Search Results for author: Aless Moschitti

Found 54 papers, 1 papers with code

Supervised Clustering of Questions into Intents for Dialog System Applications

no code implementations EMNLP 2018 Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Aless Moschitti, ro

Modern automated dialog systems require complex dialog managers able to deal with user intent triggered by high-level semantic questions.

Chatbot Clustering +4

Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models

no code implementations COLING 2018 Lingzhen Chen, Aless Moschitti, ro

In this paper, we propose to use a sequence to sequence model for Named Entity Recognition (NER) and we explore the effectiveness of such model in a progressive NER setting {--} a Transfer Learning (TL) setting.

Feature Engineering named-entity-recognition +3

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

Collaborative Partitioning for Coreference Resolution

no code implementations CONLL 2017 Olga Uryupina, Aless Moschitti, ro

This paper presents a collaborative partitioning algorithm{---}a novel ensemble-based approach to coreference resolution.


A Practical Perspective on Latent Structured Prediction for Coreference Resolution

no code implementations EACL 2017 Iryna Haponchyk, Aless Moschitti, ro

Latent structured prediction theory proposes powerful methods such as Latent Structural SVM (LSSVM), which can potentially be very appealing for coreference resolution (CR).

coreference-resolution feature selection +2

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

SenTube: A Corpus for Sentiment Analysis on YouTube Social Media

no code implementations LREC 2014 Olga Uryupina, Barbara Plank, Aliaksei Severyn, Agata Rotondi, Aless Moschitti, ro

In this paper we present SenTube -- a dataset of user-generated comments on YouTube videos annotated for information content and sentiment polarity.

Document Classification Informativeness +3

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