Verbs represent a way In which ontological relationships between concepts and instances are expressed in natural language utterances. Moreover, an organized network of semantically related verbs can play a crucial role in applications. For example, if a Question-Answering system could exploit the direction of the entailment relation win → play, it may expand the question "Who played against Liverpool?" with "X won against Liverpool" and it may avoid the expansion of "Who won against Liverpool?" in "X played against Liverpool" that would be wrong. In this paper, we present a survey of the methods proposed to extract verb relations in corpora. These methods can be divided in two classes: those using the Harris distributional hypothesis and th...
This paper describes the semantic network of English verbs in WordNet. The semantic relations used t...
An important trend in recent works on lexical semantics has been the development of learning methods...
Distributional semantics represents words as multidimensional vectors recording their statistical di...
Verbs represent a way In which ontological relationships between concepts and instances are expresse...
This paper uses human verb associations as the basis for an investigation of verb properties, focusi...
A comprehensive repository of semantic relations between verbs is of great importance in supporting ...
In this paper we present a novel resource for studying the semantics of verb relations. The resource...
Event entailment is knowledge that may prove useful for a variety of applications dealing with infer...
Abstract. Broad-coverage repositories of semantic relations between actions could benefit many NLP t...
Recent work has aimed at discovering ontological relations from text corpora. Most approaches are ba...
This study describes a semi-automatic approach to the classification of predicates based on their su...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
We apply machine learning techniques to classify automatically a set of verbs into lexical semanti...
This work is concerned with an investigation of semantic associations. We performed an elicitation t...
International audienceAn important trend in recent works on lexical semantics has been the developme...
This paper describes the semantic network of English verbs in WordNet. The semantic relations used t...
An important trend in recent works on lexical semantics has been the development of learning methods...
Distributional semantics represents words as multidimensional vectors recording their statistical di...
Verbs represent a way In which ontological relationships between concepts and instances are expresse...
This paper uses human verb associations as the basis for an investigation of verb properties, focusi...
A comprehensive repository of semantic relations between verbs is of great importance in supporting ...
In this paper we present a novel resource for studying the semantics of verb relations. The resource...
Event entailment is knowledge that may prove useful for a variety of applications dealing with infer...
Abstract. Broad-coverage repositories of semantic relations between actions could benefit many NLP t...
Recent work has aimed at discovering ontological relations from text corpora. Most approaches are ba...
This study describes a semi-automatic approach to the classification of predicates based on their su...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
We apply machine learning techniques to classify automatically a set of verbs into lexical semanti...
This work is concerned with an investigation of semantic associations. We performed an elicitation t...
International audienceAn important trend in recent works on lexical semantics has been the developme...
This paper describes the semantic network of English verbs in WordNet. The semantic relations used t...
An important trend in recent works on lexical semantics has been the development of learning methods...
Distributional semantics represents words as multidimensional vectors recording their statistical di...