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NAACL
2010
13 years 5 months ago
Urdu Word Segmentation
Word Segmentation is the foremost obligatory task in almost all the NLP applications where the initial phase requires tokenization of input into words. Urdu is amongst the Asian l...
Nadir Durrani, Sarmad Hussain
ECML
2007
Springer
14 years 2 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
ACL
2007
13 years 9 months ago
Chinese Segmentation with a Word-Based Perceptron Algorithm
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
Yue Zhang 0004, Stephen Clark
ACL
2008
13 years 9 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
EMNLP
2008
13 years 9 months ago
Incorporating Temporal and Semantic Information with Eye Gaze for Automatic Word Acquisition in Multimodal Conversational System
One major bottleneck in conversational systems is their incapability in interpreting unexpected user language inputs such as out-ofvocabulary words. To overcome this problem, conv...
Shaolin Qu, Joyce Yue Chai