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Presentation at Facebook's Faculty Summit

Marcello Federico attended the Facebook Faculty Summit that was held in London on 22 Sept 2015.  About 100 people were invited to the meeting,  including FB people from USA and Europe and externals from Europe. The meeting was organised in four separate tracks: machine learning, security, programming languages, and systems. The purpose of the meeting was to update participants about FB's research agenda and activities and to foster collaborations with the invited researchers.  MF gave a short presentation about the ideas developed in MateCat and the MMT project. 

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Best Student Paper Award at INTERSPEECH 2015

I'm glad to announce that Nick Ruiz was awarded the Best Student Paper Award at the INTERSPEECH Conference in Dresden (Germany) for the joint FBK-Microsoft research paper:

"Adapting Machine Translation Models toward Misrecognized Speech with Text-to-Speech Pronunciation Rules and Acoustic Confusability"

by Nicholas Ruiz, Qin Gao, William Lewis, Marcello Federico.

INTERSPEECH is among the world largest conferences on Speech and Language Technology (746 papers presented this year).

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Photo with Summer Internship Students

Thanks to Ondrej for sending us this nice picture, taken on 27 August 2015!

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HLT-NLP participation at the Google NLP PhD Summit 2015

Student Ngoc Phuoc An Vo has been selected for the Google NLP PhD Summit 2015, which will be held at Google Zurich on 23 - 26 Setember 2015.

Two Long papers accepted at IJCAI 2015

- Slogans are not forever: Adapting Linguistic Expressions to the News
- Looking at Mondrian's Victory Boogie-Woogie: What do I feel?

CloudASR: A Web Platform for Automatic Speech Recognition

In this talk I will present a cloud platform for automatic speech recognition, CloudASR, built on top of Kaldi speech recognition toolkit. The platform supports both batch and online speech recognition mode and it has an annotation interface for transcription of the submitted recordings. The key features of the platform are scalability, customizability and easy deployment. Benchmarks of the platform show that the platform achieves comparable performance with Google Speech API in terms of latency and it can achieve better accuracy on limited domains.

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TAL e Beni Culturali

The "TAL e Beni Culturali" workshop promotes synergies between humanities and technologies in Natural Language Processing

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eBay sponsorship

We are glad to acknowledge a financial gift from eBay Inc. to Marcello Federico in order to support research activities by the PhD students working in the HLT-MT research unit. 

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Short papers accepted at ACL 2015

List of the short papers accepted at ACL 2015

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HLT-NLP participation at SemEval 2015

Four oral presentations (three task organization and one system description) three system description posters by HLT-NLP researchers

Long paper accepted at Metaphor in NLP 2015

Serra Sinem Tekiroğlu, Gözde Özbal and Carlo Strapparava. Exploring Sensorial Features for Metaphor Identification

Long paper accepted at NAACL 2015

Marco Guerini, Gözde Özbal and Carlo Strapparava. Echoes of Persuasion: The Effect of Euphony in Persuasive Communication

Computing News Storylines 2015 (NewsStory 2015)

The First Worskop on Computing News Storylines (CNewS 2015) aims at bringing together researchers and scientists working on narrative extraction and representation from news within Computational Linguistics and Artificial Intelligence.

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Paper accepted at NAACL 2015

Title: Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances

Authors: José G. C. de Souza, Hamed Zamani, Matteo Negri, Marco Turchi, Falavigna Daniele

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Papers accepted at ACL 2015

List of the papers accepted at ACL 2015

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Deep and Large-Scale Semantic Processing: The Way Ahead

The workshop on “Deep and Large-Scale Semantic Processing: The Way Ahead” is an opportunity to discuss some of the major trends in Semantic Processing of Natural Language, with a specific focus on balancing the need of a deep analysis with the need to process big-data

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Book Chapter

Carlo Strapparava and Rada Mihalcea. Affect detection in texts. In R. Calvo et al. editors, Oxford Handbook of Affective Computing. Oxford University Press, December 2014.