← Applications
Natural Language Processing › Applications ›

Intent Classification

514 directly classified papers

Papers per year

Papers

Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus EMNLP 2019
Hybrid Arbitration Using Raw ASR String and NLU Information — Taking the Best of Both Embedded World and Cloud World INTERSPEECH 2019
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums SEMEVAL 2019
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding EMNLP 2019
Cross-lingual intent classification in a low resource industrial setting IJCNLP 2019
Deep Unknown Intent Detection with Margin Loss ACL 2019
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots EMNLP 2019
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction EMNLP 2019
Cross-lingual intent classification in a low resource industrial setting EMNLP 2019
CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots IJCNLP 2019
Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019
WAIS: Word Attention for Joint Intent Detection and Slot Filling AAAI 2019
Commonsense inference in human-robot communication EMNLP 2019
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations INTERSPEECH 2019
SimVecs: Similarity-Based Vectors for Utterance Representation in Conversational AI Systems CONLL 2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding EMNLP 2019
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding IJCNLP 2019
Memory Consolidation for Contextual Spoken Language Understanding with Dialogue Logistic Inference ACL 2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding IJCNLP 2019
DSTC7 Task 1: Noetic End-to-End Response Selection ACL 2019
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling NAACL 2019
Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU Learning INTERSPEECH 2019
Metric Learning for Dynamic Text Classification EMNLP 2019
A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection IJCNLP 2019
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning SEMEVAL 2019