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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.
New publication in Machine Translation Journal
Automatic Translation Memory Cleaning
Matteo Negri, Duygu Ataman, Masoud Jalili Sabet, Marco Turchi, Marcello Federico
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
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
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
Paper published in Computer Speech & Language Journal
DNN adaptation by automatic quality estimation of ASR hypotheses
Daniele Falavigna, Marco Matassoni, Shahab Jalalvand, Matteo Negri, Marco Turchi
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
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
Presentation at Translating Europe Forum 2016
"Context-adaptive Machine Translation system"
Marcello Federico
Paper accepted in LRE Journal
Creating a Ground Truth Multilingual Dataset of News and Talk-Show Transcriptions through Crowdsourcing
Rachele Sprugnoli, Giovanni Moretti, Luisa Bentivogli, Diego Giuliani
Paper accepted at FETLT 2016 - Future and Emerging Trends in Language Technologies, Machine Learning and Big Data
Title: Bootstrapping Technique + Embeddings = Emotional Corpus Annotated Automatically
Authors: Lea Canales, Carlo Strapparava, Ester Boldrini and Patricio Martinez-Barco
Four papers accepted at CLiC-it 2016
"LICO: A Lexicon of Italian Connectives", "Comparing State-of-the-art Dependency Parsers on the Italian Stanford Dependency Treebank", "Semantic Interpretation of Events in Live Soccer Commentaries", and "Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding"
Paper accepted at CLiC-it 2016
Online Automatic Post-Editing across Domains
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, Marco Turchi
Paper accepted at AMTA 2016 Worshop on Semitic Machine Translation (SeMaT)
An Arabic-Hebrew parallel corpus of TED talks
Mauro Cettolo
Presentation at AMTA 2016 Commercial Users Track
Machine Translation Adaptation from Translation Memories in ModernMT
Marcello Federico
Paper accepted at AMTA 2016
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario
Rajen Chatterjee, Mihael Arcan, Matteo Negri and Marco Turchi
Long paper accepted at IEEE International Conference on Data Science and Advanced Analytics
Title: Exploiting a Bootstrapping Approach for Annotating Emotions in Texts Automatically
Authors: Lea Canales, Carlo Strapparava, Ester Boldrini and Patricio Martinez-Barco
Short paper accepted at EMNLP 2016
Title: Learning to Identify Metaphors from a Corpus of Proverbs
Authors: Gözde Özbal, Carlo Strapparava, Serra Sinem Tekiroglu and Daniele Pighin
