Papers for Relevance Assessment by Art Munson

Research Question: Can a computer find noun phrase coreference chains in a document?

Paper ID
(Link to PDF)

Title

Author(s)

W99-0212

Using Coreference for Question Answering

Thomas S. Morton

I05-2040

Transformation Based Chinese Entity Detection and Tracking

Yaqian Zhou; Changning Huang; Jianfeng Gao; Lide Wu

P03-1023

Coreference Resolution Using Competition Learning Approach

Xiaofeng Yang; Guodong Zhou; Jian Su; Chew Lim Tan

W02-1008

Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules

Vincent Ng; Claire Cardie

W99-0201

Cross-Document Event Coreference: Annotations, Experiments, and Observations

Amit Bagga; Breck Baldwin

162_pdf_2-col

Improving Pronoun Resolution by Incorporating Coreferential Information of Candidates

Xiaofeng Yang, Jian Su, Guodong Zhou and Chew-Lim Tan

X98-1010

COREFERENCE RESOLUTION STRATEGIES FROM AN APPLICATION PERSPECTIVE

Lois C. Childs; David Dadd; Norris Heintzelman

134_Paper

Unsupervised Learning of Contextual Role Knowledge for Coreference Resolution

David Bean and Ellen Riloff

W99-0104

Knowledge-Lean Coreference Resolution and its Relation to Textual Cohesion and Coherence

Sanda M. Harabagiu; Steven J. Maiorano

W99-0634

Corpus-Based Learning for Noun Phrase Coreference Resolution

Wee Meng Soon; Hwee Tou Ng; Chung Yong Lim

W98-0203

Coreference as the Foundations for Link Analysis over Free Text Databases

Breck Baldwin

W99-0208

Coreference resolution in dialogues in English and Portuguese

Marco Rocha

M95-1015

UNIVERSITY OF PENNSYLVANIA:DESCRIPTION OF THE UNIVERSITY OF PENNSYLVANIASYSTEM USED FOR MUC-6

Breck Baldwin; Jeff Reynar; Mike Collins; Jason Eisner; Adwait Ratnaparkhi; Joseph Rosenzweig; Anoop Sarkar; Srinivas

W99-0211

Using Coreference Chains for Text Summarization

Saliha Azzam; Kevin Humphreys; Robert Gaizauskas

328_pdf_2-col

Learning Noun Phrase Anaphoricity to Improve Conference Resolution: Issues in Representation and Optimization

Vincent Ng