Noun Phrase Coreference as Clustering
نویسندگان
چکیده
This paper introduces a new, unsupervised algorithm for noun phrase coreference resolution. It differs from existing methods in that it views coreference resolution as a clustering task. In an evaluation on the MUC-6 coreference resolution corpus, the algorithm achieves an F-measure of 53.6%, placing it firmly between the worst (40%) and best (65%) systems in the MUC-6 evaluation. More importantly, the clustering approach outperforms the only MUC-6 system to treat coreference resolution as a learning problem. The clustering algorithm appears to provide a flexible mechanism for coordinating the application of context-independent and context-dependent constraints and preferences for accurate partitioning of noun phrases into coreference equivalence classes.
منابع مشابه
Machine Learning Approaches to Coreference Resolution
This paper introduces three machine learning approaches to noun phrase coreference resolution. The first of them gives a view of coreference resolution as a clustering task. The second one applies a noun phrase coreference system based on decision tree induction and the last one experiments with using the Bell tree to represent the search space of the coreference resolution problem. The knowled...
متن کاملA Clustering Approach for Unsupervised Chinese Coreference Resolution
Coreference resolution is the process of identifying expressions that refer to the same entity. This paper presents a clustering algorithm for unsupervised Chinese coreference resolution. We investigate why Chinese coreference is hard and demonstrate that techniques used in coreference resolution for English can be extended to Chinese. The proposed system exploits clustering as it has advantage...
متن کاملChinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
Pronoun resolution and common noun phrase resolution are the two most challenging subtasks of coreference resolution. While a lot of work has focused on pronoun resolution, common noun phrase resolution has almost always been tackled in the context of the larger coreference resolution task. In fact, to our knowledge, there has been no attempt to address Chinese common noun phrase resolution as ...
متن کاملGlobal Learning of Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
Knowledge of noun phrase anaphoricity might be profitably exploited in coreference resolution to bypass the resolution of non-anaphoric noun phrases. However, it is surprising to notice that recent attempts to incorporate automatically acquired anaphoricity information into coreference resolution have been somewhat disappointing. This paper employs a global learning method in determining the an...
متن کاملCoreference Resolution: A Survey
Coreference resolution is the task of resolving noun phrases to the entities that they refer to. Much work has been done in the past in this area and the related area of anaphora resolution. In this paper, we present a literature survey that is divided into two broad categories. Discussed first are papers that are linguistically motivated based on syntax, focus and Centering theory. We then dis...
متن کامل