P
Pushpak Bhattacharyya
Researcher at Indian Institute of Technology Patna
Publications - 576
Citations - 8724
Pushpak Bhattacharyya is an academic researcher from Indian Institute of Technology Patna. The author has contributed to research in topics: Machine translation & WordNet. The author has an hindex of 38, co-authored 576 publications receiving 6465 citations. Previous affiliations of Pushpak Bhattacharyya include Xerox & IBM.
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The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification
TL;DR: An effective system using voting ensemble classifiers to detect contextually complex words for non-native English speakers and falls within 0.026 percent of the best-performing model’s score in the shared task is presented.
Proceedings ArticleDOI
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features
TL;DR: A Long short term memory (LSTM) based architecture cascaded with Support Vector Regressor (SVR) for intensity prediction and Particle Swarm Optimization based feature selection algorithm for obtaining an optimized feature set for training and evaluation.
Proceedings Article
Value for Money: Balancing Annotation Effort, Lexicon Building and Accuracy for Multilingual WSD
TL;DR: A measure for cost-benefit analysis which measures the "value for money" earned in terms of accuracy by investing in annotation effort and lexicon building and the use of selective sampling to inject a few training examples for hard-to-disambiguate words from the target language to boost the accuracy.
Posted Content
Harnessing Cognitive Features for Sarcasm Detection
TL;DR: This paper proposes a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive features extracted from eye-movement patterns of human readers, with augmented cognitive features obtained from readers eye movement data.
Proceedings Article
Automated Paradigm Selection for FSA based Konkani Verb Morphological Analyzer
TL;DR: The architecture and implementation details of a Corpus assisted FSA approach for build ing a Verb Morphological Analyzer and the paradigm def inition methodology used for the verbs in a morphologically rich Indian Language Konkani are presented.