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» Sentence diagram generation using dependency parsing
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GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
14 years 22 days 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
ACL
2007
13 years 9 months ago
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
This paper presents the first empirical results to our knowledge on learning synchronous grammars that generate logical forms. Using statistical machine translation techniques, a...
Yuk Wah Wong, Raymond J. Mooney
ACL
2010
13 years 5 months ago
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
We show how web mark-up can be used to improve unsupervised dependency parsing. Starting from raw bracketings of four common HTML tags (anchors, bold, italics and underlines), we ...
Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Als...
ICDAR
2003
IEEE
14 years 24 days ago
Extraction, layout analysis and classification of diagrams in PDF documents
Diagrams are a critical part of virtually all scientific and technical documents. Analyzing diagrams will be important for building comprehensive document retrieval systems. This ...
Robert P. Futrelle, Mingyan Shao, Chris Cieslik, A...
EMNLP
2009
13 years 5 months ago
Unsupervised Semantic Parsing
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
Hoifung Poon, Pedro Domingos