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Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Lingüística computacional"

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Lingüística computacional"

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  • Pérez-Mayos, Laura; Táboas García, Alba; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2021)
    Multilingual Transformer-based language models, usually pretrained on more than 100 languages, have been shown to achieve outstanding results in a wide range of crosslingual transfer tasks. However, it remains unknown ...
  • Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    Abstract structures from which the generation naturally starts often do not contain any functional nodes, while surface-syntactic structures or a chain of tokens in a linearized tree contain all of them. Therefore, data-driven ...
  • Farrús, Mireia; Wagner, Michael; Anguita, Jan; Hernando, Javier (International Speech Communication Association (ISCA), 2008)
    Voice imitation is one of the potential threats to security systems that use automatic speaker recognition. Since prosodic features have been considered for state-of-the-art recognition systems in recent years, the question ...
  • Ballesteros, Miguel; Dyer, Chris; Smith, Noah A. (ACL (Association for Computational Linguistics), 2015)
    We present extensions to a continuousstate dependency parsing method that makes it applicable to morphologically rich languages. Starting with a highperformance transition-based parser that uses long short-term memory ...
  • Lample, Guillaume; Ballesteros, Miguel; Subramanian, Sandeep; Kawakami, Kazuya; Dyer, Chris (ACL (Association for Computational Linguistics), 2016)
    State-of-the-art named entity recognition systems/nrely heavily on hand-crafted features and/ndomain-specific knowledge in order to learn/neffectively from the small, supervised training/ncorpora that are available. In ...
  • Pérez-Mayos, Laura; Carlini, Roberto; Ballesteros, Miguel; Wanner, Leo (ACL (Association for Computational Linguistics), 2021)
    The adaptation of pretrained language models to solve supervised tasks has become a baseline in NLP, and many recent works have focused on studying how linguistic information is encoded in the pretrained sentence ...
  • Dyer, Chris; Kuncoro, Adhiguna; Ballesteros, Miguel; Smith, Noah A. (ACL (Association for Computational Linguistics), 2016)
    We introduce recurrent neural network grammars,/nprobabilistic models of sentences with/nexplicit phrase structure. We explain efficient/ninference procedures that allow application to/nboth parsing and language modeling. ...
  • 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, ...
  • Farrús, Mireia; Poch, Marc; Costa-jussà, Marta R.; Mariño Acebal, José B.; Hernández, Adolfo; Henríquez, Carlos; Fonollosa, José A Rodriguez (International Speech Communication Association (ISCA), 2009)
    In this paper the statistical machine translator (SMT) between Catalan and Spanish developed at the TALP research center (UPC) and its web demonstration are described.
  • Buckman, Jacob; Ballesteros, Miguel; Dyer, Chris (ACL (Association for Computational Linguistics), 2016)
    We introduce a novel approach to the decoding problem in transition-based parsing: heuristic backtracking. This algorithm uses a series of partial parses on the sentence to locate the best candidate parse, using confidence ...
  • Dyer, Chris; Ballesteros, Miguel; Ling, W; Matthews, A; Smith, Noah A. (ACL (Association for Computational Linguistics), 2015)
    We propose a technique for learning representations of parser states in transitionbased dependency parsers. Our primary innovation is a new control structure for sequence-to-sequence neural networks— the stack LSTM. Like ...
  • Ballesteros, Miguel; Carreras, Xavier (ACL (Association for Computational Linguistics), 2015)
    We present a transition-based arc-eager model to parse spinal trees, a dependencybased representation that includes phrasestructure information in the form of constituent spines assigned to tokens. As a main advantage, the ...
  • Soler Company, Juan; Ballesteros, Miguel; Bohnet, Bernd; Mille, Simon; Wanner, Leo (ACL (Association for Computational Linguistics), 2015)
    “Deep-syntactic” dependency structures bridge the gap between the surface-syntactic structures as produced by state-of-the-art dependency parsers and semantic logical forms in that they abstract away from surfacesyntactic ...

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