AWinograd schema is a pair of twin sentences containing a referential ambiguity that is easy for a human to resolve but difficult for a com-puter. This paper explores the characteristics of world knowledge necessary for resolving such a schema. We observe that people tend to avoid ambiguous antecedents when using pro-nouns in writing. We present a method for au-tomatically acquiring examples that are simi-lar to Winograd schemas but have less ambi-guity. We generate a concise search query that captures the essential parts of a given source sentence and then find the alignments of the source sentence and its retrieved examples. Our experimental results show that the exist-ing sentences on the Web indeed contain in-stances of world knowledge ...
When do people use knowledge about the world in order to comprehend language? We asked whether prono...
In order to produce coherent text, natural language generation systems must have the ability to gene...
International audienceWe present a cognitive computational model of pronoun resolution that reproduc...
Several sources of information are used in choosing the intended referent of an ambiguous pronoun. T...
Most pronoun resolution research has focused on written corpora while using syntactical and surface ...
We examine the task of resolving complex cases of definite pronouns, specifically those for which tr...
This paper presents a high precision pronoun resolution system that is capable of greater than 90% p...
A value-based approach to Natural Language Understanding, in particular, the disambiguation of prono...
Thesis proposal; final thesis appeared as TR 815.Existing algorithms for pronoun resolution typicall...
A typical problem in the resolution of pronominal anaphora is the presence of more than one candidat...
We study disambiguating of pronoun references in Winograd Schemas, which are part of the Winograd Sc...
Pronoun resolution is a major area of natural language understanding. However, large-scale training ...
abstract: There has been a lot of research in the field of artificial intelligence about thinking ma...
This paper reports two experiments that investigate skilled and less-skilled compre-henders' ability...
Pronoun resolution is the process in which an anaphoric pronoun is linked to its antecedent. In a no...
When do people use knowledge about the world in order to comprehend language? We asked whether prono...
In order to produce coherent text, natural language generation systems must have the ability to gene...
International audienceWe present a cognitive computational model of pronoun resolution that reproduc...
Several sources of information are used in choosing the intended referent of an ambiguous pronoun. T...
Most pronoun resolution research has focused on written corpora while using syntactical and surface ...
We examine the task of resolving complex cases of definite pronouns, specifically those for which tr...
This paper presents a high precision pronoun resolution system that is capable of greater than 90% p...
A value-based approach to Natural Language Understanding, in particular, the disambiguation of prono...
Thesis proposal; final thesis appeared as TR 815.Existing algorithms for pronoun resolution typicall...
A typical problem in the resolution of pronominal anaphora is the presence of more than one candidat...
We study disambiguating of pronoun references in Winograd Schemas, which are part of the Winograd Sc...
Pronoun resolution is a major area of natural language understanding. However, large-scale training ...
abstract: There has been a lot of research in the field of artificial intelligence about thinking ma...
This paper reports two experiments that investigate skilled and less-skilled compre-henders' ability...
Pronoun resolution is the process in which an anaphoric pronoun is linked to its antecedent. In a no...
When do people use knowledge about the world in order to comprehend language? We asked whether prono...
In order to produce coherent text, natural language generation systems must have the ability to gene...
International audienceWe present a cognitive computational model of pronoun resolution that reproduc...