Semantic Role Labeling for Coreference Resolution
نویسندگان
چکیده
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
منابع مشابه
Exploiting Zero Pronouns to Improve Chinese Coreference Resolution
Coreference resolution plays a critical role in discourse analysis. This paper focuses on exploiting zero pronouns to improve Chinese coreference resolution. In particular, a simplified semantic role labeling framework is proposed to identify clauses and to detect zero pronouns effectively, and two effective methods (refining syntactic parser and refining learning example generation) are employ...
متن کاملCorpus based coreference resolution for Farsi text
"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...
متن کاملLarge Corpus-based Semantic Feature Extraction for Pronoun Coreference
Semantic information is a very important factor in coreference resolution. The combination of large corpora and ‘deep’ analysis procedures has made it possible to acquire a range of semantic information and apply it to this task. In this paper, we generate two statistically-based semantic features from a large corpus and measure their influence on pronoun coreference. One is contextual compatib...
متن کاملExploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
In this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. These features represent knowledge mined from WordNet and Wikipedia, as well as information about semantic role labels. We show that semantic features indeed improve the performance on different referring expression types such as ...
متن کاملEvent-based Textual Document Retrieval by Using Semantic Role Labeling and Coreference Resolution
Conventional keyword-based indexing and retrieval techniques for textual documents lack of precision when a long query string is employed in order to discover documents containing a specific “event”, such as “Einstein discovered relativity”. This paper proposes a framework to resolve such a problem. In our proposal, we apply semantic role labeling and coreference techniques in order to parse ea...
متن کامل