1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
Yanlin Feng, Adithya Pratapa, David R Mortensen
Ultra-fine entity typing plays a crucial role in information extraction by predicting fine-grained semantic types for entity mentions in text. However, this task poses significant…
cs.CL2023
Background Summarization of Event Timelines
Adithya Pratapa, Kevin Small, Markus Dreyer
Generating concise summaries of news events is a challenging natural language processing task. While journalists often curate timelines to highlight key sub-events, newcomers to a…
cs.CL2023
Hierarchical Event Grounding
Jiefu Ou, Adithya Pratapa, Rishubh Gupta +1
Event grounding aims at linking mention references in text corpora to events from a knowledge base (KB). Previous work on this task focused primarily on linking to a single KB even…