natural language understanding

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English ACL 2022 Lightweight Transformers for Conversational AI NAACL 2022 Local Structure Matters Most in Most Languages AACL 2022 Local Structure Matters Most: Perturbation Study in NLU ACL 2022 M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database ACL 2022 Machine Reading, Fast and Slow: When Do Models “Understand” Language? COLING 2022 mcBERT: Momentum Contrastive Learning with BERT for Zero-Shot Slot Filling Interspeech 2022 MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation AAAI 2022 NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries? EMNLP 2022 NepBERTa: Nepali Language Model Trained in a Large Corpus AACL 2022 Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs EMNLP 2022 NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue NAACL 2022 Noun-MWP: Math Word Problems Meet Noun Answers COLING 2022 Nowruz at SemEval-2022 Task 7: Tackling Cloze Tests with Transformers and Ordinal Regression SemEval 2022 NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL 2022 On joint training with interfaces for spoken language understanding Interspeech 2022 On The Ingredients of an Effective Zero-shot Semantic Parser ACL 2022 Parameter-Efficient Tuning Makes a Good Classification Head EMNLP 2022 Probing GPT-3’s Linguistic Knowledge on Semantic Tasks EMNLP 2022 PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks EMNLP 2022 Programmable Annotation with Diversed Heuristics and Data Denoising COLING 2022 Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models EMNLP 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 QuALITY: Question Answering with Long Input Texts, Yes! NAACL 2022 R-AT: Regularized Adversarial Training for Natural Language Understanding EMNLP 2022