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ESEC - Comunicações em conferências e congressos

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http://hdl.handle.net/10400.26/8845

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Percorrer ESEC - Comunicações em conferências e congressos por autor "Alves, Ana"

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  • AIA-BDE: A Corpus of FAQs in Portuguese and their Variations
    Publication . Oliveira, Hugo Gonçalo; Ferreira, João; Santos, José; Fialho, Pedro; Rodrigues, Ricardo; Coheur, Luísa; Alves, Ana
    We present AIA-BDE, a corpus of 380 domain-oriented FAQs in Portuguese and their variations, i.e., paraphrases or entailed questions, created manually, by humans, or automatically, with Google Translate. Its aims to be used as a benchmark for FAQ retrieval and automatic question-answering, but may be useful in other contexts, such as the development of task-oriented dialogue systems, or models for natural language inference in an interrogative context. We also report on two experiments. Matching variations with their original questions was not trivial with a set of unsupervised baselines, especially for manually created variations. Besides high performances obtained with ELMo and BERT embeddings, an Information Retrieval system was surprisingly competitive when considering only the first hit. In the second experiment, text classifiers were trained with the original questions, and tested when assigning each variation to one of three possible sources, or assigning them as out-of-domain. Here, the difference between manual and automatic variations was not so significant.
    2020Documento de conferência Acesso aberto Ver mais
  • ASAPP 2.0: Advancing the state-of-the-art of semantic textual similarity for Portuguese
    Publication . Alves, Ana; Oliveira, Hugo Gonçalo; Rodrigues, Ricardo; Encarnação, Rui
    Semantic Textual Similarity (STS) aims at computing the proximity of meaning transmitted by two sentences. In 2016, the ASSIN shared task targeted STS in Portuguese and released training and test collections. This paper describes the development of ASAPP, a system that participated in ASSIN, but has been improved since then, and now achieves the best results in this task. ASAPP learns a STS function from a broad range of lexical, syntactic, semantic and distributional features. This paper describes the features used in the current version of ASAPP, and how they are exploited in a regression algorithm to achieve the best published results for ASSIN to date, in both European and Brazilian Portuguese.
    2018Documento de conferência Acesso aberto Ver mais