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» Learning for Semantic Parsing
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ICAI
2009
13 years 6 months ago
How Reasoning Achieves Context Integration into Syntax Parsing
Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...
Patrick McCrae
AAAI
2007
13 years 11 months ago
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
Jagadeesh Gorla, Amit Goyal, Rajeev Sangal
FLAIRS
2007
13 years 11 months ago
Naive Bayes and Decision Trees for Function Tagging
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....
Mihai C. Lintean, Vasile Rus
LREC
2008
104views Education» more  LREC 2008»
13 years 10 months ago
Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a ...
Lukasz Degórski, Michal Marcinczuk, Adam Pr...
LREC
2010
168views Education» more  LREC 2010»
13 years 10 months ago
A General Purpose FrameNet-based Shallow Semantic Parser
In this paper we present a new FrameNet-based Shallow Semantic Parser. While Shallow Semantic Parsing has been a popular Natural Language Processing task since the 2004 and 2005 C...
Bonaventura Coppola, Alessandro Moschitti