273 citations · 567 across the 43 of their papers we have counts for
13 papers · 2 filters
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…
Assessing the Severity of Health States based on Social Media Posts
Shweta Yadav, Joy Prakash Sain, Amit Sheth +3
The unprecedented growth of Internet users has resulted in an abundance of unstructured information on social media including health forums, where patients request health-related i…
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…
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation
Zishan Ahmad, Mukuntha N S, Asif Ekbal +1
Text generator systems have become extremely popular with the advent of recent deep learning models such as encoder-decoder. Controlling the information and style of the generated…
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…
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media
Prashant Kapil, Asif Ekbal, Dipankar Das
The phenomenal growth on the internet has helped in empowering individual's expressions, but the misuse of freedom of expression has also led to the increase of various cyber crime…
A Deep Learning Approach for Automatic Detection of Fake News
Tanik Saikh, Arkadipta De, Asif Ekbal +1
Fake news detection is a very prominent and essential task in the field of journalism. This challenging problem is seen so far in the field of politics, but it could be even more c…
Reinforced Multi-task Approach for Multi-hop Question Generation
Deepak Gupta, Hardik Chauhan, Akella Ravi Tej +2
Question generation (QG) attempts to solve the inverse of question answering (QA) problem by generating a natural language question given a document and an answer. While sequence t…
Related Tasks can Share! A Multi-task Framework for Affective language
Kumar Shikhar Deep, Md Shad Akhtar, Asif Ekbal +1
Expressing the polarity of sentiment as 'positive' and 'negative' usually have limited scope compared with the intensity/degree of polarity. These two tasks (i.e. sentiment classif…
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…