Search Results for author: Inigo Jauregi Unanue

Found 16 papers, 5 papers with code

Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation

no code implementations WMT (EMNLP) 2020 Inigo Jauregi Unanue, Massimo Piccardi

This paper describes the machine translation systems proposed by the University of Technology Sydney Natural Language Processing (UTS_NLP) team for the WMT20 English-Basque biomedical translation tasks.

Machine Translation NMT +1

SumTra: A Differentiable Pipeline for Few-Shot Cross-Lingual Summarization

no code implementations20 Mar 2024 Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi

In the present day, the predominant approach to this task is to take a performing, pretrained multilingual language model (LM) and fine-tune it for XLS on the language pairs of interest.

Language Modelling Translation

A Generative Adversarial Attack for Multilingual Text Classifiers

no code implementations16 Jan 2024 Tom Roth, Inigo Jauregi Unanue, Alsharif Abuadbba, Massimo Piccardi

Current adversarial attack algorithms, where an adversary changes a text to fool a victim model, have been repeatedly shown to be effective against text classifiers.

Adversarial Attack

T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification

1 code implementation8 Jun 2023 Inigo Jauregi Unanue, Gholamreza Haffari, Massimo Piccardi

Cross-lingual text classification leverages text classifiers trained in a high-resource language to perform text classification in other languages with no or minimal fine-tuning (zero/few-shots cross-lingual transfer).

Cross-Lingual Transfer Language Modelling +3

A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization

1 code implementation ACL 2022 Jacob Parnell, Inigo Jauregi Unanue, Massimo Piccardi

Multi-document summarization (MDS) has made significant progress in recent years, in part facilitated by the availability of new, dedicated datasets and capacious language models.

Computational Efficiency Document Summarization +2

Learning Neural Textual Representations for Citation Recommendation

no code implementations8 Jul 2020 Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi

With the rapid growth of the scientific literature, manually selecting appropriate citations for a paper is becoming increasingly challenging and time-consuming.

Citation Recommendation Sentence

Regressing Word and Sentence Embeddings for Regularization of Neural Machine Translation

no code implementations30 Sep 2019 Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi

This is a serious issue for low-resource language pairs and many specialized translation domains that are inherently limited in the amount of available supervised data.

Clustering Machine Translation +4

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition

1 code implementation29 Jun 2017 Inigo Jauregi Unanue, Ehsan Zare Borzeshi, Massimo Piccardi

Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary.

BIG-bench Machine Learning Clinical Concept Extraction +5

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