AIConfPaper
← Search

Mukund Sridhar

4 accepted papers

2023

An Empirical Analysis of Leveraging Knowledge for Low-Resource Task-Oriented Semantic Parsing

Mayank Kulkarni, Aoxiao Zhong, Nicolas Guenon des mesnards, Sahar Movaghati, Mukund Sridhar, He Xie +1
ACL 2023findings

Task-oriented semantic parsing has drawn a lot of interest from the NLP community, and especially the voice assistant industry as it enables representing the meaning of user requests with arbitrarily nested semantics, including multiple intents and compound entities. SOTA models are large seq2seq tr…

Cited by 0Source ↗PDF ↗code ↗Scholar ↗
2022

Advin: Automatically Discovering Novel Domains and Intents from User Text Utterances

Nikhita Vedula, Rahul Gupta, Aman Alok, Mukund Sridhar, Shankar Ananthakrishnan
ICASSP 2022accepted

Recognizing the intents and domains of users’ spoken and written language is a key component of Natural Language Understanding (NLU) systems. Real applications however encounter dynamic, rapidly evolving environments with newly emerging intents and domains, for which no labeled data or prior informa…

Cited by 0Source ↗Scholar ↗
2022

Instilling Type Knowledge in Language Models via Multi-Task QA

Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian McAuley
NAACL 2022findings

Understanding human language often necessitates understanding entities and their place in a taxonomy of knowledge—their types.Previous methods to learn entity types rely on training classifiers on datasets with coarse, noisy, and incomplete labels. We introduce a method to instill fine-grained type…

Cited by 10Source ↗PDF ↗code ↗Scholar ↗
2021

Towards Realistic Single-Task Continuous Learning Research for NER

Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar +1
EMNLP 2021finding

There is an increasing interest in continuous learning (CL), as data privacy is becoming a priority for real-world machine learning applications. Meanwhile, there is still a lack of academic NLP benchmarks that are applicable for realistic CL settings, which is a major challenge for the advancement…

Cited by 6Source ↗PDF ↗code ↗Scholar ↗