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IJCNLP
2005
Springer
15 years 5 months ago
Topic Tracking Based on Linguistic Features
This paper explores two linguistically motivated restrictions on the set of words used for topic tracking on newspaper articles: named entities and headline words. We assume that n...
Fumiyo Fukumoto, Yusuke Yamaji
CHI
1995
ACM
15 years 3 months ago
Oh what a tangled web we weave: metaphor and mapping in graphical interfaces
The relations among graphical representations, computer functionality, and everyday objects are more complex than terms like “the desktop metaphor” may suggest. While metaphor...
William W. Gaver
ACL
2008
15 years 1 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
LREC
2008
124views Education» more  LREC 2008»
15 years 1 months ago
Improving NER in Arabic Using a Morphological Tagger
We discuss a named entity recognition system for Arabic, and show how we incorporated the information provided by MADA, a full morphological tagger which uses a morphological anal...
Benjamin Farber, Dayne Freitag, Nizar Habash, Owen...
ACL
2003
15 years 1 months ago
Improved Source-Channel Models for Chinese Word Segmentation
This paper presents a Chinese word segmentation system that uses improved sourcechannel models of Chinese sentence generation. Chinese words are defined as one of the following fo...
Jianfeng Gao, Mu Li, Changning Huang