Memorias de investigación
Ponencias en congresos:
On the Non-canonical Valency Filling
Año:2016

Áreas de investigación
  • Ciencias de la computación y tecnología informática,
  • Lingüística computacional

Datos
Descripción
Valency slot filling is a semantic glue, which brings together the meanings of words. As regards the position of an argument in the dependency structure with respect to its predicate, there exist three types of valency filling: active (canonical), passive, and discontinuous. Of these, the first type is studied much better than the other two. As a rule, canonical actants are unambiguously marked in the syntactic structure, and each actant corresponds to a unique syntactic position. Linguistic information on which syntactic function an actant might have (subject, direct or indirect object), what its morphological form should be and which prepositions or conjunctions it requires, can be given in the lexicon in the form of government patterns, subcategorization frames, or similar data structures. We concentrate on non-canonical cases of valency filling in Russian, which are characteristic of nonverbal parts of speech, such as adverbs, adjectives, and particles, in the first place. They are more difficult to handle than canonical ones, because the position of the actant in the tree is governed by more complicated rules. A valency may be filled by expressions occupying different syntactic positions, and a syntactic position may accept expressions filling different valencies of the same word. We show how these phenomena can be processed in a semantic analyzer.
Internacional
Si
Nombre congreso
GramLex 2016, co-located with COLING 2016
Tipo de participación
960
Lugar del congreso
Osaka, Japón
Revisores
Si
ISBN o ISSN
978-4-87974-706-8
DOI
Fecha inicio congreso
11/12/2016
Fecha fin congreso
12/12/2016
Desde la página
51
Hasta la página
60
Título de las actas
Proceedings of the Workshop on Grammar and Lexicon: Interactions and Interfaces

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Igor Boguslavskiy Margolin UPM
  • Autor: Vyacheslav Dikonov IITP- Academia de Ciencias de Rusia
  • Autor: Tatiana Frolova IITP- Academia de Ciencias de Rusia
  • Autor: Leonid Iomdin IITP- Academia de Ciencias de Rusia
  • Autor: Alexander Lazurski IITP- Academia de Ciencias de Rusia
  • Autor: Ivan Rygaev IITP- Academia de Ciencias de Rusia
  • Autor: Svetlana Timoshenko IITP- Academia de Ciencias de Rusia

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Validación y Aplicaciones Industriales
  • Departamento: Inteligencia Artificial