Search Results for author: Alberto Barr{\'o}n-Cede{\~n}o

Found 20 papers, 1 papers with code

A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines

no code implementations ACL 2018 Salvatore Romeo, Giovanni Da San Martino, Alberto Barr{\'o}n-Cede{\~n}o, Aless Moschitti, ro

Although deep neural networks have been proving to be excellent tools to deliver state-of-the-art results, when data is scarce and the tackled tasks involve complex semantic inference, deep linguistic processing and traditional structure-based approaches, such as tree kernel methods, are an alternative solution.

Community Question Answering

A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates

1 code implementation RANLP 2017 Pepa Gencheva, Preslav Nakov, Llu{\'\i}s M{\`a}rquez, Alberto Barr{\'o}n-Cede{\~n}o, Ivan Koychev

In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.

Fact Checking

Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking

no code implementations COLING 2016 Alberto Barr{\'o}n-Cede{\~n}o, Giovanni Da San Martino, Salvatore Romeo, Aless Moschitti, ro

Community question answering (cQA) websites are focused on users who query questions onto an online forum, expecting for other users to provide them answers or suggestions.

Community Question Answering Machine Translation

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