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» Efficient Information Extraction over Evolving Text Data
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EMNLP
2010
13 years 4 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
14 years 7 months ago
Enabling enterprise mashups over unstructured text feeds with InfoSphere MashupHub and SystemT
Enterprise mashup scenarios often involve feeds derived from data created primarily for eye consumption, such as email, news, calendars, blogs, and web feeds. These data sources c...
David E. Simmen, Frederick Reiss, Yunyao Li, Sures...
BMCBI
2005
151views more  BMCBI 2005»
13 years 6 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
13 years 11 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
SEMCO
2008
IEEE
14 years 1 months ago
Extracting and Exploring the Geo-Temporal Semantics of Textual Resources
Geo-temporal criteria are important for filtering, grouping and prioritizing information resources. This presents techniques for extracting semantic geo-temporal information from ...
Bruno Martins, Hugo Manguinhas, José Luis B...