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» Extracting Named Entities and Synonyms from Wikipedia
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ACL
2006
13 years 9 months ago
Extractive Summarization using Inter- and Intra- Event Relevance
Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. Each event has its o...
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan
CIKM
2008
Springer
13 years 9 months ago
Mapping enterprise entities to text segments
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
Falk Brauer, Alexander Löser, Hong-Hai Do
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...
COLING
2010
13 years 2 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
LREC
2008
120views Education» more  LREC 2008»
13 years 9 months ago
Exploiting the Role of Position Feature in Chinese Relation Extraction
Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based m...
Peng Zhang, Wenjie Li, Furu Wei, Qin Lu, Yuexian H...