A sequence labelling approach for automatic analysis of ello: tagging pronouns, antecedents, and connective phrases.

Encapsulators are linguistic units which establish coherent referential connections to the preceding discourse in a text. In this paper, we address the challenge of automatically analysing the pronominal encapsulator ello in Spanish text. Our method identifies, for each occurrence, the antecedent of...

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Publicado en:Language Resources & Evaluation Vol. 56; no. 1; pp. 139 - 165
Autores principales: Parodi, Giovanni, Evans, Richard, Ha, Le An, Mitkov, Ruslan, Julio Vergara, Cristóbal Jesus, Olivares-López, Raúl Ignacio
Formato: Artículo
Publicado: Springer Nature Mar2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Parodi, Giovanni
          Evans, Richard
          Ha, Le An
          Mitkov, Ruslan
          Julio Vergara, Cristóbal Jesus
          Olivares-López, Raúl Ignacio
        affil:
          Pontificia Universidad Catolica de Valparaiso, Valparaiso, Chile
          Research Institute of Information and Language Processing, University of Wolverhampton, Wulfruna Street, WV1 1LY, Wolverhamton, West Midlands, UK
      su:
        Pronouns
        Terms & phrases
        Discourse markers
      sug:
        subj:
          Pronouns
          Terms & phrases
          Discourse markers
      keyword:
        Anaphora resolution
        Ello
        Encapsulation
        Referential coherence
        Relational coherence
      ab: Encapsulators are linguistic units which establish coherent referential connections to the preceding discourse in a text. In this paper, we address the challenge of automatically analysing the pronominal encapsulator ello in Spanish text. Our method identifies, for each occurrence, the antecedent of the pronoun (including its grammatical type), the connective phrase which combines with the pronoun to express a discourse relation linking the antecedent text segment to the following text segment, and the type of semantic relation expressed by the complex discourse marker formed by the connective phrase and pronoun. We describe our annotation of a corpus to inform the development of our method and to finetune an automatic analyser based on bidirectional encoder representation transformers. On testing our method, we find that it performs with greater accuracy than three baselines (0.76 for the resolution task), and sets a promising benchmark for the automatic annotation of occurrences of the pronoun ello, their antecedents, and the semantic relations between the two text segments linked by the connective in combination with the pronoun.
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