Papers for Relevance Assessment by Eric Garbin

Research Question: identifying features for toponym classifier (sub-problem but also more general)

Reformulation: identifying textual features for a toponym classifier

Paper ID
(Link to PDF)

Title

Author(s)

W94-0315

Using a Textual Representation Level Component in the Context of Discourse and Dialogue Generation

Franck Panaget

I05-3015

Some Studies on Chinese Domain Knowledge Dictionary and Its Application to Text Classification

Jingbo Zhu; Wenliang Chen

P03-1008

Syntactic Features and Word Similarity for Supervised Metonymy Resolution

Malvina Nissim; Katja Markert

C02-1062

Inferring Knowledge from a Large Semantic Network

Dominique Dutoit; Thierry Poibeau

57-873

A Formal Model for Information Selection in Multi-Sentence Text Extraction

Elena Filatova and Vasileios Hatzivassiloglou

Filatova

Event-Based Extractive Summarization

Elena Filatova and Vasileios Hatzivassiloglou

niu2

Optimizing feature set for Chinese Word Sense Disambiguation

Zheng-Yu Niu, Dong-Hong Ji and Chew-Lim Tan

P01-1005

Scaling to Very Very Large Corpora for Natural Language Disambiguation

Michele Banko; Eric Brill

C94-1091

CLASSIFIER ASSIGNMENT BY CORPUS-BASED APPROACH

Virach Sornlertlamvanich; Wantanee Pantachat; Surapant Meknavin

W02-0811

Combining Heterogeneous Classifiers for Word Sense Disambiguation

Dan Klein; Kristina Toutanova; H. Tolga Ilhan; Sepandar D. Kamvar; Christopher D. Manning

W03-0102

Pointing to places in a deductive geospatial theory

Richard Waldinger; Peter Jarvis; Jennifer Dungan

W03-1316

Selecting Text Features for Gene Name Classification: from Documents to Terms

Goran Nenadic; Simon Rice; Irena Spasic; Sophia Ananiadou; Benjamin Stapley

I05-4009

Question Classification using Multiple Classifiers

Li Xin; Huang Xuan-Jing; Wu Li-de

22-GinaLevow-2col

Combining Prosodic and Text Features for Segmentation of Mandarin Broadcast News

Gina-Anne Levow

C02-2013

SOAT: A Semi-Automatic Domain Ontology Acquisition Tool from Chinese Corpus

Shih-Hung Wu; Wen-Lian Hsu