IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
This paper argues for the necessity of zero pronoun annotations in Korean treebanks and provides an annotation scheme that can be used to develop a gold standard for testing differ...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
We present a preliminary study of several parser adaptation es evaluated on the GENIA corpus of MEDLINE abstracts [1,2]. We begin by observing that the Penn Treebank (PTB) is lexic...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
This paper reports on a study of semantic role tagging in Chinese, in the absence of a parser. We investigated the effect of using only lexical information in statistical training;...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Document clustering has many uses in natural language tools and applications. For instance, summarizing sets of documents that all describe the same event requires first identifyi...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number o...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
IJCNLP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...