Lexical Acquisition and Information Extraction
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Automatic acquisition of subcategorization frames from untagged text
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Acquisition of a lexicon from semantic representations of sentences
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
SEXTANT: exploring unexplored contexts for semantic extraction from syntactic analysis
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Generalizing automatically generated selectional patterns
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Revisiting Ontology Design: A Methodology Based on Corpus Analysis
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Extracting knowledge from XML document repository: a semantic Web-based approach
Information Technology and Management
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
Ontology-Based Approach for Semi-automatic Generation of Subcategorization Frames for Spanish Verbs
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Towards the Selection of Induced Syntactic Relations
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Evaluating ontology extraction tools using a comprehensive evaluation framework
Data & Knowledge Engineering
Integrating written policies in business rule management systems
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Discovering semantic sibling associations from web documents with XTREEM-SP
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
RELFIN – topic discovery for ontology enhancement and annotation
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
On the need to bootstrap ontology learning with extraction grammar learning
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Pattern mining across domain-specific text collections
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
DODDLE-OWL: a domain ontology construction tool with OWL
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Automatic ontology extraction from unstructured texts
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Discovering semantic sibling groups from web documents with XTREEM-SG
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Evaluation of ontology enhancement tools
EWMF'05/KDO'05 Proceedings of the 2005 joint international conference on Semantics, Web and Mining
Discovering multi terms and co-hyponymy from XHTML documents with XTREEM
KDXD'06 Proceedings of the First international conference on Knowledge Discovery from XML Documents
Ontology learning from text: A look back and into the future
ACM Computing Surveys (CSUR)
Domain relevance on term weighting
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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In this paper, we describe the Machine Learning system, ASIUM, which learns Subcaterorization Frames of verbs and ontologies from the syntactic parsing of technical texts in natural language. The restrictions of selection in the subcategorization frames are filled by the ontology's concepts. Applications requiring such knowledge are crucial and numerous. The most direct applications are semantic control of texts and syntactic parsing disambiguation. This knowledge acquisition task cannot be fully automatically performed. Instead,we propose a cooperative ML method which provides the user with a global view of the acquisition task and also with acquisition tools like automatic concepts splitting, example generation, and an ontology view with attachments to the verbs. Validation steps using these features are intertwined with learning steps so that the user validates the concepts as they are learned. Experiments performed on two different corpora (cooking domain and patents) give very promising results.