Many research studies adopt manually selected patterns for semantic relation extraction. However, manually identifying and discovering patterns is time consuming and it is difficult to discover all potential candidates. Instead, we propose an automatic pattern construction approach to extract verb synonyms and antonyms from English newspapers. Instead of relying on a single pattern, we combine results indicated by multiple patterns to maximize the recall. Categories and Subject Descriptor
Semantic browser technologies such as Magpie require the construction of lexicons to support the id...
Using small sets of adjectival seed antonym pairs, we automatically find patterns where these pairs ...
A lot of lexical research conducted by experts use existing words in the English Thesaurus. However,...
Many research studies adopt manually selected patterns for semantic relation extraction. However, ma...
Proceedings of the NODALIDA 2009 workshop WordNets and other Lexical Semantic Resources — between L...
Distinguishing antonyms from synonyms is a key challenge for many NLP applications focused on the le...
Distributional models of lexical semantics identify semantically similar words through contextual si...
International audienceRecognizing and distinguishing antonyms from other types of semantic relations...
The traditional statistical approach in synonyms extraction is time-consuming. It is necessary to de...
Current synonym extraction methods work in a “closed ” way. Given the problem word and set of target...
We deal with the issue of automatic discovery of similar words (synonyms and near-synonyms) from dif...
In this paper, we describe a method of automatic extraction of knowledge patterns using in term desc...
We describe a method to automatically extract hyponyms from Japanese newspapers. First, we discover ...
Abstract Automatic extraction of semantic information, if successful, offers to languages with littl...
Using small sets of adjectival seed antonym pairs, we automatically find patterns where these pairs ...
Semantic browser technologies such as Magpie require the construction of lexicons to support the id...
Using small sets of adjectival seed antonym pairs, we automatically find patterns where these pairs ...
A lot of lexical research conducted by experts use existing words in the English Thesaurus. However,...
Many research studies adopt manually selected patterns for semantic relation extraction. However, ma...
Proceedings of the NODALIDA 2009 workshop WordNets and other Lexical Semantic Resources — between L...
Distinguishing antonyms from synonyms is a key challenge for many NLP applications focused on the le...
Distributional models of lexical semantics identify semantically similar words through contextual si...
International audienceRecognizing and distinguishing antonyms from other types of semantic relations...
The traditional statistical approach in synonyms extraction is time-consuming. It is necessary to de...
Current synonym extraction methods work in a “closed ” way. Given the problem word and set of target...
We deal with the issue of automatic discovery of similar words (synonyms and near-synonyms) from dif...
In this paper, we describe a method of automatic extraction of knowledge patterns using in term desc...
We describe a method to automatically extract hyponyms from Japanese newspapers. First, we discover ...
Abstract Automatic extraction of semantic information, if successful, offers to languages with littl...
Using small sets of adjectival seed antonym pairs, we automatically find patterns where these pairs ...
Semantic browser technologies such as Magpie require the construction of lexicons to support the id...
Using small sets of adjectival seed antonym pairs, we automatically find patterns where these pairs ...
A lot of lexical research conducted by experts use existing words in the English Thesaurus. However,...