Knowledge-based acquisition of causal relationships in text
Knowledge Acquisition
C4.5: programs for machine learning
C4.5: programs for machine learning
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
Text mining for semantic relations
Text mining for semantic relations
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Assigning function tags to parsed text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Extracting causal knowledge from a medical database using graphical patterns
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Automatic labeling of semantic roles
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Retrieving answers from frequently asked questions pages on the web
Proceedings of the 14th ACM international conference on Information and knowledge management
Automatic question answering using the web: Beyond the Factoid
Information Retrieval
Information Processing and Management: an International Journal
Ontologizing semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Acquisition of verb entailment from text
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Discovery of event entailment knowledge from text corpora
Computer Speech and Language
ACM Transactions on Asian Language Information Processing (TALIP)
Automatic detection of treatment relationships for patent retrieval
Proceedings of the 1st ACM workshop on Patent information retrieval
Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Research topic recommendation service: an approach based on semantic relation in context
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Mining Causality from Texts for Question Answering System
IEICE - Transactions on Information and Systems
Using a Bigram Event Model to Predict Causal Potential
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Latent Variable Models for Causal Knowledge Acquisition
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Learning semantic links from a corpus of parallel temporal and causal relations
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Extracting word sets with non-taxonomical relation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Automatically Harvesting and Ontologizing Semantic Relations
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Discovery of Entailment Relations from Event Co-Occurrences
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Investigating the characteristics of causal relations in Japanese text
CorpusAnno '05 Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
UIUC: a knowledge-rich approach to identifying semantic relations between nominals
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
ChronoSeeker: Future Opinion Extraction
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Automatic sense prediction for implicit discourse relations in text
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Extraction of Conditional and Causal Sentences from Queries to Provide a Flexible Answer
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Information Processing and Management: an International Journal
Biomedical question answering: A survey
Computer Methods and Programs in Biomedicine
A knowledge-rich approach to identifying semantic relations between nominals
Information Processing and Management: an International Journal
Search for patents using treatment and causal relationships
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
Emotion cause detection with linguistic constructions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
An incremental method for causal network construction
WAIM'10 Proceedings of the 11th international conference on Web-age information management
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
The effects of discourse connectives prediction on implicit discourse relation recognition
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Predicting discourse connectives for implicit discourse relation recognition
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Explanation knowledge graph construction through causality extraction from texts
Journal of Computer Science and Technology
Automatic identification of cause-effect relations in tamil using CRFs
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Classifying arguments by scheme
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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
Causal relation extraction using cue phrase and lexical pair probabilities
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Discovering commonsense entailment rules implicit in sentences
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Minimally supervised event causality identification
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Modelling discourse relations for Arabic
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Structured summarization for news events
Proceedings of the 22nd international conference on World Wide Web companion
Ontological semantic inference based on cognitive map
Expert Systems with Applications: An International Journal
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Causation relations are a pervasive feature of human language. Despite this, the automatic acquisition of causal information in text has proved to be a difficult task in NLP. This paper provides a method for the automatic detection and extraction of causal relations. We also present an inductive learning approach to the automatic discovery of lexical and semantic constraints necessary in the disambiguation of causal relations that are then used in question answering. We devised a classification of causal questions and tested the procedure on a QA system.