Paper ID
(Link to PDF) |
Title |
Author(s) |
mihalcea | Co-training and Self-training for Word Sense Disambiguation | Rada Mihalcea
|
N01-1011 | A Decision Tree of Bigrams is an Accurate Predictor of Word Sense | Ted Pedersen
|
W97-0323 | Exemplar-Based Word Sense Disambiguation" Some Recent Improvements | Hwee Tou Ng
|
strapparava | Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3 | Carlo Strapparava, Alfio Gliozzo and Claudiu Giuliano
|
W97-0213 | A Perspective on Word Sense Disambiguation Methods and Their Evaluation | Philip Resni
|
P95-1026 | UNSUPERVISED WORD SENSE DISAMBIGUATION RIVALING SUPERVISED METHODS | David Yarowsky
|
P96-1006 | Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach | Hwee Tou Ng; Hian Beng Lee
|
316_pdf_2-col | Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features | Jinying Chen and Martha Palmer
|
P03-1008 | Syntactic Features and Word Similarity for Supervised Metonymy Resolution | Malvina Nissim; Katja Markert
|
C02-1112 | Syntactic Features for High Precision Word Sense Disambiguation | David Martinez; Eneko Agirre; Lluis Marquez
|
J01-3001 | The Interaction of Knowledge Sources in Word Sense Disambiguation | Mark Stevenson; Yorick Wilks
|
P01-1005 | Scaling to Very Very Large Corpora for Natural Language Disambiguation | Michele Banko; Eric Brill
|
W02-1006 | An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation | Yoong Keok Lee; Hwee Tou Ng
|
mohammad | Complementarity of lexical and simple syntactic features: The SyntaLex approach to Senseval-3 | Saif Mohammad and Ted Pedersen
|
popescu | Regularized Least-Squares classification for Word Sense Disambiguation | Marius Popescu
|