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EMNLP
2009
15 years 4 months ago
Refining Grammars for Parsing with Hierarchical Semantic Knowledge
This paper proposes a novel method to refine the grammars in parsing by utilizing semantic knowledge from HowNet. Based on the hierarchical state-split approach, which can refine ...
Xiaojun Lin, Yang Fan, Meng Zhang, Xihong Wu, Huis...
ICDIM
2008
IEEE
16 years 18 days ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
EMNLP
2007
15 years 7 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
KAIS
2006
121views more  KAIS 2006»
15 years 6 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
EMNLP
2009
15 years 4 months ago
Chinese Semantic Role Labeling with Shallow Parsing
Most existing systems for Chinese Semantic Role Labeling (SRL) make use of full syntactic parses. In this paper, we evaluate SRL methods that take partial parses as inputs. We fir...
Weiwei Sun, Zhifang Sui, Meng Wang, Xin Wang