Publications (20)
-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
Zhen Wu, Ritam Dutt, Luke M. Breitfeller +3
Relational reasoning lies at the core of many NLP tasks, drawing on complementary signals from text and graphs. While prior research has investigated how to leverage this dual comp…
Chemical Reaction Extraction from Long Patent Documents
Aishwarya Jadhav, Ritam Dutt
The task of searching through patent documents is crucial for chemical patent recommendation and retrieval. This can be enhanced by creating a patent knowledge base (ChemPatKB) to…
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
Kaustubh Hiware, Ritam Dutt, Sayan Sinha +3
Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario…
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
Ritam Dutt, Zhen Wu, Kelly Shi +3
We present a generalizable classification approach that leverages Large Language Models (LLMs) to facilitate the detection of implicitly encoded social meaning in conversations. We…
Linguistic representations for fewer-shot relation extraction across domains
Sireesh Gururaja, Ritam Dutt, Tinglong Liao +1
Recent work has demonstrated the positive impact of incorporating linguistic representations as additional context and scaffolding on the in-domain performance of several NLP tasks…
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban +10
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills. However, there have been relative…