natural language understanding

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding AACL 2020 Intent Segmentation of User Queries Via Discourse Parsing AACL 2020 Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning EMNLP 2020 ISA: An Intelligent Shopping Assistant AACL 2020 jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models ACL 2020 KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation SemEval 2020 KLEJ: Comprehensive Benchmark for Polish Language Understanding ACL 2020 Language (Re)modelling: Towards Embodied Language Understanding ACL 2020 Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language AAAI 2020 Learning Conceptual-Contextual Embeddings for Medical Text AAAI 2020 Learning to Map Frequent Phrases to Sub-Structures of Meaning Representation for Neural Semantic Parsing AAAI 2020 Leveraging User Paraphrasing Behavior In Dialog Systems To Automatically Collect Annotations For Long-Tail Utterances COLING 2020 LiMiT: The Literal Motion in Text Dataset EMNLP 2020 Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives EMNLP 2020 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining EMNLP 2020 Merging Weak and Active Supervision for Semantic Parsing AAAI 2020 metaCAT: A Metadata-based Task-oriented Chatbot Annotation Tool AACL 2020 Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance ACL 2020 Modelling a Conversational Agent with Complex Emotional Intelligence AAAI 2020 MOSS: End-to-End Dialog System Framework with Modular Supervision AAAI 2020 Multi-Channel Reverse Dictionary Model AAAI 2020 Multi-Point Semantic Representation for Intent Classification AAAI 2020 Multi-resolution Annotations for Emoji Prediction EMNLP 2020 Neural Conversational QA: Learning to Reason vs Exploiting Patterns EMNLP 2020 NLU-Co at SemEval-2020 Task 5: NLU/SVM Based Model Apply Tocharacterise and Extract Counterfactual Items on Raw Data SemEval 2020