In this paper, we address the task of calculating mono- and bilingual semantic similarity. We introduce a method that, in order to arrive at a measure of semantic relatedness, exploits the information implicitly contained in bilingual dictionaries. Through experiments we show that our method performs well, with a performance comparable to approaches based on hierarchical knowledge bases and corpus statistics. The advantage of our approach is that it solely relies on easily available bilingual dictionaries and that it is capable of computing mono- and bilingual semantic relatedness at the same time
Semantic relatedness measures are widely employed today to estimate the strength the semantic relati...
The way of mining comparable corpora and the strategy of dictionary extraction are two essential ele...
Despite being one of the most popular tasks in lexical semantics, word similar-ity has often been li...
We propose a new approach to identifying semantically similar words across languages. The approach i...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
We propose a novel context heterogeneity similarity measure between words and their translations in ...
Despite being one of the most popular tasks in lexical semantics, word similarity has often been lim...
Abstract. Semantic relatedness refers to the degree to which two concepts or words are related. Huma...
Bilingual dictionaries are the key component of the cross-lingual similarity estimation methods. Usu...
This chapter introduces a strategy for the automatic extraction of multilingual collocation equivale...
This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedn...
gelbukh | @ |gelbukh.com Abstract. We propose a procedure for measuring semantic relatedness of two ...
Semantic similarity between words is becoming a generic problem for many applications of computation...
Semantic similarity is an essential component of many Natural Language Processing applications. Howe...
This paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which me...
Semantic relatedness measures are widely employed today to estimate the strength the semantic relati...
The way of mining comparable corpora and the strategy of dictionary extraction are two essential ele...
Despite being one of the most popular tasks in lexical semantics, word similar-ity has often been li...
We propose a new approach to identifying semantically similar words across languages. The approach i...
We present a knowledge-rich approach to computing semantic relatedness which exploits the joint cont...
We propose a novel context heterogeneity similarity measure between words and their translations in ...
Despite being one of the most popular tasks in lexical semantics, word similarity has often been lim...
Abstract. Semantic relatedness refers to the degree to which two concepts or words are related. Huma...
Bilingual dictionaries are the key component of the cross-lingual similarity estimation methods. Usu...
This chapter introduces a strategy for the automatic extraction of multilingual collocation equivale...
This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedn...
gelbukh | @ |gelbukh.com Abstract. We propose a procedure for measuring semantic relatedness of two ...
Semantic similarity between words is becoming a generic problem for many applications of computation...
Semantic similarity is an essential component of many Natural Language Processing applications. Howe...
This paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which me...
Semantic relatedness measures are widely employed today to estimate the strength the semantic relati...
The way of mining comparable corpora and the strategy of dictionary extraction are two essential ele...
Despite being one of the most popular tasks in lexical semantics, word similar-ity has often been li...