CICLING
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We present a linguistically-motivated sub-sentential alignment system that extends the intersected IBM Model 4 word alignments. The alignment system is chunk-driven and r...
CICLING
2010
Springer
13 years 7 months ago
2010
Springer
Determining the direction of plagiarism (who plagiarized whom in a given pair of documents) is one of the most interesting problems in the field of automatic plagiarism detection. ...
CICLING
2010
Springer
13 years 7 months ago
2010
Springer
The Arabic language is a highly flexional and morphologically very rich language. It presents serious challenges to the automatic classification of documents, one of which is deter...
CICLING
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Human-like holder plays an important role in identifying actual emotion expressed in text. This paper presents a baseline followed by syntactic approach for capturing emo...
CICLING
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. The development of a syntactic textual entailment system that compares the dependency relations in both the text and the hypothesis has been reported. The Stanford Depend...
CICLING
2010
Springer
13 years 10 months ago
2010
Springer
CICLING
2010
Springer
14 years 28 days ago
2010
Springer
This paper describes an effort towards building a Telugu Dependency Treebank. We discuss the basic framework and issues we encountered while annotating. 1487 sentences have been an...
CICLING
2010
Springer
14 years 28 days ago
2010
Springer
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...
CICLING
2010
Springer
14 years 3 months ago
2010
Springer
The translation quality and parsing efficiency are often disappointed when Rule based Machine Translation systems deal with long sentences. Due to the complicated syntactic structu...
CICLING
2010
Springer
14 years 4 months ago
2010
Springer
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...