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» Location Normalization for Information Extraction
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COLING
2002
13 years 4 months ago
Location Normalization for Information Extraction
Ambiguity is very high for location names. For example, there are 23 cities named `Buffalo' in the U.S. Country names such as `Canada', `Brazil' and `China' ar...
Huifeng Li, Rohini K. Srihari, Cheng Niu, Wei Li 0...
IJCNLP
2005
Springer
13 years 10 months ago
CTEMP: A Chinese Temporal Parser for Extracting and Normalizing Temporal Information
Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extra...
Mingli Wu, Wenjie Li, Qin Lu, Baoli Li
ICCV
2011
IEEE
12 years 4 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...
ISBI
2008
IEEE
14 years 5 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy