Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic detection of causal relations for Question Answering
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Discourse Connective Argument Identification with Connective Specific Rankers
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Know-why extraction from textual data for supporting what question
KRAQ '08 Coling 2008: Proceedings of the workshop on Knowledge and Reasoning for Answering Questions
The Hindi Discourse Relation Bank
ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop
Clause boundary identification using conditional random fields
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Hi-index | 0.00 |
We present our work on automatic identification of cause-effect relations in a given Tamil text. Based on the analysis of causal constructions in Tamil, we identified a set of causal markers for Tamil and arrived at certain features used to develop our language model. We manually annotated a Tamil corpus of 8648 sentences for cause-effect relations. With this corpus, we developed the model for identifying causal relations using the machine learning technique, Conditional Random Fields (CRFs). We performed experiments and the results are encouraging. We performed an error analysis of the results and found that the errors can be attributed to some very interesting structural interdependencies between closely occurring causal relations. After comparing these structures in Tamil and English, we claim that at discourse level, the complexity of structural interdependencies between causal relations is more complex in Tamil than in English due to the free word order nature of Tamil.