Search Results for author: Adrià De Gispert

Found 7 papers, 0 papers with code

Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey

no code implementations5 Aug 2022 Xiaoyu Shen, Svitlana Vakulenko, Marco del Tredici, Gianni Barlacchi, Bill Byrne, Adrià De Gispert

Dense retrieval (DR) approaches based on powerful pre-trained language models (PLMs) achieved significant advances and have become a key component for modern open-domain question-answering systems.

Open-Domain Question Answering Retrieval

Neural Machine Translation Decoding with Terminology Constraints

no code implementations NAACL 2018 Eva Hasler, Adrià De Gispert, Gonzalo Iglesias, Bill Byrne

Despite the impressive quality improvements yielded by neural machine translation (NMT) systems, controlling their translation output to adhere to user-provided terminology constraints remains an open problem.

Machine Translation NMT +1

Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment

no code implementations NAACL 2018 Gonzalo Iglesias, William Tambellini, Adrià De Gispert, Eva Hasler, Bill Byrne

We describe a batched beam decoding algorithm for NMT with LMBR n-gram posteriors, showing that LMBR techniques still yield gains on top of the best recently reported results with Transformers.

NMT

Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices

no code implementations EACL 2017 Felix Stahlberg, Adrià De Gispert, Eva Hasler, Bill Byrne

This makes our approach much more flexible than $n$-best list or lattice rescoring as the neural decoder is not restricted to the SMT search space.

Machine Translation NMT +1

Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization

no code implementations NAACL 2016 Daniel Beck, Adrià De Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne

We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a minimum value.

Machine Translation Translation

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