Month: April 2017

Toxic words and political discourse

Leximania.gr

By Graham J Noble | Mar 7, 2017 Anyone who spends time on social media platforms or in the comments sections of any media website has learned that if one expects a civil discussion – better stick to sports. The level of animosity between online political foes has reached almost fever-pitch. Even news stories not directly related to political issues have become fertile ground for bashing President Trump or clobbering Democrats, depending on your point of view. This verbal punching has gradually become more and more toxic. It’s no longer…

[JOB] Research Engineer in Natural Language Processing, Manchester, UK

Leximania.gr

Department – Computer Science Salary – Salary of up to £27,629 Location – Manchester, UK Vacancy Overview – Fixed term contract for 2 years, with the potential for permanent employment. Based in Manchester, UK. Opportunity: Data science company Metafused, in partnership with the University of Warwick, have a unique opportunity for an enthusiastic and skilled computer scientist to play a critical role in the development of industry standard target dependent sentiment and intent analysis by sharing knowledge with experts in the field. • Develop state of the art methodology for determining specific sentiment…

Sarcasm SIGN: Sarcasm interpretation corpus

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We are happy to announce the release of the Sarcasm SIGN corpus: a parallel corpus of sarcastic tweets and their non-sarcastic interpretations, as created by human experts (3000 tweets annotated by their authors with the hashtag #sarcasm, 5 human translations per tweet). The corpus was created as part of the paper: Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation, Lotem Peled and Roi Reichart, ACL 2017 (https://arxiv.org/pdf/1704.06836.pdf) The corpus and the project details can be found at: https://github.com/lotemp/SarcasmSIGN Sarcasm SIGN dataset, a parallel corpus of sarcastic tweets and their non-sarcastic…

MOOC Introduction to a Web of Linked Data

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The MOOC “Introduction to a Web of Linked Data” comes back on May 9, 2017 for a new session on the FUN platform. It is taught by Fabien GANDON , Catherine FARON-ZUCKER and Olivier CORBY (Wimmics team, Inria, I3S, CNRS, UNS). This MOOC introduces the Linked Data standards and principles that provide the foundation of the Semantic Web. It is divided in 4 parts/weeks: • the fundamental principles of Linked Data on the Web • the RDF recommendation that provides a standard data model and syntaxes to publish and link data on…

Fifth Grammatical Framework Summer School 2017

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Riga, Latvia, 14-25 August 2017 http://school.grammaticalframework.org/2017/ Grammatical Framework (GF) is a grammar formalism and a programming language for the development of multilingual computational grammars. It is based on the idea of a shared abstract syntax and mappings between the abstract syntax and concrete languages. GF grammars are bi-directional; however, they are particularly well suited for language generation. What makes the development of GF application grammars rapid and flexible is the general-purpose GF resource grammar library which currently covers more than 30 languages implementing the same abstract syntax, a shared syntactic…