Bruno Martins


2020

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Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
André Martins | Helena Moniz | Sara Fumega | Bruno Martins | Fernando Batista | Luisa Coheur | Carla Parra | Isabel Trancoso | Marco Turchi | Arianna Bisazza | Joss Moorkens | Ana Guerberof | Mary Nurminen | Lena Marg | Mikel L. Forcada
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation

2015

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Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics
David S. Batista | Bruno Martins | Mário J. Silva
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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ULisboa: Recognition and Normalization of Medical Concepts
André Leal | Bruno Martins | Francisco Couto
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
Silvio Amir | Ramon F. Astudillo | Wang Ling | Bruno Martins | Mario J. Silva | Isabel Trancoso
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon F. Astudillo | Silvio Amir | Wang Ling | Bruno Martins | Mario J. Silva | Isabel Trancoso
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)

2014

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TUGAS: Exploiting unlabelled data for Twitter sentiment analysis
Silvio Amir | Miguel B. Almeida | Bruno Martins | João Filgueiras | Mário J. Silva
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

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ULisboa: Identification and Classification of Medical Concepts
André Leal | Diogo Gonçalves | Bruno Martins | Francisco M. Couto
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

2013

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REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira | João Filgueiras | Bruno Martins | Francisco Couto | Mário J. Silva
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)

2011

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Named entity translation using anchor texts
Wang Ling | Pável Calado | Bruno Martins | Isabel Trancoso | Alan Black | Luísa Coheur
Proceedings of the 8th International Workshop on Spoken Language Translation: Papers

This work describes a process to extract Named Entity (NE) translations from the text available in web links (anchor texts). It translates a NE by retrieving a list of web documents in the target language, extracting the anchor texts from the links to those documents and finding the best translation from the anchor texts, using a combination of features, some of which, are specific to anchor texts. Experiments performed on a manually built corpora, suggest that over 70% of the NEs, ranging from unpopular to popular entities, can be translated correctly using sorely anchor texts. Tests on a Machine Translation task indicate that the system can be used to improve the quality of the translations of state-of-the-art statistical machine translation systems.