Automatic Acquisition of Synonyms of Verbs from an Explanatory Dictionary Using Hyponym and Hyperonym Relations

Abstract

Abstract. In this paper we present an automatic method for extraction of synonyms of verbs from an explanatory dictionary based only on hyponym/hyperonym relations existing between the verbs defined and the genus used in their definitions. The set of pairs verb-genus can be considered as a directed graph, so we applied an algorithm to identify cycles in these kind of structures. We found that some cycles represent chains of synonyms. We obtain high precision and low recall.

SMSFR: SMS-Based FAQ Retrieval System

“…In addition, we plan to explore the use of softer semantic and syntactic [5] similarity measures, such as those that employ argument structure information [6] and information about synonyms [7].…”

Using normal dictionaries to extract multiple semantic relationships

“…Other approaches to relation extraction use contextual information of single terms. NA Castro‐sanchez et al [14] use the upper and lower positional relationship in the semantic dictionary to obtain a synonym automatic acquisition method for a verb, which is limited to a verb in which the vocabulary in the definition and the defined verb have a top–bottom relationship. Hagiwara [15] measures context similarity through distribution features and uses support vector machines (SVM) to separate synonym pairs from other pairs.…”

Natutal language processing: Perspective of CIC-IPN

“…Due to space limitations I will not present our research on such areas as bilingual text alignment [2] or detection of synonymy [3], but only touch upon those directions of our research that I consider especially important: semantics, representation of text, and applications.…”