A5009569091- Topic Modeling
- Biomedical Text Mining and Ontologies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Gaze Tracking and Assistive Technology
- Machine Learning in Bioinformatics
- Authorship Attribution and Profiling
- Genetics, Bioinformatics, and Biomedical Research
- Artificial Intelligence in Law
- vaccines and immunoinformatics approaches
- Natural Language Processing Techniques
- Image Retrieval and Classification Techniques
Indian Institute of Technology Delhi
2021-2023
Abstract The coronavirus disease 2019 (COVID-19) pandemic has been severely impacting global society since December 2019. related findings such as vaccine and drug development have reported in biomedical literature—at a rate of about 10 000 articles on COVID-19 per month. Such rapid growth significantly challenges manual curation interpretation. For instance, LitCovid is literature database COVID-19-related PubMed, which accumulated more than 200 with millions accesses each month by users...
Reading and comprehension are quintessentially cognitive tasks. Eye movement acts as a surrogate to understand which part of sentence is critical the process comprehension. The aim shared task predict five eye-tracking features for given word input sentence. We experimented with several models based on LGBM (Light Gradient Boosting Machine) Regression, ANN (Artificial Neural Network), CNN (Convolutional using BERT embeddings some combination linguistic features. Our submission achieved an...
The COVID-19 pandemic has been severely impacting global society since December 2019. Massive research undertaken to understand the characteristics of virus and design vaccines drugs. related findings have reported in biomedical literature at a rate about 10,000 articles on per month. Such rapid growth significantly challenges manual curation interpretation. For instance, LitCovid is database COVID-19-related PubMed, which accumulated more than 200,000 with millions accesses each month by...
Natural Language Processing techniques can be leveraged to process legal proceedings for various downstream applications, such as sum- marization of a given judgement, prediction the judgement case, prece- dent search, among others. These applications will benefit from documents already segmented into topically coherent units. The current task, namely, Rhetorical Role Pre- diction, aims at categorising each sentence in sequence sentences document different labels. system proposed this work...
Multi-label text classification aims at assigning more than one class to a given document, which makes the task ambiguous and challenging same time. The ambiguities come from fact that often several labels in prescribed label set are semantically close each other, making clear demarcation between them difficult. As consequence, any Machine Learning based approach for developing multi-label scheme needs define its feature space by choosing features beyond linguistic or semi-linguistic...
The task ValueEval aims at assigning a sub- set of possible human value categories under- lying given argument. Values behind argu- ments are often determinants to evaluate the relevance and importance decisions in eth- ical sense, thereby making them essential for argument mining. work presented here proposes two systems same. Both sys- tems use RoBERTa encode sentences each document. System1 makes features ob- tained from training models auxiliary tasks, whereas System2 combines with topic...
Patronizing and condescending language (PCL) can find its way into many mediums of public discourse. Presence PCL in text produce negative effects the society. The challenge presented by task emerges from subtleties various data dependent constraints. Hence, developing techniques to detect text, before it is propagated vital. aim this paper twofold, a) present systems that be used classify a as containing or not, b) assign different categories text. proposed are primarily rooted...