Generalized subsumption and its applications to induction and redundancy
Artificial Intelligence
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Algorithms for Enumerating All Spanning Trees ofUndirected and Weighted Graphs
SIAM Journal on Computing
Machine Learning
Guest Editors‘ Introduction: Machine Learning and Natural Language
Machine Learning - Special issue on natural language learning
A Machine-Oriented Logic Based on the Resolution Principle
Journal of the ACM (JACM)
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
COGEX: a logic prover for question answering
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Loosely tree-based alignment for machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
A survey on tree edit distance and related problems
Theoretical Computer Science
Graph mining: Laws, generators, and algorithms
ACM Computing Surveys (CSUR)
A study on convolution kernels for shallow semantic parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
A semantic approach to IE pattern induction
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Automatic learning of textual entailments with cross-pair similarities
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Corpus-based semantic role approach in information retrieval
Data & Knowledge Engineering
A general framework for subjective information extraction from unstructured English text
Data & Knowledge Engineering
A logic-based semantic approach to recognizing textual entailment
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Information Processing and Management: an International Journal
Learning communicative actions of conflicting human agents
Journal of Experimental & Theoretical Artificial Intelligence
Kernel methods, syntax and semantics for relational text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
Discriminative Training of the Hidden Vector State Model for Semantic Parsing
IEEE Transactions on Knowledge and Data Engineering
A Relation-Based Page Rank Algorithm for Semantic Web Search Engines
IEEE Transactions on Knowledge and Data Engineering
The refined process structure tree
Data & Knowledge Engineering
Semantic role labeling via tree kernel joint inference
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Syntactic and semantic kernels for short text pair categorization
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Joint unsupervised coreference resolution with Markov logic
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An inference model for semantic entailment in natural language
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Semantic inference at the lexical-syntactic level
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The necessity of syntactic parsing for semantic role labeling
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Generic parsing for multi-domain semantic interpretation
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Graph-based tools for data mining and machine learning
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Refining non-taxonomic relation labels with external structured data to support ontology learning
Data & Knowledge Engineering
Unsupervised Semantic Similarity Computation between Terms Using Web Documents
IEEE Transactions on Knowledge and Data Engineering
Concept-based learning of human behavior for customer relationship management
Information Sciences: an International Journal
ACM Transactions on Asian Language Information Processing (TALIP)
Using generalization of syntactic parse trees for taxonomy capture on the web
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
The role of verb sense disambiguation in semantic role labeling
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Efficient convolution kernels for dependency and constituent syntactic trees
ECML'06 Proceedings of the 17th European conference on Machine Learning
A web mining tool for assistance with creative writing
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Transfer learning of syntactic structures for building taxonomies for search engines
Engineering Applications of Artificial Intelligence
Editorial: Detecting implicit expressions of affect in text using EmotiNet and its extensions
Data & Knowledge Engineering
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We extend the mechanism of logical generalization toward syntactic parse trees and attempt to detect semantic signals unobservable in the level of keywords. Generalization from a syntactic parse tree as a measure of syntactic similarity is defined by the obtained set of maximum common sub-trees and is performed at the level of paragraphs, sentences, phrases and individual words. We analyze the semantic features of this similarity measure and compare it with the semantics of traditional anti-unification of terms. Nearest-Neighbor machine learning is then applied to relate the sentence to a semantic class. By using a syntactic parse tree-based similarity measure instead of the bag-of-words and keyword frequency approaches, we expect to detect a subtle difference between semantic classes that is otherwise unobservable. The proposed approach is evaluated in three distinct domains in which a lack of semantic information makes the classification of sentences rather difficult. We conclude that implicit indications of semantic classes can be extracted from syntactic structures.