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BMCBI
2008
100views more  BMCBI 2008»
14 years 10 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake
INFORMATICALT
2007
164views more  INFORMATICALT 2007»
14 years 10 months ago
Extracting Personalised Ontology from Data-Intensive Web Application: an HTML Forms-Based Reverse Engineering Approach
The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution. The next generation of the web, the semantic web, seeks...
Sidi Mohamed Benslimane, Mimoun Malki, Mustapha Ka...
PVLDB
2010
114views more  PVLDB 2010»
14 years 8 months ago
ObjectRunner: Lightweight, Targeted Extraction and Querying of Structured Web Data
We present in this paper ObjectRunner, a system for extracting, integrating and querying structured data from the Web. Our system harvests real-world items from template-based HTM...
Talel Abdessalem, Bogdan Cautis, Nora Derouiche
ICML
2000
IEEE
15 years 11 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
DEBU
2010
139views more  DEBU 2010»
14 years 7 months ago
Refining Information Extraction Rules using Data Provenance
Developing high-quality information extraction (IE) rules, or extractors, is an iterative and primarily manual process, extremely time consuming, and error prone. In each iteratio...
Bin Liu 0002, Laura Chiticariu, Vivian Chu, H. V. ...