The Technologies of Anaphora Resolution in Text Natural Language Processing;

On study of anaphora resolution of Chinese character;

However,anaphora resolution of person pronouns has been a main problem for students to deal with.

Fuzziness is a common language phenomenon,so semantics of reference pro-forms also has the feature of fuzziness.

In view of this,the present paper first introduces the main ideas and principles of Relevance Theory,and then takes advantage of them to analyze tentatively why the addresser selects pronoun reference as the cohesive device of utterance and how the addressee achieves the assignment of pronoun reference,explaining pronoun refe.

The aim of this paper is to discover the reference of topicalized personal dual gender nouns.

This paper presents a machine learning approach to anaphora resolution with special focus on the distance information between the anaphor and the antecedent candidate.

Abstract Anaphora resolution is a key step in Natural Language Processing (NLP) and a kernel task in many language engineering applications.

With the increasing development of dealing with the discourses, anaphora resolution shows the unprecedented importance.

Research on Feature-based Coreference Resolution;

Research of Coreference Resolution with Semantic Information;

Facing the fact that the Chinese training corpus for coreference resolution is heavily lacking,this paper presents a new unsupervised clustering algorithm for noun phrase coreference resolution.

According to the research, it is found that a kind of anaphora, meta-anaphora, which represents the form of sentence, paragraph or discourse (not the subject or object of the sentence), plays an important role in discourse.