TY - JOUR
T1 - Automatic detection of semantic classes of verb-noun collocations
AU - Kolesnikova, Olga
AU - Gelbukh, Alexander
AU - Chanona-Hernández, Liliana
N1 - Publisher Copyright:
© 2020 Instituto Politecnico Nacional. All rights reserved.
PY - 2020
Y1 - 2020
N2 - It does not surprise us that a bank can be a financial institution as well as a piece of land. Quite often one word is used with different meanings. But sometimes the opposite happens: we choose different words to express the same idea. For example, to give a smile means ‘to smile’, and to lend support means ‘to support’ (Longman Dictionary of Contemporary English, 1995). These two collocations convey the same idea: to smile is to ‘perform’, or ‘do’ a smile, and to support is to ‘do’ support, so that both verb-noun collocations share the same semantics: to do what is denoted by the noun. Likewise, we find that to acquire popularity and to sink into despair both mean ‘to begin to experience the ’, and to establish a relation and to find a solution mean ‘to create the ’. Such semantic patterns or classes are called lexical functions. In this article, we explain the concept of lexical functions, give a summary of state-of-the-art research on automatic detection of lexical functions, and present the framework and results of our experiments on supervised learning of lexical functions fulfilled on the material of Spanish verb-noun collocations.
AB - It does not surprise us that a bank can be a financial institution as well as a piece of land. Quite often one word is used with different meanings. But sometimes the opposite happens: we choose different words to express the same idea. For example, to give a smile means ‘to smile’, and to lend support means ‘to support’ (Longman Dictionary of Contemporary English, 1995). These two collocations convey the same idea: to smile is to ‘perform’, or ‘do’ a smile, and to support is to ‘do’ support, so that both verb-noun collocations share the same semantics: to do what is denoted by the noun. Likewise, we find that to acquire popularity and to sink into despair both mean ‘to begin to experience the ’, and to establish a relation and to find a solution mean ‘to create the ’. Such semantic patterns or classes are called lexical functions. In this article, we explain the concept of lexical functions, give a summary of state-of-the-art research on automatic detection of lexical functions, and present the framework and results of our experiments on supervised learning of lexical functions fulfilled on the material of Spanish verb-noun collocations.
KW - Lexical functions
KW - Semantic classification
KW - Supervised machine learning
KW - Verb-noun collocations
UR - http://www.scopus.com/inward/record.url?scp=85086674716&partnerID=8YFLogxK
U2 - 10.13053/CyS-24-1-3130
DO - 10.13053/CyS-24-1-3130
M3 - Artículo
SN - 1405-5546
VL - 24
SP - 141
EP - 150
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 1
ER -