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» Using Unknown Word Techniques to Learn Known Words
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ACL
2008
13 years 6 months ago
The Good, the Bad, and the Unknown: Morphosyllabic Sentiment Tagging of Unseen Words
The omnipresence of unknown words is a problem that any NLP component needs to address in some form. While there exist many established techniques for dealing with unknown words i...
Karo Moilanen, Stephen G. Pulman
ACL
2008
13 years 6 months ago
Blog Categorization Exploiting Domain Dictionary and Dynamically Estimated Domains of Unknown Words
This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing B...
Chikara Hashimoto, Sadao Kurohashi
ACL
1996
13 years 6 months ago
Unsupervised Learning of Word-Category Guessing Rules
Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...
Andrei Mikheev
ACL
2008
13 years 6 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
ICASSP
2010
IEEE
13 years 5 months ago
Word confidence calibration using a maximum entropy model with constraints on confidence and word distributions
It is widely known that the quality of confidence measure is critical for speech applications. In this paper, we present our recent work on improving word confidence scores by cal...
Dong Yu, Shizhen Wang, Jinyu Li, Li Deng