Disambiguating named entities in naturallanguage text maps mentions of ambiguous names
onto canonical entities like people or places, registered in a knowledge base such as …

Disambiguating concepts and entities in a context sensitive way is a fundamental problem in
natural language processing. The comprehensiveness of Wikipedia has made the online …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Abstract Information extraction (IE) is the task of automatically extracting structured
information from unstructured/semi-structured machine-readable documents. Among various …

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

Abstract Information Extraction (IE) techniques aim to extract the names of entities and
objects from text and to identify the roles that they play in event descriptions. IE systems …

We introduce a novel iterative approach for event coreference resolution that gradually
builds event clusters by exploiting inter-dependencies among event mentions within the …

We present Plato, a probabilistic model for entity resolution that includes a novel approach
for handling noisy or uninformative features, and supplements labeled training data derived …

This paper describes our approach to the 2011 Text Analysis Conference (TAC) Knowledge
Base Population (KBP) cross-lingual entity linking problem. We recast the problem of entity …