We present an algorithm for pronounanaphora (in English) that uses Expectation
Maximization (EM) to learn virtually all of its parameters in an unsupervised fashion. While …

Coreference resolution is key to many natural language processing tasks and yet has been
relatively unexplored in Sign Language Processing. In signed languages, space is primarily …

These We mean by the clustering is a technique to divide the text into clusters of words, so
that words in the same cluster are similar to each other. As humans we can have significant …

Multigraph Clustering for Unsupervised Coreference Resolution Page 1 Proceedings of the ACL
Student Research Workshop, pages 81–88, Sofia, Bulgaria, August 4-9 2013. c 2013 …

Large document collections, such as those delivered by Internet search engines, are difficult
and time-consuming for users to read and analyse. The detection of common and distinctive …

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 …

Coreference resolution is the process of determining the entity that noun phrases refer to. A
great deal of research has been done on this task in English, using approaches ranging …

Text mining discover and extract useful information from documents, whenever increase the
size and number documents leads to redouble features. The huge features for the …

In this paper we present a novel method for unsupervised coreference resolution. We
introduce a precision-oriented inference method that scores a candidate entity of a mention …

Text-based tools, such as instant messaging, forums or blogs enable online collaboration in
communities all over the world. Data sources that are more conversational in nature tend to …