Natural language processing for information retrieval
Communications of the ACM
Modern Information Retrieval
The Wisdom of Crowds
Extracting semantic relations from query logs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
On the value of temporal information in information retrieval
ACM SIGIR Forum
Near-Term Prospects for Semantic Technologies
IEEE Intelligent Systems
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Online learning from click data for sponsored search
Proceedings of the 17th international conference on World Wide Web
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Dependency parsing with second-order feature maps and annotated semantic information
IWPT '07 Proceedings of the 10th International Conference on Parsing Technologies
The intention behind web queries
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Harvesting, searching, and ranking knowledge on the web: invited talk
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Technically approaching the semantic web bottleneck
International Journal of Web Engineering and Technology
ICOODB'10 Proceedings of the Third international conference on Objects and databases
Chapter 3: search for knowledge
Search Computing
IdentityRank: Named entity disambiguation in the news domain
Expert Systems with Applications: An International Journal
Combining link and content-based information in a Bayesian inference model for entity search
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
Improving large-scale search engines with semantic annotations
Expert Systems with Applications: An International Journal
Discovering meaning on the go in large heterogenous data
Artificial Intelligence Review
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Semantic search seems to be an elusive and fuzzy target to many researchers. One of the reasons is that the task lies in between several areas of specialization. In this extended abstract we review some of the ideas we have been investigating while approaching this problem. First, we present how we understand semantic search, the Web and the current challenges. Second, how to use shallow semantics to improve Web search. Third, how the usage of search engines can capture the implicit semantics encoded in the queries and actions of people. To conclude, we discuss how these ideas can create virtuous feedback circuit for machine learning and, ultimately, better search.