Coreference resolution aims at resolving repeated references to an object in a document
and forms a core component of natural language processing (NLP) research. When used as …

The research focus of computational coreference resolution has exhibited a shift from
heuristic approaches to machine learning approaches in the past decade. This paper …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Teaching computers to solve language problems is one of the major challengesof natural
language processing. There is a large amount of interesting researchdevoted to this field …

Ambiguity is a pervasive issue in natural-language requirements. A common source of
ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering …

The task of resolving repeated objects in natural languages is known as coreference
resolution, and it is an important part of modern natural language processing. It is classified …

What moves stock prices? Prior literature concludes that the revelation of private information
through trading, and not public news, is the primary driver. We revisit the question by using …

In this paper we propose a competition learning approach to coreference resolution.
Traditionally, supervised machine learning approaches adopt the singlecandidate model …

Abstract Entity Coreference Resolution is the task of resolving all mentions in a document
that refer to the same real world entity and is considered as one of the most difficult tasks in …

Natural Language Processing (NLP) is a scientific discipline which is found at the
intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology …