Entity disambiguation method and system

Abstract

The invention discloses an entity disambiguation method and system. The entity disambiguation method comprises the following steps: determining a plurality of mutually independent candidate entities to form a candidate entity set based on a to-be-disambiguated reference; based on a hyperlink-anchor text in the network encyclopedia corpus, obtaining reference-candidate entity pair information corresponding to each candidate entity as training data; conducting semantic coding on a reference context and an entity description text through a bidirectional long-short-term memory network, extractingand processing key semantic information in the reference context and the entity description text through a multi-angle attention mechanism, and then determining a disambiguation result from candidateentities; extracting key semantic information of a text from different angles, more disambiguation criteria can be found from the text, and disambiguation precision is improved. By extracting and emphasizing the information with high cross correlation in the text, the mutual attention layer can enrich the semantic features of the representation vectors from different angles, and the accuracy and disambiguation performance of the reference and candidate entity similarity calculation are further improved.

Description

technical field

[0001] The invention belongs to the technical field of deep learning and natural language processing, and in particular relates to an entity disambiguation method. Background technique

[0002] With the continuous development of computer science and Internet technology, the amount of information in human society, especially in the Internet, has shown explosive growth, and a large amount of data is stored in network text and electronic documents in the form of natural language. Due to the ambiguity and ambiguity of natural language, how to accurately extract target information from massive text data and understand and process text from the semantic level is a major challenge in the field of natural language processing.

[0003] Given a piece of text and reference items to be disambiguated in it, the task of entity disambiguation is to link each reference to the correct entity in the knowledge base to eliminate its ambiguity. Entity disambiguation converts sem...

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