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» Querying Probabilistic Information Extraction
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EMNLP
2010
14 years 10 months ago
Positional Language Models for Clinical Information Retrieval
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
Florian Boudin, Jian-Yun Nie, Martin Dawes
126
Voted
AGENTS
1998
Springer
15 years 5 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
JCDL
2003
ACM
231views Education» more  JCDL 2003»
15 years 6 months ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
104
Voted
WWW
2008
ACM
16 years 1 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
135
Voted
AI
1998
Springer
15 years 13 days ago
Translingual Information Retrieval: Learning from Bilingual Corpora
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more di erent languages. This paper introduces...
Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Ro...