Pattabhi RK Rao

Also published as: Pattabhi RK Rao, T. Pattabhi R. K Rao


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ChemXtract’ A System for Extraction of Chemical Events from Patent Documents
Pattabhi RK Rao | Sobha Lalitha Devi
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing

ChemXtraxt main goal is to extract the chemical events from patent documents. Event extraction requires that we first identify the names of chemical compounds involved in the events. Thus, in this work two extractions are done and they are (a) names of chemical compounds and (b) event that identify the specific involvement of the chemical compounds in a chemical reaction. Extraction of essential elements of a chemical reaction, generally known as Named Entity Recognition (NER), extracts the compounds, condition and yields, their specific role in reaction and assigns a label according to the role it plays within a chemical reaction. Whereas event extraction identifies the chemical event relations between the chemical compounds identified. Here in this work we have used Neural Conditional Random Fields (NCRF), which combines the power of artificial neural network (ANN) and CRFs. Different levels of features that include linguistic, orthographical and lexical clues are used. The results obtained are encouraging.


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Scalable Bio-Molecular Event Extraction System towards Knowledge Acquisition
Pattabhi RK Rao | Sindhuja Gopalan | Sobha Lalitha Devi
Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)


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A Hybrid Discourse Relation Parser in CoNLL 2015
Sobha Lalitha Devi | Sindhuja Gopalan | Lakshmi S. | Pattabhi RK Rao | Vijay Sundar Ram | Malarkodi C.S.
Proceedings of the Nineteenth Conference on Computational Natural Language Learning - Shared Task


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A Generic Anaphora Resolution Engine for Indian Languages
Sobha Lalitha Devi | Vijay Sundar Ram | Pattabhi RK Rao
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers


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Tamil NER - Coping with Real Time Challenges
Malarkodi C.S | Pattabhi RK Rao | Sobha Lalitha Devi
Proceedings of the Workshop on Machine Translation and Parsing in Indian Languages


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Hybrid Approach for Coreference Resolution
Lalitha Devi Sobha | Pattabhi RK Rao | R. Vijay Sundar Ram | CS. Malarkodi | A. Akilandeswari
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task


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How to Get the Same News from Different Language News Papers
T. Pattabhi R. K Rao | Sobha Lalitha Devi
Proceedings of the 4th Workshop on Cross Lingual Information Access