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Paper to be presented at the SemBEaR EACL2017 Workshop

Begoña Altuna, Anne-Lyse Minard and Manuela Speranza. The Scope and Focus of Negation: A Complete Annotation Framework for Italian

L'italiano al plurale: istruzioni per l'uso

Il 7 aprile a Bologna si terrà l'evento "L'italiano al plurale: istruzioni per l'uso" organizzato da AITI (Associazione Italiana Traduttori e Interpreti).

Luisa Bentivogli sarà presente al Tech Corner dell'evento per presentare le tecnologie al servizio dei traduttori sviluppate dall'unità di ricerca HLT-MT.

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Techniques for text classification in biomedical domain

Supervision of the manual annotation of radiology reports done by two radiologists and implementation of a text classification system based on Machine Learning techniques.

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Festival delle Lingue

Dal 9 all'11 marzo 2017 si svolgerà la seconda edizione del Festival delle Lingue, occasione d'incontro e scambio tra docenti, studenti, famiglie, esperti e formatori.

Marcello FedericoLuisa Bentivogli presenteranno "La traduzione automatica e il futuro della professione del traduttore" (Workshop 32).

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Our team won the SemEval 2017 task on predicting sentiment from news headlines

Tthe HLT-NLP/Fortia team won the SemEval 2017 Task 5 challenge on predicting fine-grained sentiment from financial news headlines (1st out of 45 runs).

HLT-NLP Members: Lorenzo Gatti, Marco Guerini

Fortia Members: Youness Mansar, Sira Ferradans, Jacopo Staiano

Our team won the SemEval 2017 task on predicting sentiment from news headlines

Tthe HLT-NLP/Fortia team won the SemEval 2017 Task 5 challenge on predicting fine-grained sentiment from financial news headlines (1st out of 45 runs).

HLT-NLP Members: Lorenzo Gatti, Marco Guerini

Fortia Members: Youness Mansar, Sira Ferradans, Jacopo Staiano

Call for Papers for "NLP meets Journalism" (Workshop at EMNLP 2017)

The call for papers for the "NLP meets Journalism" Workshop at EMNLP 2017 is now open.

Short Paper accepted at EACL 2017

Neural vs. Phrase-Based Machine Translation in Multi-Domain Scenario
M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi and Marcello Federico

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Paper published in Machine Translation Journal

The first Automatic Translation Memory Cleaning Shared Task
Eduard Barbu, Carla Parra Escartín, Luisa Bentivogli, Matteo Negri, Marco Turchi, Constantin Orasan, Marcello Federico

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Long Paper accepted at EACL 2017

Online Automatic Post-editing for MT in a Multi-Domain Translation Environment
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri and Marco Turchi

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Two papers accepted at EACL 2017

The following short papers have been accepted at EACL2017:

Title: A Computational Analysis of the Language of Drug
Authors: Carlo Strapparava and Rada Mihalcea

Title: To Sing like a Mockingbird
Authors: Lorenzo Gatti, Gözde Özbal, Oliviero Stock and Carlo Strapparava

IWSLT 2016

Paper presentation:

"The IWSLT 2016 Evaluation Campaign"
Mauro Cettolo, Jan Niehues, Sebastian Stuker, Luisa Bentivogli, Roldano Cattoni, Marcello Federico

Poster presentation:

"FBK’s Neural Machine Translation Systems for IWSLT 2016"
M. Amin Farajian, Rajen Chatterjee, Costanza Conforti, Shahab Jalalvand, Vevake Balaraman, Mattia A. Di Gangi, Duygu Ataman, Marco Turchi, Matteo Negri, Marcello Federico

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Paper to be presented at AI*IA

Simone Magnolini, Ngoc Phuoc An Vo and Octavian Popescu. Analysis of the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity

Speech technology @ Trento: a retrospective view

Symposium in memory of Gianni Lazzari

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Seminar "From Academia to Industry: Smoother Transition" by Yashar Mehdad

Being in graduate school, it seems likely that the most appealing option is to remain in the academic tower. It’s reasonable to see why — the environment you are surrounded with encourages you to follow this career path. However, taking a glance at the Ph.D. labor market proves that the number of PhD graduates annually highly exceeds the number of positions available. In this interactive talk, I first convince you that academia is not the only choice to pursue your career path and brief you on some very interesting research projects in the high-tech industry. Language English

HLT-MT Seminar

Ontology Learning in the Deep

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