108 citations · 211 across the 12 of their papers we have counts for
13 papers
Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya +2
While deep learning approaches represent the state-of-the-art of natural language processing (NLP) today, classical algorithms and approaches still find a place in NLP textbooks an…
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
Ashutosh Kumar, Aditya Joshi
While fine-tuning pre-trained models for downstream classification is the conventional paradigm in NLP, often task-specific nuances may not get captured in the resultant models. Sp…
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis:Findings of A 20 Domain Study
Akash Sheoran, Diptesh Kanojia, Aditya Joshi +1
Cross-domain sentiment analysis (CDSA) helps to address the problem of data scarcity in scenarios where labelled data for a domain (known as the target domain) is unavailable or in…
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
Adith Iyer, Aditya Joshi, Sarvnaz Karimi +2
Personal health mention detection deals with predicting whether or not a given sentence is a report of a health condition. Past work mentions errors in this prediction when symptom…
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2
Distributed representations of text can be used as features when training a statistical classifier. These representations may be created as a composition of word vectors or as cont…
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2
Epidemic intelligence deals with the detection of disease outbreaks using formal (such as hospital records) and informal sources (such as user-generated text on the web) of informa…