conftrace_

natural language understanding

846 papers

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Also known as

NLU NLUS

Co-occurring keywords

large language model (13587) question answering (2963) text classification (6793) dialogue system (1667) language model (4599) semantic analysis (785) intent classification (372) transfer learning (5449) semantic parsing (960) benchmark evaluation (1556)

Papers

Extreme Model Compression for On-device Natural Language Understanding COLING 2020
PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020
Unsupervised Domain Adaptation on Reading Comprehension AAAI 2020
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension COLING 2020
KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation COLING 2020
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense COLING 2020
Semantic Diversity for Natural Language Understanding Evaluation in Dialog Systems COLING 2020
Evaluating Cross-Lingual Transfer Learning Approaches in Multilingual Conversational Agent Models COLING 2020
Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition COLING 2020
CLUE: A Chinese Language Understanding Evaluation Benchmark COLING 2020
Conversational Machine Comprehension: a Literature Review COLING 2020
An adaptable task-oriented dialog system for stand-alone embedded devices ACL 2019
A Split-and-Recombine Approach for Follow-up Query Analysis EMNLP 2019
Multi-Matching Network for Multiple Choice Reading Comprehension AAAI 2019
Active Learning for New Domains in Natural Language Understanding NAACL 2019
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG EMNLP 2019
From Virtual to Real: A Framework for Verbal Interaction with Robots NAACL 2019
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot IJCAI 2019
Meaning Representation of Null Instantiated Semantic Roles in FrameNet ACL 2019
A Comparison of Deep Learning Methods for Language Understanding INTERSPEECH 2019
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots EMNLP 2019
Paraphrase Generation for Semi-Supervised Learning in NLU NAACL 2019
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets EMNLP 2019
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation ACL 2019
Seeing Things from a Different Angle:Discovering Diverse Perspectives about Claims NAACL 2019