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CLiC-it 2015

The second edition of the Italian Computational Linguistics Conference

Language English

Deep Learning with Neon Framework by Nervana Systems

The talk will cover some introduction about Neon, how to setup the framework, and how to use it for NLP tasks.

Language English

TAL e Beni Culturali

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

Language Undefined

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.

Language English

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

Language English

Automatic detection of event factuality in Italian

Presentation of internship work on event factuality detection in Italian news

Language English

Speech Production in Automatic Speech Recognition Systems

This presentation will focus on ASR combininig acoustic data with information about the vocal tract movements during speech production

Language English

Seminar on the use of Kaldi

Recent results achieved on the TED talk transcription task with Kaldi

Language English

MT Marathon 2014

The Machine Translation Marathon 2014 is a week long event which will include MT lectures and labs, talks about open source tools for MT, and open source MT hacking projects.

Language English

A Computational System for Poetry Style Analysis and an Expressive Poetry Reader

We present a system that computes an extended number of linguistic parameters to evaluate a poem, a set or collection of poems and compares the results.

Language English

Enriching the Neural Network Language Model with Linguistic Information for Improving the ASR output

In this work, we introduce two solutions for two major issues: 1) How to, effectively, use the Neural Network Language Model (NNLM) in ASR decoder; 2) How to improve the NNLM performance using linguistic information. For the former, we propose rescoring the theories in the stack of A* search, instead of rescoring the final N-best lists; and for the latter we propose a new deep structure for representing the linguistic information.

Language English

Advances in Word Reordering Modeling for Phrase-Based Statistical Machine Translation

We discuss the word reordering issue in phrase-based SMT and present some approaches to enhance the standard word reordering constraints

Language English

Bridging NLP and semantic web to enhance user interactions with the web of data

We address the development of methods for a flexible mapping between natural language expressions, and concepts and relations in structured knowledge bases

Language English

Learning Corpus Patterns Using Finite State Automata

We argue that natural language has computationally discoverable regular properties characterizing a certain type of phrases

Language English

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