naacl 2019 论文列表
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 2 (Industry Papers).
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Content-based Dwell Time Engagement Prediction Model for News Articles.
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems.
In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data.
Audio De-identification - a New Entity Recognition Task.
Neural Text Normalization with Subword Units.
Cross-lingual Transfer Learning for Japanese Named Entity Recognition.
TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy.
Robust Semantic Parsing with Adversarial Learning for Domain Generalization.
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering.
A k-Nearest Neighbor Approach towards Multi-level Sequence Labeling.
Improving Knowledge Base Construction from Robust Infobox Extraction.
Extraction of Message Sequence Charts from Software Use-Case Descriptions.
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering.
Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System.
Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise-grade Dialog Systems.
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation.
Active Learning for New Domains in Natural Language Understanding.
Neural Lexicons for Slot Tagging in Spoken Language Understanding.
A Case Study on Neural Headline Generation for Editing Support.
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce.
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features.
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting.
Diversifying Reply Suggestions Using a Matching-Conditional Variational Autoencoder.
Graph Convolution for Multimodal Information Extraction from Visually Rich Documents.
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring.
Practical Semantic Parsing for Spoken Language Understanding.
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding.
Enabling Real-time Neural IME with Incremental Vocabulary Selection.
