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» Self-Training for Biomedical Parsing
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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
EVOW
2008
Springer
13 years 9 months ago
DEEPER: A Full Parsing Based Approach to Protein Relation Extraction
Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
ACL
2010
13 years 5 months ago
Faster Parsing by Supertagger Adaptation
We propose a novel self-training method for a parser which uses a lexicalised grammar and supertagger, focusing on increasing the speed of the parser rather than its accuracy. The...
Jonathan K. Kummerfeld, Jessika Roesner, Tim Dawbo...
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 7 months ago
Towards Effective Sentence Simplification for Automatic Processing of Biomedical Text
The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technica...
Siddhartha Jonnalagadda, Luis Tari, Jörg Hake...
ICTAI
2003
IEEE
14 years 20 days ago
Extracting Biochemical Interactions from MEDLINE Using a Link Grammar Parser
Many natural language processing approaches at various complexity levels have been reported for extracting biochemical interactions from MEDLINE. While some algorithms using simpl...
Jing Ding, Daniel Berleant, Jun Xu, Andy W. Fulmer