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Updated: 41 min 31 sec ago

ACL 2019 in Florence!

The 57th edition of the Annual Meeting of the Association for Computational Linguistics (ACL 2019) will take place in Florence from July 28th to August 2nd 2019.

Bernardo Magnini will be co-chairing the local organization committee.

FBK system ranks 1st in NLI shared task

CIC-FBK system ranks 1st in Native Language Identification shared task

Paper accepted at ACM Multimedia 2017

Title: Automatic Generation of Lyrics Parodies
Authors: Lorenzo Gatti, Gözde Özbal, Oliviero Stock and Carlo Strapparava

Paper accepted at EMNLP 2017

Title: Word Etymology as Native Language Interference
Authors: Vivi Nastase and Carlo Strapparava

Paper accepted at ACL 2017

Title: Improving Native Language Identification by Using Spelling Errors
Authors: Lingzhen Chen, Carlo Strapparava and Vivi Nastase

Lectures on Computational Linguistics 2017 (LCL 2017)

LCL 2017 is a two-day event featuring both tutorials on topics in Computational Linguistics and student's presentations.  LCL - 2017 is organized by the Doctoral School of Linguistic Sciences of University of Bergamo-Pavia and by Fondazione Bruno Kessler,  with the endorsement of AILC, the Italian Association of Computational Linguistics.

The event will be held at University of Pavia on May, 4-5 2017.

Website:  LCL 2017

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.

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

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.

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

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"

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

Paper accepted in Natural Language Engineering

A transformation-driven approach for recognizing textual entailment

Roberto Zanoli and Silvia Colombo

Paper accepted in the DATABASE journal

A knowledge-poor approach to chemical-disease relation extraction
Firoj Alam, Anna Corazza, Alberto Lavelli, and Roberto Zanoli
Database Vol. 2016, baw071 doi:10.1093/database/baw071

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