Papers for Relevance Assessment by Miles Osborne

Research Question: Is it possible to select a highly informative number of bits when creating the codes?

Reformulation: Is it possible to select a highly informative number of bits when creating error-correcting codes?

Paper ID
(Link to PDF)

Title

Author(s)

C69-0701

Automatic error-correction in natural languages

A.J. Szanser

A88-1011

TRIPHONE ANALYSIS: A COMBINED METHOD FOR THE CORRECTION OF ORTHOGRAPHICAL AND TYPOGRAPHICAL ERRORS.

Brigitte van Berkelt; Koenraad De Smedt

W03-0403

Active learning for HPSG parse selection

Jason Baldridge; Miles Osborne

C94-1043

Word Knowledge Acquisition, Lexicon Construction and Dictionary Compilation

Antonio Sanfilippo

P99-1078

Using Linguistic Knowledge in Automatic Abstracting

Horacio Saggion

P84-1071

WHAT NOT TO SAY

Jan Fornell

benamara

Cooperative Question Answering in Restricted Domains: the WEBCOOP Experiment

Farah Benamara

W97-0708

Goal-Directed Approach for Text Summarization

Ryo Ochitani; Yoshio Nakao; Fumihito Nishino

W98-1223

Modularity in Inductively-Learned Word Pronunciation Systems

Antal van den Bosch; Ton Weijters; Walter Daelemans

W98-1224

Do Not Forget: Full Memory in Memory-Based Learning of Word Pronunciation

Antal van den Bosch; Walter Daelemans

C96-2212

Hierarchical Clustering of Words

Akira Ushioda

24-364

Efficient Parsing of Highly Ambiguous Context-Free Grammars with Bit Vectors

Helmut Schmid

P86-1020

BULK PROCESSING OF TEXT ON A MASSIVELY PARALLEL COMPUTER

Gary W. Sabot

W00-0710

Learning Distributed Linguistic Classes

Stephan Raaijmakers

J84-3012

Take a few nanoseconds to explore the roots of computing

Richard F. Gehrt