原国家网信办移动网络管理局局长方楠应邀来校开展讲座

应史晓东教授邀请,原国家网信办舆情与应急管理局、移动网络管理局局长方楠2019年4月1日上午9:30-11:30在厦门大学信息学院作了题为《智能时代下的网络舆情探讨》海韵讲座,主题为探讨如何通过智能+舆情这一手段的创新,有效感知和解决网络信息安全问题,为信息服务的健康发展提出了许多新思路。
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Call for Papers: the First International Workshop on Designing Meaning Representations (DMR 2019)

While deep learning methods have led to many breakthroughs in practical natural language applications, most notably in Machine Translation, Machine Reading/Question Answering, etc., there is still a sense among many NLP researchers that we have a long way to go before we can develop systems that can actually “understand” human language. “Understanding” natural language entails many different human-like capabilities, and they include but are not limited to the ability to track entities in a text, understand the relations between these entities, track events and their participants described in a text, understand how events unfold over time, and distinguish events that have actually happened from events that are planned or intended, are uncertain, or did not happen at all. We believe a critical step in achieving natural language understanding is to design meaning representations for text that have the necessary meaning “ingredients” that help us achieve these capabilities. Such meaning representations also need to be easy to produce in order to generate sufficient amounts of data to allow the training of accurate meaning representation parsers.
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First Call for Participation: WMT19 Machine Translation related Shared Tasks

ACL 2019 FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT19)
Shared Tasks on translation, MT evaluation, and automated post-editing.

August 1-2, 2019, in conjunction with ACL 2019 in Florence, Italy

As part of WMT, as in previous years, we will be organising a collection of shared tasks related to machine translation. We hope that both beginners and established research groups will participate. This year we have so far confirmed the following tasks

– Translation tasks
– News
– Biomedical
– Closely related languages
– Evaluation tasks
– Metrics
– Quality estimation
– Other tasks
– Automatic post-editing
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First International Workshop on e-Commerce and NLP (ECNLP’2019)

First International Workshop on e-Commerce and NLP (ECNLP’2019)
Co-located with WWW 2019 in San Francisco, California, USA, May 13-14, 2019

https://sites.google.com/view/ecnlp

NLP and IR have been powering e-Commerce applications since the early days of the fields. Today, NLP and IR already play a significant role in e-commerce tasks, including product search, recommender systems, product question answering, machine translation (MT), sentiment analysis, product description and review summarization, and customer review processing, amongst many other tasks. With the exploding popularity of chatbots and shopping assistants – both text- and voice-based – NLP, IR, question answering, and dialogue systems research is poised to transform e-commerce once again, but requires a forum where new and unfinished ideas could be discussed. The ECNLP workshop aims to provide a venue for the dissemination of late-breaking research results and ideas related to e-commerce and online shopping, bringing together researchers from both academia and industry.
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Second Call for Participation: SemEval 2019 Task 6 – OffensEval: Identifying and Categorizing Offensive Language in Social Media

Second Call for Participation

SemEval 2019 Task 6 – OffensEval: Identifying and Categorizing Offensive Language in Social Media
Shared Task Website: https://competitions.codalab.org/competitions/20011

Offensive language is pervasive in social media. Online communities, social media platforms, and technology companies have been investing heavily in ways to cope with offensive language to prevent abusive behavior in social media. One of the most effective strategies to tackle this problem is to use computational methods to identify offense, aggression, and hate speech in user-generated content (e.g. posts, comments, microblogs, etc.).
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CALL FOR PAPER OFFERINGS for LREC Shared Task on Reproducibility

CALL FOR PAPER OFFERINGS for LREC Shared Task on Reproducibility

Did you author a recent paper in the area of Natural Language
Processing and Computational Linguistics, and are you interested in
further visibility of your paper, and wondering how well other
researchers are able to reproduce your results?

Please consider offering your paper for the upcoming
Shared Task on Reproducibility!

BACKGROUND

Scientific knowledge is grounded on falsifiable predictions and thus
its credibility and raison d’être relies on the possibility of
repeating experiments and getting similar results as originally
obtained and reported. In many young scientific areas, including
ours, acknowledgment and promotion of reproduction of
results need very much to be increased.
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Fwd: H2020-funded Post-doc in Neural Machine Translation, Tartu, Estonia

Hi all,

We are looking for a post-doc in neural machine translation as part of the Horizon2020 ICT RIA project “Bergamot: Browser-based Multilingual Translation“. If you have recently defended a PhD thesis (or are close to defending) and have experience with deep learning methods in machine translation and other sequence-to-sequence NLP, then this is your chance to work in close collaboration with several internationally renowned research groups and grow as an independent researcher.

The aim of the Bergamot project is to allow NMT engines to run offline in a web browser, while dynamically adapting to the user’s requirements, content and the surrounding context, as well as yielding controllable output quality. As part of the position you will work on faster and lighter multi-domain and multilingual NMT approaches that can adapt to various kinds of context info.
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ParaCrawl corpus release v3.0

The third version of the ParaCrawl corpus has been released! Parallel corpus is now available in all 24 of the official EU languages. 6 new languages are added to the v3 release namely Bulgarian, Danish, Greek, Slovak, Slovenian and Swedish. For the previously released languages, more data is added to the corpus.
For each language, two different versions of the corpus are released based on two cleaning tools, i.e. BiCleaner and Zipporah. ParaCrawl corpus is crawled from a large number of websites. The selection of websites is based on CommonCrawl, but ParaCrawl is extracted from a brand new crawl which has much higher coverage of these selected websites than CommonCrawl.
https://paracrawl.eu/releases.html
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实验室史晓东教授和两名博士生赴安阳参加第一届甲骨文信息处理国际学术研讨会

2018年11月24日至25日,第一届甲骨文信息处理国际学术研讨会在安阳师范学院甲骨文信息处理河南省重点实验室顺利举行。
参加研讨会的有来自中国社会科学院学部委员,安阳师范学院「殷都学者」宋镇豪,美国洛杉矶加州大学教授周鸿翔,「汉字与词源」网站创办者,「汉字叔叔」理查德·西尔斯,日本立命馆大学副教授孟林等二十余位来自国内外的知名专家学者,甲骨文信息处理河南省重点实验室全体成员,安阳师范学院历史与文博学院,计算机与信息工程学院部分教师,以及厦门大学信息科学与技术学院的史晓东教授,此外厦门大学自然语言处理实验室的两名博士研究生也列席了本次研讨会。
安阳师范学院副院长孙金伟出席研讨会开幕式并致辞。他简要介绍了安阳师范学院立足安阳甲骨文故乡的地理优势,落实习近平总书记关于加强「绝学」冷门学科研究的讲话精神,致力甲骨学研究30余载取得的成绩,并希望与会专家学者能够继续关注,支持安阳师范学院甲骨文研究工作。

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