Depth-first iterative-deepening: an optimal admissible tree search
Artificial Intelligence
Formal semantics and pragmatics for natural language querying
Formal semantics and pragmatics for natural language querying
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Probabilistic query expansion using query logs
Proceedings of the 11th international conference on World Wide Web
Towards a theory of natural language interfaces to databases
Proceedings of the 8th international conference on Intelligent user interfaces
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Word-sense disambiguation using decomposable models
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Lucene in Action (In Action series)
Lucene in Action (In Action series)
Semantic coherence scoring using an ontology
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
Understanding user's query intent with wikipedia
Proceedings of the 18th international conference on World wide web
An ontology-driven approach for semantic information retrieval on the Web
ACM Transactions on Internet Technology (TOIT)
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Joint parsing and named entity recognition
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Topic identification using Wikipedia graph centrality
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Comparison of Tree-Child Phylogenetic Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Query Sentences as Semantic (Sub) Networks
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Generalized syntactic and semantic models of query reformulation
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Towards open-domain Semantic Role Labeling
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Event extraction as dependency parsing
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
Generating suggestions for queries in the long tail with an inverted index
Information Processing and Management: an International Journal
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Natural language search relies strongly on perceiving semantics in a query sentence. Semantics is captured by the relationship among the query words, represented as a network (graph). Such a network of words can be fed into larger ontologies, like DBpedia or Google Knowledge Graph, where they appear as subgraphs— fashioning the name subnetworks (subnets). Thus, subnet is a canonical form for interfacing a natural language query to a graph database and is an integral step for graph-based searching. In this article, we present a novel standalone NLP technique that leverages the cognitive psychology notion of semantic strata for semantic subnetwork extraction from natural language queries. The cognitive model describes some of the fundamental structures employed by the human cognition to construct semantic information in the brain, called semantic strata. We propose a computational model based on conditional random fields to capture the cognitive abstraction provided by semantic strata, facilitating cognitive canonicalization of the query. Our results, conducted on approximately 5000 queries, suggest that the cognitive canonicals based on semantic strata are capable of significantly improving parsing and role labeling performance beyond pure lexical approaches, such as parts-of-speech based techniques. We also find that cognitive canonicalized subnets are more semantically coherent compared to syntax trees when explored in graph ontologies like DBpedia and improve ranking of retrieved documents.