Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Knowledge-based acquisition of causal relationships in text
Knowledge Acquisition
On the acquisition of causal knowledge from scientific texts with attribute grammars
International Journal of Applied Expert Systems
Communications of the ACM
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
COATIS, an NLP System to Locate Expressions of Actions Connected by Causality Links
EKAW '97 Proceedings of the 10th European Workshop on Knowledge Acquisition, Modeling and Management
Extracting Causation Knowledge from Natural Language Texts
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Acquiring causal knowledge from text using the connective marker tame
ACM Transactions on Asian Language Information Processing (TALIP)
Automatic detection of causal relations for Question Answering
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Information Processing and Management: an International Journal
ACM Transactions on Asian Language Information Processing (TALIP)
Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Cause Information Extraction from Financial Articles Concerning Business Performance
IEICE - Transactions on Information and Systems
Latent Variable Models for Causal Knowledge Acquisition
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Towards Extraction of Conceptual Structures from Electronic Health Records
ICCS '09 Proceedings of the 17th International Conference on Conceptual Structures: Conceptual Structures: Leveraging Semantic Technologies
Information Processing and Management: an International Journal
Journal of Biomedical Informatics
Learning relations from biomedical corpora using dependency trees
KDECB'06 Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics
Using local alignments for relation recognition
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Why text segment classification based on part of speech feature selection
DS'10 Proceedings of the 13th international conference on Discovery science
A hybrid approach for the extraction of semantic relations from MEDLINE abstracts
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Lexico-syntactic causal pattern text mining
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Causal markers across domains and genres of discourse
Proceedings of the sixth international conference on Knowledge capture
Extracting explicit and implicit causal relations from sparse, domain-specific texts
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Knowledge and reasoning for question answering: Research perspectives
Information Processing and Management: an International Journal
Causal relation extraction using cue phrase and lexical pair probabilities
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Learning causality for news events prediction
Proceedings of the 21st international conference on World Wide Web
Granular Causality Applications: Using Part-of Relations for Discovering Causality
International Journal of Cognitive Informatics and Natural Intelligence
Granular Causality Applications: Using Part-of Relations for Discovering Causality
International Journal of Cognitive Informatics and Natural Intelligence
Learning to predict from textual data
Journal of Artificial Intelligence Research
Ontological semantic inference based on cognitive map
Expert Systems with Applications: An International Journal
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This paper reports the first part of a project that aims to develop a knowledge extraction and knowledge discovery system that extracts causal knowledge from textual databases. In this initial study, we develop a method to identify and extract cause-effect information that is explicitly expressed in medical abstracts in the Medline database. A set of graphical patterns were constructed that indicate the presence of a causal relation in sentences, and which part of the sentence represents the cause and which part represents the effect. The patterns are matched with the syntactic parse trees of sentences, and the parts of the parse tree that match with the slots in the patterns are extracted as the cause or the effect.