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ICDE
2010
IEEE
224views Database» more  ICDE 2010»
14 years 7 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
AROBOTS
1999
140views more  AROBOTS 1999»
13 years 7 months ago
A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbu...
Reid R. Harrison, Christof Koch
ROCAI
2004
Springer
14 years 1 months ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
LREC
2008
153views Education» more  LREC 2008»
13 years 9 months ago
Extracting and Querying Relations in Scientific Papers on Language Technology
We describe methods for extracting interesting factual relations from scientific texts in computational linguistics and language technology taken from the ACL Anthology. We use a ...
Ulrich Schäfer, Hans Uszkoreit, Christian Fed...
DL
1999
Springer
187views Digital Library» more  DL 1999»
13 years 12 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...