Causality Extraction have a lot of application in different fields of the information technology such as development of systems that need to interact with humans,artificial intelligence applications, analysis of interpersonal relationships and public decision making, etc. In this research we propose a method for Automatic Cause and Effect Extraction based on Syntactic Similarity from Sentences with
Causal Cue Words.

1. W. Mao, et al., "From Causal Scenarios to Social Causality: An
Attributional Approach" IEEE IS, vol. 26, pp. 48-57, 2011.
2. A. Sobrino, J.A. Olivas, and C. Puente, "Causality and imperfect
causality from texts: A frame for causality in social sciences”, in Proc.
FUZZ-IEEE, 2010, pp.1-8.
3. Roxana Girju, Automatic detection of causal relations for Question
Answering, Proceedings of the ACL 2003 workshop on Multilingual
summarization and question answering, p.76-83, July 11, 2003,
Sapporo, Japan.
Eduardo Blanco, Nuria Castell, Dan Moldovan (2008). Causal Relation
Extraction. In Proceedings of the Sixth International Conference on
Language Resources and Evaluation (LREC'08). Marrakech, Morocco.
5. C. Puente, A. Sobrino, J. A. Olivas, ‘Extraction of conditional and causal
sentences from queries to provide a flexible answer’. Eighth
International Conference Flexible Question Answering FQAS 2009.
Springer, LNCS vol. 5822, pp. 477-487.
6. Marie-Catherine de Marneffe, Bill MacCartney and Christopher D.
Manning. (2006). Generating Typed Dependency Parses from Phrase
Structure Parses. In LREC 2006.
7. Stephen V. Cole, Matthew D. Royal, Marco G. Valtorta, Michael N. Huhns
and John B. Bowles (2006). A Lightweight Tool for Automatically
Extracting Causal Relationships from Text. Southeast Con, 2006.
Proceedings of the IEEE.
Du-Seong Chang, Key-Sun Choi, Causal relation extraction using cue
phrase and lexical pair probabilities, Proceedings of the First
international joint conference on Natural Language Processing, March
22-24, 2004, Hainan Island, China.
9. Cristina Puente, José A. Olivas. Analysis, detection and classification of
certain conditional sentences in text documents. IC-AI 2009: 838-843.
10. Antonio Sorgente, Giuseppe Vettigli, Francesco Mele. Automatic
Extraction of Cause-Effect Relations in Natural Language Text.
DART@AI*IA 2013: 37-48.
11. Riaz, M., & Girju, R. Another look at causality: Discovering scenariospecific
contingency relationships with no supervision. In Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on (pp.
361-368). IEEE.
12. Ashwin Ittoo, Gosse Bouma, Extracting explicit and implicit causal
relations from sparse, domain-specific texts, Proceedings of the 16th
international conference on Natural language processing and
information systems, June 28-30, 2011, Alicante, Spain.
13. Mehwish Riaz and Roxana Girju. Toward a Better Undrstanding of
Causality between Verbal Events: Extraction and Analysis of the Causal
Power of Verb – Verb Associations. SIGDIAL 2013 conference, pages
21-30.
14. R. Girju, “Toward Social Causality: An Analysis of Interpersonal
Relationships in Online Blogs and Forums”, in Proc. ICWSM, 2010.
15. Dipanjan Das , Noah A. Smith, Semi-supervised frame-semantic
parsing for unknown predicates, Proceedings of the 49th Annual
Meeting of the Association for Computational Linguistics: Human
Language Technologies, June 19-24, 2011, Portland, Oregon.