394 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Abilene Christian UniversityUS76 papers
- Panjab UniversityIN76 papers
- University of California, RiversideUS76 papers
- University of JammuIN76 papers
- Variable Energy Cyclotron CentreIN76 papers
- Brookhaven National LaboratoryUS75 papers
- Stony Brook UniversityUS75 papers
- Texas A&M UniversityUS75 papers
- University of HoustonUS75 papers
- American University in CairoEG74 papers
- The Ohio State UniversityUS74 papers
- Czech Technical University in PragueCZ73 papers
25 papers · 1 filter
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal +1
Large Language Models (LLMs) are rapidly reshaping machine translation (MT), particularly by introducing instruction-following, in-context learning, and preference-based alignment…
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs
Madhusudan Ghosh, Shrimon Mukherjee, Asmit Ganguly +3
In recent years, there has been a surge in the publication of clinical trial reports, making it challenging to conduct systematic reviews. Automatically extracting Population, Inte…
Computational Politeness in Natural Language Processing: A Survey
Priyanshu Priya, Mauajama Firdaus, Asif Ekbal
Computational approach to politeness is the task of automatically predicting and generating politeness in text. This is a pivotal task for conversational analysis, given the ubiqui…
Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization
Abhisek Tiwari, Anisha Saha, Sriparna Saha +2
With the advancement of telemedicine, both researchers and medical practitioners are working hand-in-hand to develop various techniques to automate various medical operations, such…
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
Baban Gain, Dibyanayan Bandyopadhyay, Samrat Mukherjee +2
Neural Machine Translation (NMT) has made remarkable progress using large-scale textual data, but the potential of incorporating multimodal inputs, especially visual information, r…
Multi-hop Question Answering
Vaibhav Mavi, Anubhav Jangra, Adam Jatowt
The task of Question Answering (QA) has attracted significant research interest for long. Its relevance to language understanding and knowledge retrieval tasks, along with the simp…
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
Jan Philip Wahle, Nischal Ashok, Terry Ruas +3
A drastic rise in potentially life-threatening misinformation has been a by-product of the COVID-19 pandemic. Computational support to identify false information within the massive…
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task
Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal
Neural Machine Translation (NMT) is a predominant machine translation technology nowadays because of its end-to-end trainable flexibility. However, NMT still struggles to translate…
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
Sriram Pingali, Shweta Yadav, Pratik Dutta +1
The recent advancement of pre-trained Transformer models has propelled the development of effective text mining models across various biomedical tasks. However, these models are pr…
Semantic Extractor-Paraphraser based Abstractive Summarization
Anubhav Jangra, Raghav Jain, Vaibhav Mavi +2
The anthology of spoken languages today is inundated with textual information, necessitating the development of automatic summarization models. In this manuscript, we propose an ex…
Leveraging Multi-domain, Heterogeneous Data using Deep Multitask Learning for Hate Speech Detection
Prashant Kapil, Asif Ekbal
With the exponential rise in user-generated web content on social media, the proliferation of abusive languages towards an individual or a group across the different sections of th…
Cognitively Aided Zero-Shot Automatic Essay Grading
Sandeep Mathias, Rudra Murthy, Diptesh Kanojia +1
Automatic essay grading (AEG) is a process in which machines assign a grade to an essay written in response to a topic, called the prompt. Zero-shot AEG is when we train a system t…
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta, Rajkumar Pujari, Asif Ekbal +4
In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep lea…
EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
Soumitra Ghosh, Arkaprava Roy, Asif Ekbal +1
In this paper, we describe the systems submitted by our IITP-AINLPML team in the shared task of SocialNLP 2020, EmotionGIF 2020, on predicting the category(ies) of a GIF response f…
Hostility Detection Dataset in Hindi
Mohit Bhardwaj, Md Shad Akhtar, Asif Ekbal +2
In this paper, we present a novel hostility detection dataset in Hindi language. We collect and manually annotate ~8200 online posts. The annotated dataset covers four hostility di…
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
Along with COVID-19 pandemic we are also fighting an `infodemic'. Fake news and rumors are rampant on social media. Believing in rumors can cause significant harm. This is further…
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering
Deepak Gupta, Swati Suman, Asif Ekbal
Visual Question Answering in Medical domain (VQA-Med) plays an important role in providing medical assistance to the end-users. These users are expected to raise either a straightf…
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework
Shweta Yadav, Srivatsa Ramesh, Sriparna Saha +1
To minimize the accelerating amount of time invested in the biomedical literature search, numerous approaches for automated knowledge extraction have been proposed. Relation extrac…
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
Arjun Roy, Pavlos Fafalios, Asif Ekbal +2
Fact checking is an essential challenge when combating fake news. Identifying documents that agree or disagree with a particular statement (claim) is a core task in this process. I…
A Deep Neural Framework for Contextual Affect Detection
Kumar Shikhar Deep, Asif Ekbal, Pushpak Bhattacharyya
A short and simple text carrying no emotion can represent some strong emotions when reading along with its context, i.e., the same sentence can express extreme anger as well as hap…
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis
Abhishek Kumar, Asif Ekbal, Daisuke Kawahra +1
In this paper, we propose a two-layered multi-task attention based neural network that performs sentiment analysis through emotion analysis. The proposed approach is based on Bidir…
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh +1
This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019) shared task. We participated in all the three task…
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
Md Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal +3
Related tasks often have inter-dependence on each other and perform better when solved in a joint framework. In this paper, we present a deep multi-task learning framework that joi…
Relation extraction between the clinical entities based on the shortest dependency path based LSTM
Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya +1
Owing to the exponential rise in the electronic medical records, information extraction in this domain is becoming an important area of research in recent years. Relation extractio…