本文精选了COLING 2018的部分最佳论文，涵盖情感分析、句子简化、多文档摘要等多个自然语言处理方向。通过对比不同模型如Transformer与RNN在多语言神经机器翻译上的表现，探讨了视觉问答数据集对于双语图像理解的重要性。
http://coling2018.org/coling-2018-best-papers/
机器之心的推送：
https://www.jiqizhixin.com/articles/2018-06-19-11
我感兴趣的论文列表：
A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis
Dynamic Multi-Level, Multi-Task Learning for Sentence Simplification
Abstractive Multi-Document Summarization using Paraphrastic Sentence Fusion
A Comparison of Transformer and Recurrent Neural Networks on Multilingual NMT
Structured Dialogue Policy with Graph Neural Networks
Visual Question Answering Dataset for Bilingual Image Understanding: A study of cross-lingual transfer using attention maps
扫一扫
632
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
