emnlp 2002 论文列表Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, EMNLP 2002, Philadelphia, PA, USA, July 6-7, 2002. |
Information Extraction from Voicemail Transcripts.
The Influence of Minimum Edit Distance on Reference Resolution.
Phrasal Cohesion and Statistical Machine Translation.
Bootstrapping Named Entity Recognition for Italian Broadcast News.
Processing Comparable Corpora With Bilingual Suffix Trees.
Combining Outputs of Multiple Japanese Named Entity Chunkers by Stacking.
Extracting Clauses for Spoken Language Understanding in Conversational Systems.
A Machine-Learning Approach to Introspection in a Question Answering System.
An Analysis of the AskMSR Question-Answering System.
Exploiting Headword Dependency and Predictive Clustering for Language Modeling.
The SuperARV Language Model: Investigating the Effectiveness of Tightly Integrating Multiple Knowledge Sources.
Using the Web to Overcome Data Sparseness.
Ensemble Methods for Automatic Thesaurus Extraction.
A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts.
Metonymy Resolution as a Classification Task.
Manipulating Large Corpora for Text Classification.
A Method for Open-Vocabulary Speech-Driven Text Retrieval.
A Hybrid Approach to Natural Language Web Search.
NLP Found Helpful (at least for one Text Categorization Task).
Bootstrapping Lexical Choice via Multiple-Sequence Alignment.
Generation of Word Graphs in Statistical Machine Translation.
User-Friendly Text Prediction For Translators.
Minimum Bayes-Risk Word Alignments of Bilingual Texts.
A Phrase-Based, Joint Probability Model for Statistical Machine Translation.
Exploiting Strong Syntactic Heuristics and Co-Training to Learn Semantic Lexicons.
Spectral Clustering for German Verbs.
Handling Noisy Training and Testing Data.
Fast LR parsing Using Rich (Tree Adjoining) Grammars.
From Words to Corpora: Recognizing Translation.
Extentions to HMM-based Statistical Word Alignment Models.
Thumbs up? Sentiment Classification using Machine Learning Techniques.
Kernel Methods for Relation Extraction.
Transformational Priors Over Grammars.
Combining Sample Selection and Error-Driven Pruning for Machine Learning of Coreference Rules.
Parsing and Disfluency Placement.
An Empirical Evaluation of Knowledge Sources and Learning Algorithms for Word Sense Disambiguation.
Augmented Mixture Models for Lexical Disambiguation.
Modeling Consensus: Classifier Combination for Word Sense Disambiguation.
An Incremental Decision List Learner.
Conditional Structure versus Conditional Estimation in NLP Models.
Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms.