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【1】 On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
标题:论语言特征与统计和神经机器翻译的整合
作者:Eva Vanmassenhove
链接:https://arxiv.org/abs/2003.14324
【2】 Graph Enhanced Representation Learning for News Recommendation
标题:用于新闻推荐的图形增强表征学习
作者:Suyu Ge, Yongfeng Huang
链接:https://arxiv.org/abs/2003.14292
【3】 TextCaps: a Dataset for Image Captioning with Reading Comprehension
标题:TextCaps:一个带阅读理解的图像字幕数据集
作者:Oleksii Sidorov, Amanpreet Singh
链接:https://arxiv.org/abs/2003.12462
【4】 End-to-End Entity Classification on Multimodal Knowledge Graphs
标题:基于多模态知识图的端到端实体分类
作者:W.X. Wilcke (1), (2) Geodan Amsterdam The Netherlands)
备注:Submitted to the 17th International Conference on Principles of Knowledge Representation and Reasoning (2020)
链接:https://arxiv.org/abs/2003.12383
【5】 Appraisal Theories for Emotion Classification in Text
标题:文本情感分类的评价理论
作者:Jan Hofmann, Roman Klinger
链接:https://arxiv.org/abs/2003.14155
【6】 Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
标题:理解多语言递归神经网络中的跨语言句法迁移
作者:Prajit Dhar, Arianna Bisazza
链接:https://arxiv.org/abs/2003.14056
【7】Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
标题:使用自我注意U-Net增强来表征语音对抗实例
作者:Chao-Han Huck Yang, Chin-Hui Lee
备注:The first draft was finished in August 2019. Accepted to IEEE ICASSP 2020
链接:https://arxiv.org/abs/2003.13917
【8】 A Hierarchical Transformer for Unsupervised Parsing
标题:一种用于无监督解析的分层转换器
作者:Ashok Thillaisundaram
备注:ICLR 2020: AfricaNLP Workshop
链接:https://arxiv.org/abs/2003.13841
【9】 Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
标题:手语转换器:端到端联合手语识别和翻译
作者:Necati Cihan Camgoz, Richard Bowden
链接:https://arxiv.org/abs/2003.13830
【10】Word2Vec: Optimal Hyper-Parameters and Their Impact on NLP Downstream Tasks
标题:word2vec:最佳超参数及其对NLP下游任务的影响
作者:Tosin P. Adewumi, Marcus Liwicki
链接:https://arxiv.org/abs/2003.11645
【11】 Multi-Label Text Classification using Attention-based Graph Neural Network
标题:基于注意图神经网络的多标签文本分类
作者:Ankit Pal, Malaikannan Sankarasubbu
链接:https://arxiv.org/abs/2003.11644
【12】 Sentiment Analysis in Drug Reviews using Supervised Machine Learning Algorithms
标题:基于有监督机器学习算法的药物评论情感分析
作者:Sairamvinay Vijayaraghavan, Debraj Basu
链接:https://arxiv.org/abs/2003.11643
【13】Utilizing Deep Learning to Identify Drug Use on Twitter Data
标题:利用深度学习识别Twitter数据上的药物使用
作者:Joseph Tassone, Salimur Choudhury
备注:20 pages, 12 figures, 8 tables
链接:https://arxiv.org/abs/2003.11522
【14】 COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis
标题:COVID-19和计算机试听:语音和声音分析在SARS-CoV-2冠状病毒危机中的作用概述
作者:Björn W. Schuller, Xiao Li
链接:https://arxiv.org/abs/2003.1111
【15】Learning Compact Reward for Image Captioning
标题:图像字幕学习紧凑奖励
作者:Nannan Li, Zhenzhong Chen
链接:https://arxiv.org/abs/2003.10925
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