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Natural Language Understanding

67 papers

Papers per year

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Papers

Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models EMNLP 2024
BookWorm: A Dataset for Character Description and Analysis EMNLP 2024
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues EMNLP 2024
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification ACL 2023
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home ACL 2023
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing EMNLP 2023
QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing EMNLP 2023
Aligning Language Models to User Opinions EMNLP 2023
tagE: Enabling an Embodied Agent to Understand Human Instructions EMNLP 2023
MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling EMNLP 2023
A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting EMNLP 2023
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022
VALUE: Understanding Dialect Disparity in NLU ACL 2022
Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding EMNLP 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU EMNLP 2022
Identifying Physical Object Use in Sentences EMNLP 2022
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs AAAI 2021
Inverse Reinforcement Learning with Natural Language Goals AAAI 2021
Knowledge-driven Natural Language Understanding of English Text and its Applications AAAI 2021
Exploring Transfer Learning For End-to-End Spoken Language Understanding AAAI 2021
Semantics-Aware Inferential Network for Natural Language Understanding AAAI 2021
Event-Centric Natural Language Processing ACL 2021
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems EMNLP 2021
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding EMNLP 2021