Verb Construction As A Feature Of Genre Classification

6 pages•Published: March 18, 2019

Abstract

In our research we studied the dependency structure of the text genre (love stories, detective stories, science fiction and fantasy). The novel characteristics (such syntactic attributes as verb constructions and construction of a specific cumulative threshold) which can be additional machine learning parameters were identified. We conducted experiment with novel features and showed that these characteristics can be useful for closely related genre recognition.

Keyphrases: machine learning, universal dependencies, verb construction

In: Gerhard Wohlgenannt, Ruprecht von Waldenfels, Svetlana Toldova, Ekaterina Rakhilina, Denis Paperno, Olga Lyashevskaya, Natalia Loukachevitch, Sergei O. Kuznetsov, Olga Kultepina, Dmitry Ilvovsky, Boris Galitsky, Ekaterina Artemova and Elena Bolshakova (editors). Proceedings of Third Workshop "Computational linguistics and language science", vol 4, pages 107-112.

Links:	https://easychair.org/publications/paper/V6XW
	https://doi.org/10.29007/xfs5

BibTeX entry

@inproceedings{CLLS2018:Verb_Construction_As_Feature,
  author    = {Nadezhda Bujlova},
  title     = {Verb Construction As A Feature Of Genre Classification},
  booktitle = {Proceedings of Third Workshop "Computational linguistics and language science"},
  editor    = {Gerhard Wohlgenannt and Ruprecht von Waldenfels and Svetlana Toldova and Ekaterina Rakhilina and Denis Paperno and Olga Lyashevskaya and Natalia Loukachevitch and Sergei O. Kuznetsov and Olga Kultepina and Dmitry Ilvovsky and Boris Galitsky and Ekaterina Artemova and Elena Bolshakova},
  series    = {EPiC Series in Language and Linguistics},
  volume    = {4},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5283},
  url       = {/publications/paper/V6XW},
  doi       = {10.29007/xfs5},
  pages     = {107-112},
  year      = {2019}}

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