Papers for Relevance Assessment by Jonathan Ginzburg

Research Question: Are the resolution processes associated with non-sentential utterances local or potentially unbounded?

Paper ID
(Link to PDF)

Title

Author(s)

P03-1031

Corpus-Based Discourse Understanding in Spoken Dialogue Systems

Ryuichiro Higashinaka; Mikio Nakano; Kiyoaki Aikawa

P96-1057

Processing Complex Sentences in the Centering Framework

Michael Strube

schlangen

Causes and Strategies for Requesting Clarification in Dialogue

David Schlangen

J93-3003

Empirical Studies on the Disambiguation of Cue Phrases

Julia Hirschberg; Diane Litman

185_pdf_2-col

Multi-Criteria-based Active Learning for Named Entity Recognition

Dan Shen, Jie Zhang, Jian Su, Guodong Zhou and Chew-Lim Tan

P05-1031

Towards Finding and Fixing Fragments—Using ML to Identify Non-Sentential Utterances and their Antecedents in Multi-Party Dialogue

David Schlangen

P87-1017

CONTEXT-FREENESS OF THE LANGUAGE ACCEPTED BY MARCUS' PARSER

R Nozohoor-Farshi

C02-1066

Guaranteeing Parsing Termination of Unification Grammars

Efrat Jaeger; Nissim Francez; Shuly Wintner

W02-0203

Non-Sentential Utterances in Dialogue: A: Corpus-Based Study

Raquel Fernandez; Jonathan Ginzburg

C90-2044

Disambiguating Cue Phrases in Text and Speech

Diane Litman; Julia Hirschberg

W02-0217

Probabilistic Dialogue Modelling

Oliver Lemon; Prashant Parikh; Stanley Peters

E87-1035

DETERMINISTIC PARSING AND UNBOUNDED DEPENDENCIES

Ted Briscoe

P97-1049

Hierarchical Non-Emitting Markov Models

Eric Sven Ristad; Robert G. Thomas

W03-w6_eacl03black.local

Learning to classify utterances in a task-oriented dialogue

W. Black, P. Thompson, A. Funk and A. Conroy

C02-1135

Non-Sentential Utterances: Grammar and Dialogue Dynamics in Corpus Annotation

Raquel Fernandez; Jonathan Ginzburg