Jyoti Pawar

Also published as: Jyoti D Pawar, Jyoti D. Pawar


2017

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IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features
Md Shad Akhtar | Palaash Sawant | Asif Ekbal | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

This paper describes the system that we submitted as part of our participation in the shared task on Emotion Intensity (EmoInt-2017). We propose a Long short term memory (LSTM) based architecture cascaded with Support Vector Regressor (SVR) for intensity prediction. We also employ Particle Swarm Optimization (PSO) based feature selection algorithm for obtaining an optimized feature set for training and evaluation. System evaluation shows interesting results on the four emotion datasets i.e. anger, fear, joy and sadness. In comparison to the other participating teams our system was ranked 5th in the competition.

2016

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Use of Semantic Knowledge Base for Enhancement of Coherence of Code-mixed Topic-Based Aspect Clusters
Kavita Asnani | Jyoti D Pawar
Proceedings of the 13th International Conference on Natural Language Processing

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IndoWordNet Conversion to Web Ontology Language (OWL)
Apurva Nagvenkar | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the 8th Global WordNet Conference (GWC)

WordNet plays a significant role in Linked Open Data (LOD) cloud. It has numerous application ranging from ontology annotation to ontology mapping. IndoWordNet is a linked WordNet connecting 18 Indian language WordNets with Hindi as a source WordNet. The Hindi WordNet was initially developed by linking it to English WordNet. In this paper, we present a data representation of IndoWordNet in Web Ontology Language (OWL). The schema of Princeton WordNet has been enhanced to support the representation of IndoWordNet. This IndoWordNet representation in OWL format is now available to link other web resources. This representation is implemented for eight Indian languages.

2015

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Let Sense Bags Do Talking: Cross Lingual Word Semantic Similarity for English and Hindi
Apurva Nagvenkar | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the 12th International Conference on Natural Language Processing

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Logistic Regression for Automatic Lexical Level Morphological Paradigm Selection for Konkani Nouns
Shilpa Desai | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the 12th International Conference on Natural Language Processing

2014

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Concept Space Synset Manager Tool
Apurva Nagvenkar | Neha Prabhugaonkar | Venkatesh Prabhu | Ramdas Karmali | Jyoti Pawar
Proceedings of the Seventh Global Wordnet Conference

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Use of Sense Marking for Improving WordNet Coverage
Neha Prabhugaonkar | Jyoti Pawar
Proceedings of the Seventh Global Wordnet Conference

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Proceedings of the 11th International Conference on Natural Language Processing
Dipti Misra Sharma | Rajeev Sangal | Jyoti D. Pawar
Proceedings of the 11th International Conference on Natural Language Processing

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AutoParSe: An Automatic Paradigm Selector For Nouns in Konkani
Shilpa Desai | Neenad Desai | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the 11th International Conference on Natural Language Processing

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A Framework for Learning Morphology using Suffix Association Matrix
Shilpa Desai | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of the Fifth Workshop on South and Southeast Asian Natural Language Processing

2012

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Automated Paradigm Selection for FSA based Konkani Verb Morphological Analyzer
Shilpa Desai | Jyoti Pawar | Pushpak Bhattacharyya
Proceedings of COLING 2012: Demonstration Papers

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BIS Annotation Standards With Reference to Konkani Language
Madhavi Sardesai | Jyoti Pawar | Shantaram Walawalikar | Edna Vaz
Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing