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126
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EMNLP
2010
14 years 10 months ago
Top-Down Nearly-Context-Sensitive Parsing
We present a new syntactic parser that works left-to-right and top down, thus maintaining a fully-connected parse tree for a few alternative parse hypotheses. All of the commonly ...
Eugene Charniak
109
Voted
COLING
2010
14 years 7 months ago
Chart Pruning for Fast Lexicalised-Grammar Parsing
Given the increasing need to process massive amounts of textual data, efficiency of NLP tools is becoming a pressing concern. Parsers based on lexicalised grammar formalisms, such...
Yue Zhang 0004, Byung-Gyu Ahn, Stephen Clark, Curt...
AI
2009
Springer
15 years 7 months ago
Training Global Linear Models for Chinese Word Segmentation
This paper examines how one can obtain state of the art Chinese word segmentation using global linear models. We provide experimental comparisons that give a detailed road-map for ...
Dong Song, Anoop Sarkar
96
Voted
CISSE
2008
Springer
15 years 2 months ago
Improved Induction Tree Training for Automatic Lexical Categorization
This paper studies a tuned version of an induction tree which is used for automatic detection of lexical word category. The database used to train the tree has several fields to de...
M. D. López De Luise, M. Soffer, F. Spelanz...
81
Voted
LREC
2010
443views Education» more  LREC 2010»
15 years 2 months ago
Interpreting SentiWordNet for Opinion Classification
We describe a set of tools, resources, and experiments for opinion classification in business-related datasources in two languages. In particular we concentrate on SentiWordNet te...
Horacio Saggion, Adam Funk