Abstract. In most applications of paraphrasing, contextual information should be considered since a word may have different paraphrases in different contexts. This paper presents a method that automatically acquires lexical context-specific paraphrases from the web. The method includes two main stages, candidate paraphrase extraction and paraphrase validation. Evaluations were conducted on a news title corpus whereby the context-specific paraphrasing method was compared with the Chinese synonymous thesaurus. Results show that the precision of our method is above 60 % and the recall is above 55%, which outperforms the thesaurus significantly
Automatic paraphrase discovery is an important task in natural language processing. Many systems use...
Abstract In this paper, we propose a semantic-based paraphrase identification approach. The core co...
Paraphrase detection is commonly used in various research areas related to the natural language proc...
Abstract: Lexical paraphrasing is the task of extracting word-level paraphrases. Lexical paraphrase...
Paraphrase extraction plays an increasingly important role in language-related research and applicat...
We propose an automatic method of extracting paraphrases from definition sentences, which are also a...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
Paraphrase detection can be seen as the task of aligning sentences that convey the same information ...
Automatic acquisition of paraphrase knowledge for content words is proposed. Using only a non-parall...
Thesis (Master's)--University of Washington, 2014The goal of synonym extraction is to automatically ...
Natural language processing (NLP) refers to the interaction that happens between humans and computer...
Automatic paraphrase discovery is an important task in natural language processing. Many systems use...
Abstract In this paper, we propose a semantic-based paraphrase identification approach. The core co...
Paraphrase detection is commonly used in various research areas related to the natural language proc...
Abstract: Lexical paraphrasing is the task of extracting word-level paraphrases. Lexical paraphrase...
Paraphrase extraction plays an increasingly important role in language-related research and applicat...
We propose an automatic method of extracting paraphrases from definition sentences, which are also a...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
International audienceIn this paper, we investigate the impact of context for the paraphrase ranking...
Paraphrase detection can be seen as the task of aligning sentences that convey the same information ...
Automatic acquisition of paraphrase knowledge for content words is proposed. Using only a non-parall...
Thesis (Master's)--University of Washington, 2014The goal of synonym extraction is to automatically ...
Natural language processing (NLP) refers to the interaction that happens between humans and computer...
Automatic paraphrase discovery is an important task in natural language processing. Many systems use...
Abstract In this paper, we propose a semantic-based paraphrase identification approach. The core co...
Paraphrase detection is commonly used in various research areas related to the natural language proc...