Papers for Relevance Assessment by Josef Steinberger

Research Question: Evaluation of text summarization and anaphora resolution.

Paper ID
(Link to PDF)

Title

Author(s)

J01-4003

A Corpus-Based Evaluation of Centering and Pronoun Resolution

Joel R. Tetreault

Santos

Automatic Evaluation of Summaries Using Document Graphs

Eugen Santos Jr., Ahmed A. Mohamed and Qunhua Zhao

W03-0507

Text Summarization Challenge 2 - Text summarization evaluation at NTCIR Workshop 3

Manabu Okumura; Takahiro Fukusima; Hidetsugu Nanba

A00-2024

Cut and Paste Based Text Summarization

Hongyan Jing; Kathleen R. McKeown

J01-4005

An Algorithm for Anaphora Resolution in Spanish Texts

Manuel Palomar; Lidia Moreno; Jesus Peral; Rafael Munoz; Antonio Ferrandez; Patricio Martinez-Barco; Maximiliano Saiz-Noeda

I05-2047

Automated Text Summarization

Chin-Yew LIN

Harman

The Effects of Human Variation in DUC Summarization Evaluation

Donna Harman and Paul Over

J01-4006

Squibs and Discussions: The Uncommon Denominator: A Proposal for Consistent Reporting of Pronoun Resolution Results

Donna K. Byron

X98-1024

Automatic Text Summarization in TIPSTER

Therese Firmin; lnderjeet Mani

W97-0706

A Proposal for Task-based Evaluation of Text Summarization Systems

Therese Firmin Hand

Lin

ROUGE: A Package for Automatic Evaluation of Summaries

Chin-Yew Lin

E99-1011

The TIPSTER SUMMAC Text Summarization Evaluation

Inderjeet Mani; David House; Gary Klein; Lynette Hirschman; Therese Firmin; Beth Sundheim

J01-4002

Design and Enhanced Evaluation of a Robust Anaphor Resolution Algorithm

Roland Stuckardt

J01-4004

A Machine Learning Approach to Coreference Resolution of Noun Phrases

Wee Meng Soon; Daniel Chung Yong Lim; Hwee Tou Ng

J01-4001

Introduction to the Special Issue on Computational Anaphora Resolution

Ruslan Mitkov; Shalom Lappin; Branimir Boguraev

P98-2222

Using Leading Text for News Summaries: Evaluation Results and Implications for Commercial Summarization Applications

Mark Wasson

Hori

Evaluation Measures Considering Sentence Concatenation for Automatic Summarization by Sentence or Word Extraction

Chiori Hori, Tsutomu Hirao and Hideki Isozaki