Papers for Relevance Assessment by Benoit Favre

Research Question: how to jointly optimize the ASR and the NER models ?

Paper ID
(Link to PDF)

Title

Author(s)

W00-0602

Some Challenges of Developing Fully-Automated Systems for Taking Audio Comprehension Exams

David D. Palmer

hema

Using Soundex Codes for Indexing Names in ASR Documents

Hema Raghavan and James Allan

P05-1045

Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling

Jenny Rose Finkel; Trond Grenager; Christopher Manning

H05-1107

A Backoff Model for Bootstrapping Resources for Non-English Languages

Chenhai Xi; Rebecca Hwa

167_Paper

Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization

Regina Barzilay and Lillian Lee

H01-1034

Improving Information Extraction by Modeling Errors in Speech Recognizer Output

D.D. Palmer; M. Ostendorf

168-209

A Unified Approach in Speech-to-Speech Translation: Integrating Features of Speech recognition and Machine Translation

Ruiqiang Zhang, Genichiro Kikui, Hirofumi Yamamoto, Frank Soong, Taro Watnabe and Wai Kit Lo

W03-0434

A Robust Risk Minimization based Named Entity Recognition System

Tong Zhang; David Johnson

murat1

General Indexation of Weighted Automata - Application to Spoken Utterance Retrieval

Cyril Allauzen, Mehryar Mohri and Murat Saraclar

P05-1056

Using Conditional Random Fields for Sentence Boundary Detection in Speech

Yang Liu; Andreas Stolcke; Elizabeth Shriberg; Mary Harper

W03-1019

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences

Yasemin Altun; Mark Johnson; Thomas Hofmann

W02-1002

Conditional Structure versus Conditional Estimation in NLP Models

Dan Klein; Christopher D. Manning

158-653

Efficient Confirmation Strategy for Large-scale Text Retrieval Systems with Spoken Dialogue Interface

Kazunori Komatani, Teruhisa Misu, Tatsuya Kawahara and Hiroshi G. Okuno

P02-1038

Discriminative Training and Maximum Entropy Models for Statistical Machine Translation

Franz Josef Och; Hermann Ney

P05-1001

A High-Performance Semi-Supervised Learning Method for Text Chunking

Rie Ando; Tong Zhang