explanatory level on top of STS, ...

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