Papers for Relevance Assessment by Benoit Favre

Research Question: How can one extract named entities from spoken content ?

Paper ID
(Link to PDF)

Title

Author(s)

P02-1061

Teaching a Weaker Classifier: Named Entity Recognition on Upper Case Text

Hai Leong Chieu; Hwee Tou Ng

W03-1508

Transliteration of Proper Names in Cross-Lingual Information Retrieval

Paola Virga; Sanjeev Khudanpur

P03-1032

Extracting Key Semantic Terms from Chinese Speech Query for Web Searches

Gang Wang; Tat-Seng Chua; Yong-Cheng Wang

W03-1110

Issues in Pre- and Post-translation Document Expansion: Untranslatable Cognates and Missegmented Words

Gina-Anne Levow

P03-1020

tRuEcasIng

Lucian Vlad Lita; Abe Ittycheriah; Salim Roukos; Nanda Kambhatla

W03-1503

Construction and Analysis of Japanese-English Broadcast News Corpus with Named Entity Tags

Tadashi Kumano; Hideki Kashioka; Hideki Tanaka; Takahiro Fukusima

H01-1034

Improving Information Extraction by Modeling Errors in Speech Recognizer Output

D.D. Palmer; M. Ostendorf

W02-1041

Information Extraction from Voicemail Transcripts

Martin Jansche; Steven Abney

P01-1039

Information Extraction from Voicemail

Jing Huang; Geoffrey Zweig; Mukund Padmanabhan

H05-1057

Matching Inconsistently Spelled Names in Automatic Speech Recognizer Output for Information Retrieval

Hema Raghavan; James Allan

A00-1040

Using Corpus-derived Name Lists for Named Entity Recognition

Mark Stevenson; Robert Gaizauskas

W03-1211

Question Answering on a Case Insensitive Corpus

Wei Li; Rohini Srihari; Cheng Niu; Xiaoge Li

W00-1210

A Trainable Method for Extracting Chinese Entity Names and Their Relations

Yimin Zhang; Joe F Zhou

W01-1002

Human Language Technologies for Knowledge Management

Maybury, Mark

C00-2102

Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition

Manabu Sassano; Takehito Utsuro