Exploring the Context of Lexical Functions

  • Olga KolesnikovaEmail author
  • Alexander Gelbukh
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11289)


We explore the context of verb-noun collocations using a corpus of the Excelsior newspaper issues in Spanish. Our purpose is to understand to what extent the context is able to distinguish the semantics of collocations represented by lexical functions of the Meaning-Text Theory. For experiments, four lexical functions were chosen: Oper1, Real1, CausFunc0, and CausFunc1. We inspected different parts of the eight-word window context: the left context, the right context, and both the left and right context. These contexts were retrieved from the original corpus as well as from the same corpus after stopwords deletion. For the vector representation of the context, word counts and tf-idf of words were used. To estimate the ability of the context to predict lexical functions, we used various machine-learning techniques. The best F-measure of 0.65 was achieved for predicting Real1 by Gaussian Naïve Bayes using the left context without stopwords and word counts as features in vectors.


Natural language processing Lexical functions Verb-noun collocations Context representation 



The research was done under partial support of Mexican Government: SNI, BEIFI-IPN, and SIP-IPN grants 20182119 and 20181792. The work was done when A. Gelbukh was visiting the Research Institute for Information and Language Processing, University of Wolverhampton, on a grant from the Sabbatical Year Program of the CONACYT, Mexico.


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Authors and Affiliations

  1. 1.Escuela Superior de Cómputo, Instituto Politécnico NacionalMexico CityMexico
  2. 2.Centro de Investigación en ComputaciónInstituto Politécnico NacionalMexico CityMexico

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