naacl 2018 论文列表
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 3 (Industry Papers).
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Document-based Recommender System for Job Postings using Dense Representations.
Personalized neural language models for real-world query auto completion.
Demand-Weighted Completeness Prediction for a Knowledge Base.
Prediction for the Newsroom: Which Articles Will Get the Most Comments?
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems.
The Alexa Meaning Representation Language.
A Novel Approach to Part Name Discovery in Noisy Text.
Multi-lingual neural title generation for e-Commerce browse pages.
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding.
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents.
Selecting Machine-Translated Data for Quick Bootstrapping of a Natural Language Understanding System.
Benchmarks and models for entity-oriented polarity detection.
From dictations to clinical reports using machine translation.
Pieces of Eight: 8-bit Neural Machine Translation.
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment.
Can Neural Machine Translation be Improved with User Feedback?
Construction of the Literature Graph in Semantic Scholar.
SystemT: Declarative Text Understanding for Enterprise.
Using Aspect Extraction Approaches to Generate Review Summaries and User Profiles.
Atypical Inputs in Educational Applications.
Quality Estimation for Automatically Generated Titles of eCommerce Browse Pages.
Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning.
Data Collection for Dialogue System: A Startup Perspective.
What we need to learn if we want to do and not just talk.
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding.
Neural Network based Extreme Classification and Similarity Models for Product Matching.
Scalable Wide and Deep Learning for Computer Assisted Coding.
