Aditya Joshi

Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy

2024 · arXiv (Cornell University)

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 and courses of recent years. This paper discusses the perspectives of …

Study of Cybersecurity Laws and Regulations

2024 · Indian Journal of Law.

In the modern digital era, cybersecurity has become a crucial field due to the increase in cyberthreats and assaults, which pose serious hazards to people, businesses, and countries. To meet these changing difficulties, a wide …

What am I missing here?: Evaluating Large Language Models for Masked Sentence Prediction

2025 · arXiv (Cornell University)

Transformer-based models primarily rely on Next Token Prediction (NTP), which predicts the next token in a sequence based on the preceding context. However, NTP's focus on single-token prediction often limits a model's ability to plan …

Are Word Embedding-based Features Useful for Sarcasm Detection?

2016

This paper makes a simple increment to state-of-the-art in sarcasm detection research. Existing approaches are unable to capture subtle forms of context incongruity which lies at the heart of sarcasm. We explore if prior work …

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text

2016 · International Conference on Computational Linguistics

Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. Advances in this area are impeded by the lack …