Pushpak Bhattacharyya

research

∙ 09/11/2023

Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric

Over the past two decades, dialogue modeling has made significant stride...

0 Abhisek Tiwari, et al. ∙

research

∙ 08/07/2023

KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering

Large language models (LLMs) have demonstrated remarkable performance in...

0 Ankush Agarwal, et al. ∙

research

∙ 08/06/2023

"We care": Improving Code Mixed Speech Emotion Recognition in Customer-Care Conversations

Speech Emotion Recognition (SER) is the task of identifying the emotion ...

0 N V S Abhishek, et al. ∙

research

∙ 08/06/2023

"Kurosawa": A Script Writer's Assistant

Storytelling is the lifeline of the entertainment industry – movies, TV ...

0 Prerak Gandhi, et al. ∙

research

∙ 08/06/2023

Decision Knowledge Graphs: Construction of and Usage in Question Answering for Clinical Practice Guidelines

In the medical domain, several disease treatment procedures have been do...

0 Vasudhan Varma Kandula, et al. ∙

research

∙ 06/10/2023

Adversarial Training For Low-Resource Disfluency Correction

Disfluencies commonly occur in conversational speech. Speech with disflu...

0 Vineet Bhat, et al. ∙

research

∙ 06/06/2023

"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation

Quality Estimation (QE) is the task of evaluating the quality of a trans...

0 Akshay Batheja, et al. ∙

research

∙ 06/01/2023

"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning

Well-formed context aware image captions and tags in enterprise content ...

0 Abisek Rajakumar Kalarani, et al. ∙

research

∙ 05/27/2023

A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection

Hyperbole and metaphor are common in day-to-day communication (e.g., "I ...

0 Naveen Badathala, et al. ∙

research

∙ 05/26/2023

DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction

Conversational speech often consists of deviations from the speech plan,...

0 Vineet Bhat, et al. ∙

research

∙ 05/21/2023

VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages

In this work, we present our deployment-ready Speech-to-Speech Machine T...

0 Shivam Mhaskar, et al. ∙

research

∙ 03/02/2023

Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT

We aim to investigate whether UNMT approaches with self-supervised pre-t...

0 Tamali Banerjee, et al. ∙

research

∙ 01/19/2023

Improving Machine Translation with Phrase Pair Injection and Corpus Filtering

In this paper, we show that the combination of Phrase Pair Injection and...

0 Akshay Batheja, et al. ∙

research

∙ 01/10/2023

There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering

The integration of knowledge graphs with deep learning is thriving in im...

0 Ankush Agarwal, et al. ∙

research

∙ 06/13/2022

Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation

Conventionally, the radiologist prepares the diagnosis notes and shares ...

0 Kaveri Kale, et al. ∙

research

∙ 06/05/2022

A Multimodal Corpus for Emotion Recognition in Sarcasm

While sentiment and emotion analysis have been studied extensively, the ...

12 Anupama Ray, et al. ∙

research

∙ 05/31/2022

Hollywood Identity Bias Dataset: A Context Oriented Bias Analysis of Movie Dialogues

Movies reflect society and also hold power to transform opinions. Social...

0 Sandhya Singh, et al. ∙

research

∙ 04/28/2022

HiNER: A Large Hindi Named Entity Recognition Dataset

Named Entity Recognition (NER) is a foundational NLP task that aims to p...

2 Rudra Murthy, et al. ∙

research

∙ 01/09/2022

Indian Language Wordnets and their Linkages with Princeton WordNet

Wordnets are rich lexico-semantic resources. Linked wordnets are extensi...

6 Diptesh Kanojia, et al. ∙

research

∙ 01/05/2022

Semi-automatic WordNet Linking using Word Embeddings

Wordnets are rich lexico-semantic resources. Linked wordnets are extensi...

18 Kevin Patel, et al. ∙

research

∙ 01/05/2022

Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History

This paper describes additional aspects of a digital tool called the 'Te...

2 Diptesh Kanojia, et al. ∙

research

∙ 12/30/2021

Utilizing Wordnets for Cognate Detection among Indian Languages

Automatic Cognate Detection (ACD) is a challenging task which has been u...

3 Diptesh Kanojia, et al. ∙

research

∙ 12/27/2021

"A Passage to India": Pre-trained Word Embeddings for Indian Languages

Dense word vectors or 'word embeddings' which encode semantic properties...

5 Kumar Saurav, et al. ∙

research

∙ 12/21/2021

A Survey on Using Gaze Behaviour for Natural Language Processing

Gaze behaviour has been used as a way to gather cognitive information fo...

