Cross-document coreference resolution is the task of grou** the entity mentions in a
collection of documents into sets that each represent a distinct entity. It is central to …

Cross-document coreference, the task of grou** all the mentions of each entity in a
document collection, arises in information extraction and automated knowledge base …

This paper proposes a method for estimating the ego-motion of the vehicle and for detecting
moving objects on roads by using a vehicle mounted monocular camera. There are two …

Cross-document coreference, the problem of resolving entity mentions across multi-
document collections, is crucial to automated knowledge base construction and data mining …

Abstract The Person Cross Document Coreference systems depend on the context for
making decisions on the possible coreferences between person name mentions. The …

In this paper we present a new algorithm for the Person Cross Document Coreference task.
We show that accurate results require a way to adapt the parameters of the similarity …

The accuracy of a Cross Document Coreference system depends on the amount of context
available, which is a parameter that varies greatly from corpora to corpora. This paper …

In reality, different persons often have the same person name. The Person Cross Document
Co-reference Resolution is a task, which requires that all and only the textual mentions of an …

Abstract The Textual Entailment task has become influential in NLP and many researchers
have become interested in applying it to other tasks. However, the two major issues …