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» Tagging and Chunking with Bigrams
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NAACL
2003
13 years 6 months ago
Target Word Detection and Semantic Role Chunking using Support Vector Machines
In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...
Kadri Hacioglu, Wayne Ward
LREC
2010
188views Education» more  LREC 2010»
13 years 6 months ago
Improving Chunking Accuracy on Croatian Texts by Morphosyntactic Tagging
In this paper, we present the results of an experiment with utilizing a stochastic morphosyntactic tagger as a pre-processing module of a rule-based chunker and partial parser for...
Kristina Vuckovic, Zeljko Agic, Marko Tadic
ACL
2006
13 years 6 months ago
An Empirical Study of Chinese Chunking
In this paper, we describe an empirical study of Chinese chunking on a corpus, which is extracted from UPENN Chinese Treebank-4 (CTB4). First, we compare the performance of the st...
Wenliang Chen, Yujie Zhang, Hitoshi Isahara
ACL
1998
13 years 6 months ago
Using Chunk Based Partial Parsing of Spontaneous Speech in Unrestricted Domains for Reducing Word Error Rate in Speech Recogniti
In this paper, we present a chunk based partial parsing system for spontaneous, conversational speech in unrestricted domains. We show that the chunk parses produced by this parsi...
Klaus Zechner, Alex Waibel
ACL
2003
13 years 6 months ago
A SNoW Based Supertagger with Application to NP Chunking
Supertagging is the tagging process of assigning the correct elementary tree of LTAG, or the correct supertag, to each
Libin Shen, Aravind K. Joshi