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
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!
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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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.
Continue reading “Fwd: H2020-funded Post-doc in Neural Machine Translation, Tartu, Estonia”
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.
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Continue reading “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”
Continue reading “北京大学计算机科学技术研究所万小军博士及腾讯AI Lab高级研究员李菁应邀来校开展学术讲座”
1st Call for Workshop Proposals: Machine Translation Summit 2019
Machine Translation Summit workshops are intended to provide the
opportunity for MT-related communities of interest to spend time
together advancing the state of thinking or the state of practice in
their area of endeavour. We are particularly interested in submissions
related to commercialisation of MT and/or its use by translators.
However, any themes connected to MT research, development, deployment,
use, and evaluation are welcome. Topics for past workshops have included
post-editing, translation of patents, monolingual aspects of MT,
collaborative translation, lexical resources, and MT research and the
translation industry, to mention just a few.
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