Recent Submissions

  • Sequence Tagging for Fast Dependency Parsing 

    Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (2019)
    [Abstract] Dependency parsing has been built upon the idea of using parsing methods based on shift-reduce or graph-based algorithms in order to identify binary dependency relations between the words in a sentence. In this ...
  • Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution 

    Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon (Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020-04-17)
    [Abstract] We study the validity of the cognitive independence assumption using an ensemble of artificial syntactic structures from various classes of dependency grammars. Our findings show that memory limitations have ...
  • Parsing as Pretraining 

    Vilares, David; Strzyz, Michalina; Søgaard, Anders; Gómez-Rodríguez, Carlos (2020)
    [Abstract] Recent analyses suggest that encoders pretrained for language modeling capture certain morpho-syntactic structure. However, probing frameworks for word vectors still do not report results on standard setups ...
  • Increasing NLP Parsing Efficiency with Chunking 

    Anderson, Mark Dáibhidh; Vilares, David (M D P I AG, 2018-09-19)
    [Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary ...
  • On the Processing and Analysis of Microtexts: From Normalization to Semantics 

    Doval, Yerai; Vilares, David (M D P I AG, 2018-09-18)
    [Abstract] User-generated content published on microblogging social platforms constitutes an invaluable source of information for diverse purposes: health surveillance, business intelligence, political analysis, etc. We ...

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