Ahsaas Bajaj

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 7

Top Topics

Document Summarization

Semantic Parsing

Top Venues

Computación y Sistemas

Publications

Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) (2021)
Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. EMNLP (Findings) (2020)
Shubham Krishna, Ahsaas Bajaj, Mukund Rungta, Vanraj Vala, Hemant Tiwari
RelEmb: A Relevance-based Application Embedding for Mobile App Retrieval and Categorization. Computación y Sistemas 23 (3) (2019)
Ahsaas Bajaj, Hemant Tiwari, Vanraj Vala
Enhanced Learning to Rank using Cluster-loss Adjustment. COMAD/CODS (2019)
Ahsaas Bajaj, Shubham Krishna, Mukund Rungta, Hemant Tiwari, Vanraj Vala
RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization. CoRR (2019)
Ahsaas Bajaj, Shubham Krishna, Hemant Tiwari, Vanraj Vala
Learning Mobile App Embeddings Using Multi-task Neural Network. NLDB (2019)