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COLING
2010
13 years 5 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li
COLING
2010
13 years 5 months ago
Unsupervised Part of Speech Tagging Using Unambiguous Substitutes from a Statistical Language Model
We show that unsupervised part of speech tagging performance can be significantly improved using likely substitutes for target words given by a statistical language model. We choo...
Mehmet Ali Yatbaz, Deniz Yuret
COLING
2010
13 years 6 months ago
Towards an optimal weighting of context words based on distance
Word Sense Disambiguation (WSD) often relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most cases...
Bernard Brosseau-Villeneuve, Jian-Yun Nie, Noriko ...
SPEECH
2010
105views more  SPEECH 2010»
13 years 9 months ago
On the acoustic correlates of high and low nuclear pitch accents in American English
Earlier findings in Shue et al. (2007, 2008) raised questions about the alignment of nuclear pitch accents in American English, which are addressed here by eliciting both high an...
Yen-Liang Shue, Stefanie Shattuck-Hufnagel, Markus...
COLING
2002
13 years 10 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
NAACL
2003
14 years 8 days ago
Word Sense Acquisition from Bilingual Comparable Corpora
Manually constructing an inventory of word senses has suffered from problems including high cost, arbitrary assignment of meaning to words, and mismatch to domains. To overcome th...
Hiroyuki Kaji
NAACL
2003
14 years 8 days ago
Discriminating Among Word Senses Using McQuitty's Similarity Analysis
This paper presents an unsupervised method for discriminating among the senses of a given target word based on the context in which it occurs. Instances of a word that occur in si...
Amruta Purandare
LREC
2008
134views Education» more  LREC 2008»
14 years 10 days ago
Evaluation of Lexical Resources and Semantic Networks on a Corpus of Mental Associations
When a user cannot find a word, he may think of semantically related words that could be used into an automatic process to help him. This paper presents an evaluation of lexical r...
Laurianne Sitbon, Patrice Bellot, Philippe Blache
LREC
2008
120views Education» more  LREC 2008»
14 years 10 days ago
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
Hiroyuki Shinnou, Minoru Sasaki
LREC
2008
88views Education» more  LREC 2008»
14 years 10 days ago
Lexical Substitution as a Framework for Multiword Evaluation
In this paper we analyse data from the SemEval lexical substitution task in those cases where the annotators indicated that the target word was part of a phrase before substitutin...
Diana McCarthy