Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

Abstract: Disambiguation in mention detection. The method includes: determining at least one location in a text at which a target surface form in the text appears; obtaining an overall word-bag context of the target surface form in the text, the word-bag context at each of the at least one location including words within a predetermined neighborhood of the location; obtaining an overall resource context of the target surface form in the text, the resource context at each of the at least one location including resources corresponding to a further surface form within a predetermined neighborhood of the location; and determining a similarity between the target surface form and a candidate resource for the target surface form based on the overall word-bag context and the overall resource context. A system for disambiguation in mention detection is also provided.

Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

Abstract: The present invention relates to text analysis, and discloses a text representation method. Aspects include identifying concepts in the text by using a knowledge base and determining relationship between the concepts and generating a concept graph by using the relationship between the concepts. Aspects also include determining connected components of the concept graph; calculating weight of the connected components and determining the concepts representing the text according to the weight of the connected components. By using correlation between concepts in a knowledge base and according to connected component theory of a graph, finds out a set of concepts which best represents subject of the text, and removes concepts irrelevant to the subject, thus improving accuracy of text representation and reducing noise.

Abstract: Disambiguation in mention detection. The method includes: determining at least one location in a text at which a target surface form in the text appears; obtaining an overall word-bag context of the target surface form in the text, the word-bag context at each of the at least one location including words within a predetermined neighborhood of the location; obtaining an overall resource context of the target surface form in the text, the resource context at each of the at least one location including resources corresponding to a further surface form within a predetermined neighborhood of the location; and determining a similarity between the target surface form and a candidate resource for the target surface form based on the overall word-bag context and the overall resource context. A system for disambiguation in mention detection is also provided.