Search Results for author: D

Found 26 papers, 2 papers with code

Code-mixed parse trees and how to find them

no code implementations LREC 2020 Anirudh Srinivasan, D, S apat, ipan, Monojit Choudhury

In this paper, we explore the methods of obtaining parse trees of code-mixed sentences and analyse the obtained trees.

INMT: Interactive Neural Machine Translation Prediction

1 code implementation IJCNLP 2019 Sebastin Santy, D, S apat, ipan, Monojit Choudhury, Kalika Bali

In this paper, we demonstrate an Interactive Machine Translation interface, that assists human translators with on-the-fly hints and suggestions.

Machine Translation Translation

Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification

no code implementations ACL 2018 Raksha Sharma, Pushpak Bhattacharyya, D, S apat, ipan, Himanshu Sharad Bhatt

In this paper, we propose that words that do not change their polarity and significance represent the transferable (usable) information across domains for cross-domain sentiment classification.

Classification Domain Adaptation +5

Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data

no code implementations ACL 2018 Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, D, S apat, ipan, Kalika Bali

Training language models for Code-mixed (CM) language is known to be a difficult problem because of lack of data compounded by the increased confusability due to the presence of more than one language.

Automatic Speech Recognition (ASR) Language Identification +3

High performing all-solid electrochemical capacitor using chitosan/poly(acrylamide-co-diallyldimethylammonium chloride) as anion conducting membranes

no code implementations Electrochimica Acta 2018 Bei Ao a, Yanan Wei a, Min Wang a, Yixiao Cai a, D, *, Keryn Lian c, Jinli Qiao a, B, **

The aim of the present work is to demonstrate a novel alkaline anion-exchange membrane composed of chitosan (CS) and poly (acrylamid-co-diallyldimethylammonium chloride) (PAADDA) for electrical double layer capacitors (EDLCs).

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

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.

Scoring Disease-Medication Associations using Advanced NLP, Machine Learning, and Multiple Content Sources

no code implementations WS 2016 D, Bharath ala, Murthy Devarakonda, Mihaela Bornea, Christopher Nielson

In predicting positive associations, the stacked combination significantly outperformed the baseline (a distant semi-supervised method on large medical text), achieving F scores of 0. 75 versus 0. 55 on the pairs seen in the patient records, and F scores of 0. 69 and 0. 35 on unique pairs.

BIG-bench Machine Learning

A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading

no code implementations WS 2016 Shourya Roy, D, S apat, ipan, Y. Narahari

We offer a fluctuation smoothing computational approach for unsupervised automatic short answer grading (ASAG) techniques in the educational ecosystem.

Sequential Pattern Mining

MTWatch: A Tool for the Analysis of Noisy Parallel Data

no code implementations LREC 2014 D, S apat, ipan, Declan Groves

State-of-the-art statistical machine translation (SMT) technique requires a good quality parallel data to build a translation model.

Classification General Classification +3

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