Search Results for author: Pruthwik Mishra

Found 11 papers, 0 papers with code

Annotated Corpus for Sentiment Analysis in Odia Language

no code implementations LREC 2020 Gaurav Mohanty, Pruthwik Mishra, Radhika Mamidi

Given the lack of an annotated corpus of non-traditional Odia literature which serves as the standard when it comes sentiment analysis, we have created an annotated corpus of Odia sentences and made it publicly available to promote research in the field.

Sentiment Analysis

Linguistically Informed Hindi-English Neural Machine Translation

no code implementations LREC 2020 Vikrant Goyal, Pruthwik Mishra, Dipti Misra Sharma

Hindi-English Machine Translation is a challenging problem, owing to multiple factors including the morphological complexity and relatively free word order of Hindi, in addition to the lack of sufficient parallel training data.

Machine Translation POS +1

Arabic Dialect Identification for Travel and Twitter Text

no code implementations WS 2019 Pruthwik Mishra, V Mujadia, an

This paper presents the results of the experiments done as a part of MADAR Shared Task in WANLP 2019 on Arabic Fine-Grained Dialect Identification.

Dialect Identification Language Modelling

IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches

no code implementations IJCNLP 2017 D, Prathyusha a, Pruthwik Mishra, Silpa Kanneganti, Soujanya Lanka

In this paper, we describe our approach to this problem and the results on four languages, i. e. English, French, Japanese and Spanish.

IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification

no code implementations IJCNLP 2017 Pruthwik Mishra, D, Prathyusha a, Silpa Kanneganti, Soujanya Lanka

In this paper, we describe our approaches and results for modeling the ranking of reviews based on their usefulness score, this being the first of the three subtasks under this shared task.

Decision Making

Deep Neural Network based system for solving Arithmetic Word problems

no code implementations IJCNLP 2017 Purvanshi Mehta, Pruthwik Mishra, Vinayak Athavale, Manish Shrivastava, Dipti Sharma

The worldstate and the query are processed separately in two different networks and finally, the networks are merged to predict the final operation.

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