Gaurav Kumar

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

2019 · arXiv (Cornell University)

Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing largely on training-time improvements via reinforcement learning and memory augmentation. …

Real-Time Hashtag based Event Detection Model with Sentiment Analysis for Recommending user Tweets

2021 · 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)

Recently, the usage of Social Networking Sites (SNS) has increased tremendously. People use online social networking applications like Twitter to specify their opinions and feelings about many topics which they produce an awesome amount of …

An Effective Bootstrapping Framework for Web Services Discovery Using Trigram Approach

2022 · Mobile Information Systems

Web services are progressively being used to comprehend service-oriented architectures. Web services facilitate the integration of applications and simplify interoperability. Additionally, it assists in wrapping accessible applications in order for developers to access them using …

Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Applying large, proprietary API-based language models to text-to-SQL tasks poses a significant industry challenge: reliance on massive, schema-heavy prompts results in prohibitive per-token API costs and high latency, hindering scalable production deployment. We present a …

Curriculum Learning for Domain Adaptation in Neural Machine Translation

2019

Xuan Zhang, Pamela Shapiro, Gaurav Kumar, Paul McNamee, Marine Carpuat, Kevin Duh. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and …