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EMNLP
2009
13 years 5 months ago
Improving Web Search Relevance with Semantic Features
Most existing information retrieval (IR) systems do not take much advantage of natural language processing (NLP) techniques due to the complexity and limited observed effectivenes...
Yumao Lu, Fuchun Peng, Gilad Mishne, Xing Wei, Ben...
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
14 years 7 months ago
Identifying meaningful return information for XML keyword search
Keyword search enables web users to easily access XML data without the need to learn a structured query language and to study possibly complex data schemas. Existing work has addr...
Ziyang Liu, Yi Chen
ICWE
2011
Springer
12 years 11 months ago
Learning Semantic Relationships between Entities in Twitter
In this paper, we investigate whether semantic relationships between entities can be learnt from analyzing microblog posts published on Twitter. We identify semantic links between ...
Ilknur Celik, Fabian Abel, Geert-Jan Houben
CIKM
2007
Springer
14 years 1 months ago
Shine: search heterogeneous interrelated entities
Heterogeneous entities or objects are very common and are usually interrelated with each other in many scenarios. For example, typical Web search activities involve multiple types...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen
WEBDB
2010
Springer
152views Database» more  WEBDB 2010»
14 years 22 days ago
Popularity-Guided Top-k Extraction of Entity Attributes
Recent progress in information extraction technology has enabled a vast array of applications that rely on structured data that is embedded in natural-language text. In particular...
Matthew Solomon, Cong Yu, Luis Gravano