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» Minimally Lexicalized Dependency Parsing
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
13 years 11 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo
NLP
2000
13 years 9 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman
SIGSOFT
2007
ACM
14 years 7 months ago
Efficient token based clone detection with flexible tokenization
Code clones are similar code fragments that occur at multiple locations in a software system. Detection of code clones provides useful information for maintenance, reengineering, ...
Hamid Abdul Basit, Stan Jarzabek
COLING
2008
13 years 7 months ago
The Effect of Syntactic Representation on Semantic Role Labeling
Almost all automatic semantic role labeling (SRL) systems rely on a preliminary parsing step that derives a syntactic structure from the sentence being analyzed. This makes the ch...
Richard Johansson, Pierre Nugues
EMNLP
2009
13 years 4 months ago
Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...
Jingjing Liu, Stephanie Seneff