Search Results for author: Toni Badia

Found 13 papers, 1 papers with code

Quantitative Analysis of Post-Editing Effort Indicators for NMT

no code implementations EAMT 2020 Sergi Alvarez, Antoni Oliver, Toni Badia

The recent improvements in machine translation (MT) have boosted the use of post-editing (PE) in the translation industry.

Machine Translation Translation

PosEdiOn: Post-Editing Assessment in PythOn

no code implementations EAMT 2020 Antoni Oliver, Sergi Alvarez, Toni Badia

There is currently an extended use of post-editing of machine translation (PEMT) in the translation industry.

Machine Translation Translation

Evaluating morphological typology in zero-shot cross-lingual transfer

no code implementations ACL 2021 Antonio Mart{\'\i}nez-Garc{\'\i}a, Toni Badia, Jeremy Barnes

Furthermore, POS tagging is more sensitive to morphological typology than sentiment analysis and, on this task, models perform much better on fusional languages than on the other typologies.

Language Modelling Part-Of-Speech Tagging +3

Cross-lingual Emotion Intensity Prediction

2 code implementations COLING (PEOPLES) 2020 Irean Navas Alejo, Toni Badia, Jeremy Barnes

Consequently, we explore cross-lingual transfer approaches for fine-grained emotion detection in Spanish and Catalan tweets.

Cross-Lingual Transfer Emotion Classification +2

Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis

no code implementations ACL 2019 Lingxian Bao, Patrik Lambert, Toni Badia

Abstract Attention based deep learning systems have been demonstrated to be the state of the art approach for aspect-level sentiment analysis, however, end-to-end deep neural networks lack flexibility as one can not easily adjust the network to fix an obvious problem, especially when more training data is not available: e. g. when it always predicts \textit{positive} when seeing the word \textit{disappointed}.

Aspect-Based Sentiment Analysis

On the Effect of Word Order on Cross-lingual Sentiment Analysis

no code implementations13 Jun 2019 Àlex R. Atrio, Toni Badia, Jeremy Barnes

Current state-of-the-art models for sentiment analysis make use of word order either explicitly by pre-training on a language modeling objective or implicitly by using recurrent neural networks (RNNs) or convolutional networks (CNNs).

Cross-Lingual Sentiment Classification General Classification +2

MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification

no code implementations LREC 2018 Jeremy Barnes, Patrik Lambert, Toni Badia

While sentiment analysis has become an established field in the NLP community, research into languages other than English has been hindered by the lack of resources.

General Classification Sentiment Analysis

The NewSoMe Corpus: A Unifying Opinion Annotation Framework across Genres and in Multiple Languages

no code implementations LREC 2014 Roser Saur{\'\i}, Judith Domingo, Toni Badia

We present the NewSoMe (News and Social Media) Corpus, a set of subcorpora with annotations on opinion expressions across genres (news reports, blogs, product reviews and tweets) and covering multiple languages (English, Spanish, Catalan and Portuguese).

Information Retrieval Opinion Mining

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