The Annual Conference of the North American Chapter of the Association for Computational Linguistics 2019旨在聚集对自然语言处理技术及其在新问题领域应用的设计和研究感兴趣的研究人员。基于这一目标,NAACL-HLT 2019邀请提交关于计算语言学各方面创造性、实质性和未发表研究的长论文和短论文。官网链接:https://naacl2019.org/

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主题: Methods for Optimizing and Evaluating Neural Language Generation

会议简介: 本次研讨会的目的是讨论语言生成的新方法,它解决了现有语言生成技术(如BLAND、重复语言)中的一些反复出现的问题,以及新的技术来可靠地评估和解释模型输出。

主讲嘉宾: Graham Neubig,卡内基梅隆大学语言技术研究所的助理教授。他的工作重点是自然语言处理,特别是在许多不同语言中工作的多语言模型,以及允许人类用自己的语言与计算机通信的自然语言接口。这项工作的大部分依赖于机器学习从数据中创建这些系统,而且他还积极开发在自然语言数据上进行机器学习的方法和算法。他定期在自然语言处理、机器学习和演讲领域的顶级刊物上发表文章,他的作品偶尔也会获得诸如EMNLP、EACL和WNMT的最佳论文等奖项。他还积极开发开源软件,是DyNet神经网络工具包的主要开发人员。个人主页:http://www.phontron.com/

He He,帕洛阿尔托亚马逊网络服务公司的高级应用科学家。从2019年秋季开始,她将以助理教授的身份加入纽约大学。她在马里兰大学帕克学院获得博士学位,之后在斯坦福大学获得博士后学位。她对机器学习和自然语言处理有广泛的兴趣。她的研究重点是构建智能代理,在不断变化的环境中处理语言并与人交互,最近的研究重点是可控文本生成和对话系统。个人主页:https://hhexiy.github.io/。等

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Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging. A lot of focus on well resourced languages such as English, Japanese, German, French, Russian, Mandarin Chinese etc. Over 97% of the world's 7000 languages, including African languages, are low resourced for NLP i.e. they have little or no data, tools, and techniques for NLP research. For instance, only 5 out of 2965, 0.19% authors of full text papers in the ACL Anthology extracted from the 5 major conferences in 2018 ACL, NAACL, EMNLP, COLING and CoNLL, are affiliated to African institutions. In this work, we discuss our effort toward building a standard machine translation benchmark dataset for Igbo, one of the 3 major Nigerian languages. Igbo is spoken by more than 50 million people globally with over 50% of the speakers are in southeastern Nigeria. Igbo is low resourced although there have been some efforts toward developing IgboNLP such as part of speech tagging and diacritic restoration

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