Add to ORKGThis paper descr ibes a method of classifying semantically similar nouns. The approach is based on the "distr ibutional hypothesis". Our approach is characterized by distinguishing among senses of the same word in order to resolve the "polysemy " issue. The classification result demonstrates that our approach is successful. 1
We describe various syntactic and semantic conditions for finding abstract nouns which refer to conc...
This paper presents a new method for learning case frames of Japanese polysemous verbs from a roughl...
We address the problem of automatic classification of associative and semantic relations between wor...
International audienceIn this paper we report the results of four experiments conducted to extract l...
This paper is the ¯rst of a series of papers dealing with the automatic classi¯cation of verbs and t...
In this paper, we present a two-stage ap-proach to acquire Japanese unknown mor-phemes from text wit...
One of the purposes of this research is to formalize similarity among nouns by using attributes asso...
Abstract. The paper introduces a method for interpreting novel noun compounds with semantic relation...
This paper proposes a surrounding word sense model (SWSM) that uses the distri-bution of word senses...
Abstract. In order to automatically identify noun synonyms, we propose a new idea which opposes clas...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
In Japanese, as in other classifier languages like Chinese and Malay, nu-merals do not directly quan...
The work we present here addresses cue-based noun classification in English and Spanish. Its main ob...
Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, cel...
Abstract: We propose a Multi-classifier Compatible Computational Model (MCCM) for Chinese noun sense...
We describe various syntactic and semantic conditions for finding abstract nouns which refer to conc...
This paper presents a new method for learning case frames of Japanese polysemous verbs from a roughl...
We address the problem of automatic classification of associative and semantic relations between wor...
International audienceIn this paper we report the results of four experiments conducted to extract l...
This paper is the ¯rst of a series of papers dealing with the automatic classi¯cation of verbs and t...
In this paper, we present a two-stage ap-proach to acquire Japanese unknown mor-phemes from text wit...
One of the purposes of this research is to formalize similarity among nouns by using attributes asso...
Abstract. The paper introduces a method for interpreting novel noun compounds with semantic relation...
This paper proposes a surrounding word sense model (SWSM) that uses the distri-bution of word senses...
Abstract. In order to automatically identify noun synonyms, we propose a new idea which opposes clas...
Polysemy in WordNet corresponds to various kinds of linguistic phenomena that can be grouped into fi...
In Japanese, as in other classifier languages like Chinese and Malay, nu-merals do not directly quan...
The work we present here addresses cue-based noun classification in English and Spanish. Its main ob...
Comunicació presentada a: 1st Workshop on Vector Space Modeling for Natural Language Processing, cel...
Abstract: We propose a Multi-classifier Compatible Computational Model (MCCM) for Chinese noun sense...
We describe various syntactic and semantic conditions for finding abstract nouns which refer to conc...
This paper presents a new method for learning case frames of Japanese polysemous verbs from a roughl...
We address the problem of automatic classification of associative and semantic relations between wor...