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» Improving Word Sense Disambiguation Using Topic Features
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ECIR
2004
Springer
13 years 9 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
ACL
2010
13 years 5 months ago
Bilingual Sense Similarity for Statistical Machine Translation
This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed ...
Boxing Chen, George F. Foster, Roland Kuhn
ACL
2008
13 years 9 months ago
Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking
We investigate the tasks of general morphological tagging, diacritization, and lemmatization for Arabic. We show that for all tasks we consider, both modeling the lexeme explicitl...
Ryan Roth, Owen Rambow, Nizar Habash, Mona T. Diab...
ICMCS
2006
IEEE
66views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Utterance-Level Extractive Summarization of Open-Domain Spontaneous Conversations with Rich Features
To identify important utterances from open-domain spontaneous conversations, previous work has focused on using textual features that are extracted from transcripts, e.g., word fr...
Xiaodan Zhu, Gerald Penn
EMNLP
2008
13 years 9 months ago
Bayesian Unsupervised Topic Segmentation
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
Jacob Eisenstein, Regina Barzilay