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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