Paper ID
(Link to PDF)

Title

Author(s)

W97-0304

Text Segmentation Using Exponential Models

Doug Beeferman; Adam Berger; John Lafferty

W00-0729

Use of Support Vector Learning for Chunk Identification

Taku Kudoh; Yuji Matsumoto

P97-1041

A Trainable Rule-Based Algorithm for Word Segmentation

David D. Palmer

81-833

Chinese Segmentation and New Word Detection using Conditional Random Fields

Fuchun Peng, Fangfang Feng and Andrew McCallum

133_Paper

Shallow Semantic Parsing using Support Vector Machines

Sameer S Pradhan, Wayne H Ward, Kadri Hacioglu, James H Martin and Dan Jurafsky

W03-1504

Low-cost Named Entity Classification for Catalan: Exploiting Multilingual Resources and Unlabeled Data

Lluis Marquez; Adriq  de Gispert; Xavier Carreras; Lluis Padro

W98-1123

Linear Segmentation and Segment Significance

Min-Yen Kan; Judith L. Klavans; Kathleen R. McKeown

W99-0702

Experiments in Unsupervised Entropy-Based Corpus Segmentation

Andrd Kemp

W03-1703

Utterance Segmentation Using Combined Approach Based on Bi-directional N-gram and Maximum Entropy

Ding Liu; Chengqing Zong

C96-2184

Segmentation Standard for Chinese Natural Language Processing

Chu-Ren Huang; Keh-jiann Chen; Li-Li Chang

H92-1038

Recognition Using Classification and Segmentation Scoring

Owen Kimball; Mari Ostendorf; Robin Rohlicek

W00-1321

Reducing Parsing Complexity by Intra-Sentence Segmentation based on Maximum Entropy Model

Sung Dong Kim; Byoung-Tak Zhang; Yung Tack Kim

W03-1106

Text Classification in Asian Languages without Word Segmentation

Fuchun Peng; Xiangji Huang; Dale Schuurmans; Shaojun Wang

W00-1303

Japanese Dependency Structure Analysis Based on Support Vector Machines

Taku Kudo; Yuji Matsumoto

P03-2031

Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web

Joohui An; Seungwoo Lee; Gary Geunbae Lee