Paper ID
(Link to PDF)

Title

Author(s)

W02-1304

MEANING: a Roadmap to Knowledge Technologies

German Rigau; Bernardo Magnini; Eneko Agirre; Piek Vossen; John Carroll

C73-1020

DICTIONNAIRE AUTOMATIQUE ET DICTIONNAIRE-MACHINE: UNE HYPOTHESE

GIACOMO FERRARI

M92-1018

SRA SOLOMON:MUC-4 TEST RESULTS AND ANALYSIS

Chinatsu Aone; Doug McKee; Sandy Shinn; Hatte Blejer

C69-4301

GRAMMAIRE I DESCRIPTION TRANSFORMATIONNELLE D' UN SOUS-ENSEMBLE DU FRANCAIS

Antonio A.M. Querido

H90-1039

On the Interaction Between True Source, Training, and Testing Language Models

Douglas B. Pault; James K. Baker; Janet M. Baker

C02-1097

Word Sense Disambiguation using Static and Dynamic Sense Vectors

Jong-Hoon Oh; Key-Sun Choi

W94-0329

CORECT: Combining CSCW with Natural Language Generation for Collaborative Requirement Capture

John Levine; Chris Mellish

P89-1015

ACQUIRING DISAMBIGUATION RULES FROM TEXT

Donald Hindle

C02-1158

Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning

Hiroshi Echizen-ya; Kenji Araki; Yoshio Momouchi; Koji Tochinai

W99-0509

An Overt Semantics with a Machine-guided Approach for Robust LKBs

Evelyne Viegas

A00-2026

Trainable Methods for Surface Natural Language Generation

Adwait Ratnaparkhi

H01-1052

Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing

M. Banko; E. Brill

P01-1005

Scaling to Very Very Large Corpora for Natural Language Disambiguation

Michele Banko; Eric Brill

C67-1028

ESSAI D'UNE THEORIE SEMANTIQUE APPLICABLE AU TRAITEMENT DE LANGAGE

A. JOLKOVSKY; I. MEL'CUK

mihalcea

Co-training and Self-training for Word Sense Disambiguation

Rada Mihalcea