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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...
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08/07/2023
KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering
Large language models (LLMs) have demonstrated remarkable performance in...
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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 ...
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08/06/2023
"Kurosawa": A Script Writer's Assistant
Storytelling is the lifeline of the entertainment industry – movies, TV ...
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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...
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06/10/2023
Adversarial Training For Low-Resource Disfluency Correction
Disfluencies commonly occur in conversational speech. Speech with disflu...
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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...
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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 ...
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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 ...
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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,...
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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...
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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...
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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...
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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...
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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 ...
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06/05/2022
A Multimodal Corpus for Emotion Recognition in Sarcasm
While sentiment and emotion analysis have been studied extensively, the ...
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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...
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04/28/2022
HiNER: A Large Hindi Named Entity Recognition Dataset
Named Entity Recognition (NER) is a foundational NLP task that aims to p...
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01/09/2022
Indian Language Wordnets and their Linkages with Princeton WordNet
Wordnets are rich lexico-semantic resources. Linked wordnets are extensi...
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01/05/2022
Semi-automatic WordNet Linking using Word Embeddings
Wordnets are rich lexico-semantic resources. Linked wordnets are extensi...
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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...
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12/30/2021
Utilizing Wordnets for Cognate Detection among Indian Languages
Automatic Cognate Detection (ACD) is a challenging task which has been u...
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12/27/2021
"A Passage to India": Pre-trained Word Embeddings for Indian Languages
Dense word vectors or 'word embeddings' which encode semantic properties...
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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...
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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...
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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...
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12/15/2021
Cognition-aware Cognate Detection
Automatic detection of cognates helps downstream NLP tasks of Machine Tr...
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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...
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11/27/2021
Tapping BERT for Preposition Sense Disambiguation
Prepositions are frequently occurring polysemous words. Disambiguation o...
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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...
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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...
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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...
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05/04/2021
Semantic Extractor-Paraphraser based Abstractive Summarization
The anthology of spoken languages today is inundated with textual inform...
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03/10/2021
Techniques for Jointly Extracting Entities and Relations: A Survey
Relation Extraction is an important task in Information Extraction which...
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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...
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02/22/2021
Cognitively Aided Zero-Shot Automatic Essay Grading
Automatic essay grading (AEG) is a process in which machines assign a gr...
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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...
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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...
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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...
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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...
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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...
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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...
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11/02/2019
Machine Translation Evaluation using Bi-directional Entailment
In this paper, we propose a new metric for Machine Translation (MT) eval...
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10/30/2019
Ordering Matters: Word Ordering Aware Unsupervised NMT
Denoising-based Unsupervised Neural Machine Translation (U-NMT) models t...
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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...
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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...
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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...
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11/12/2018
A Deep Ensemble Framework for Fake News Detection and Classification
Fake news, rumor, incorrect information, and misinformation detection ar...
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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 ...
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11/01/2018
