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IJCNLP
2005
Springer
15 years 3 months ago
Lexical Choice via Topic Adaptation for Paraphrasing Written Language to Spoken Language
Our research aims at developing a system that paraphrases written language text to spoken language style. In such a system, it is important to distinguish between appropriate and i...
Nobuhiro Kaji, Sadao Kurohashi
LREC
2008
93views Education» more  LREC 2008»
14 years 11 months ago
Using a Probabilistic Model of Context to Detect Word Obfuscation
This paper proposes a distributional model of word use and word meaning which is derived purely from a body of text, and then applies this model to determine whether certain words...
Sanaz Jabbari, Ben Allison, Louise Guthrie
ACL
2001
14 years 11 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
CICLING
2005
Springer
15 years 3 months ago
Instance Pruning by Filtering Uninformative Words: An Information Extraction Case Study
In this paper we present a novel instance pruning technique for Information Extraction (IE). In particular, our technique filters out uninformative words from texts on the basis o...
Alfio Massimiliano Gliozzo, Claudio Giuliano, Raff...
ACL
2004
14 years 11 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...