0 Sandeep Mathias, et al. ∙

research

∙ 12/17/2021

Challenge Dataset of Cognates and False Friend Pairs from Indian Languages

Cognates are present in multiple variants of the same text across differ...

9 Diptesh Kanojia, et al. ∙

research

∙ 12/16/2021

Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages

Cognates are variants of the same lexical form across different language...

1 Diptesh Kanojia, et al. ∙

research

∙ 12/15/2021

Cognition-aware Cognate Detection

Automatic detection of cognates helps downstream NLP tasks of Machine Tr...

6 Diptesh Kanojia, et al. ∙

research

∙ 12/07/2021

Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction

Question Answering systems these days typically use template-based langu...

8 Manas Jain, et al. ∙

research

∙ 11/27/2021

Tapping BERT for Preposition Sense Disambiguation

Prepositions are frequently occurring polysemous words. Disambiguation o...

5 Siddhesh Pawar, et al. ∙

research

∙ 10/25/2021

"So You Think You're Funny?": Rating the Humour Quotient in Standup Comedy

Computational Humour (CH) has attracted the interest of Natural Language...

0 Anirudh Mittal, et al. ∙

research

∙ 09/22/2021

Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages

We explore the impact of leveraging the relatedness of languages that be...

6 Tejas Indulal Dhamecha, et al. ∙

research

∙ 06/09/2021

Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study

Recent advances in Unsupervised Neural Machine Translation (UNMT) have m...

0 Tamali Banerjee, et al. ∙

research

∙ 05/04/2021

Semantic Extractor-Paraphraser based Abstractive Summarization

The anthology of spoken languages today is inundated with textual inform...

13 Anubhav Jangra, et al. ∙

research

∙ 03/10/2021

Techniques for Jointly Extracting Entities and Relations: A Survey

Relation Extraction is an important task in Information Extraction which...

28 Sachin Pawar, et al. ∙

research

∙ 03/10/2021

Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text

We propose a knowledge-based approach for extraction of Cause-Effect (CE...

24 Sachin Pawar, et al. ∙

research

∙ 02/22/2021

Cognitively Aided Zero-Shot Automatic Essay Grading

Automatic essay grading (AEG) is a process in which machines assign a gr...

11 Sandeep Mathias, et al. ∙

research

∙ 02/01/2021

Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays

Most research in the area of automatic essay grading (AEG) is geared tow...

3 Rahul Kumar, et al. ∙

research

∙ 01/20/2021

Divide and Conquer: An Ensemble Approach for Hostile Post Detection in Hindi

Recently the NLP community has started showing interest towards the chal...

5 Varad Bhatnagar, et al. ∙

research

∙ 06/15/2020

Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel

Most of the past work in relation extraction deals with relations occurr...

0 Sachin Pawar, et al. ∙

research

∙ 05/25/2020

Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour

The gaze behaviour of a reader is helpful in solving several NLP tasks s...

0 Sandeep Mathias, et al. ∙

research

∙ 04/09/2020

Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study

Cross-domain sentiment analysis (CDSA) helps to address the problem of d...

0 Akash Sheoran, et al. ∙

research

∙ 03/19/2020

Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent

In this work, we present an extensive study of statistical machine trans...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 11/02/2019

Machine Translation Evaluation using Bi-directional Entailment

In this paper, we propose a new metric for Machine Translation (MT) eval...

0 Rakesh Khobragade, et al. ∙

research

∙ 10/30/2019

Ordering Matters: Word Ordering Aware Unsupervised NMT

Denoising-based Unsupervised Neural Machine Translation (U-NMT) models t...

12 Tamali Banerjee, et al. ∙

research

∙ 08/19/2019

Tale of tails using rule augmented sequence labeling for event extraction

The problem of event extraction is a relatively difficult task for low r...

0 Hrishikesh Patel, et al. ∙

research

∙ 05/14/2019

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis

Related tasks often have inter-dependence on each other and perform bett...

0 Md Shad Akhtar, et al. ∙

research

∙ 03/24/2019

Relation extraction between the clinical entities based on the shortest dependency path based LSTM

Owing to the exponential rise in the electronic medical records, informa...

0 Dhanachandra Ningthoujam, et al. ∙

research

∙ 11/12/2018

A Deep Ensemble Framework for Fake News Detection and Classification

Fake news, rumor, incorrect information, and misinformation detection ar...

0 Arjun Roy, et al. ∙

research

∙ 11/01/2018

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages

Transfer learning approaches for Neural Machine Translation (NMT) train ...

0 Rudra Murthy V, et al. ∙

research

∙ 11/01/2018

Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network

Suggestion mining is increasingly becoming an important task along with ...

0 Hitesh Golchha, et al. ∙

Pushpak Bhattacharyya

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