Papers for Relevance Assessment by Gideon Mann

Research Question: How to build a fact extraction system from examples but no annotated data?

Paper ID
(Link to PDF)

Title

Author(s)

W03-0506

A Study for Document Summarization Based on Personal Annotation

Haiqin Zhang; Zheng Chen; Wei-ying Ma; Qingsheng Cai

W97-1002

Relational Learning of Pattern-Match Rules for Information Extraction

Mary Elaine Califf; Raymond J. Mooney

W98-1106

An Empirical Approach to Conceptual Case Frame Acquisition

Ellen Riloff; Mark Schmelzenbach

C00-2136

Automatic Acquisition of Domain Knowledge for Information Extraction

Roman Yangarber; Ralph Grishman; Pasi Tapanainen; Silja Huttunen

P03-1029

An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition

Kiyoshi Sudo; Satoshi Sekine; Ralph Grishman

W95-0112

Automatically Acquiring Conceptual Patterns without an Annotated Corpus

Ellen Riloff; Jay Shoen

W01-1315

The Annotation Of Temporal Information In Natural Language Sentences

Katz, Graham; Arosio, Fabrizio

W00-0723

A Default First Order Family Weight Determination Procedure for WPDV Models

Hans van Halteren

W03-1507

Multilingual Resources for Entity Extraction

Stephanie Strassel; Alexis Mitchell

W03-0404

Learning subjective nouns using extraction pattern bootstrapping

Ellen Riloff; Janyce Wiebe; Theresa Wilson

W02-1814

Extracting Pronunciation-translated Names from Chinese Texts using Bootstrapping Approach

Jing Xiao; Jimin Liu; Tat-Seng Chua

M98-0013

TASC: Description of the TASC System Used for MUC-7

T. Patten, B. Hoffman, M. Thurn (TASC)

W02-1028

A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts

Michael Thelen; Ellen Riloff

A00-1039

Unsupervised Discovery of Scenario-Level Patterns for Information Extraction

Roman Yangarber; Ralph Grishman; Pasi Tapanainen

C00-2101

Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP

Yutaka Sasaki; Yoshihiro Matsuo