Bilatu
61-tik 41-50 emaitza erakusten
Data Augmentation to Low-Resource Languages Approach: Galician case
(2023-06-30)
In this Final Thesis, two proposals for data augmentation have been made for the
training of two bilingual translation models in Spanish-Galician and English-Galician
from parallel corpora of Portuguese. One of the ...
GLEN: Adiera desanbiguazioa hizkuntza-eredu sortzaileak erabiliz
(2023-06-30)
Azken urteotako ikasketa sakonean oinarritutako sistema sortzaileek ospea lortu dute jendartean gizakien idazkera naturala imitatzeko ahalmenak bultzatuta. Honez gain, hizkuntzaren prozesamenduko hainbat atazetan emaitza ...
Unsupervised information retrieval using large language models
(2023-06-30)
Nowadays, to tackle the open domain Question Answering (QA) problem, a neural architecture with two main components is usually used: the information retriever, whose task is to search for the most relevant documents with ...
Few-shot Learning for Argumentation in the Medical Domain
(2023-06-30)
[EU] Azkenaldian, arlo medikoan arreta handiagoa jarri da Adimen Artifizialarekin lotutako
tekniketan, medikuei galderak errazago eta azkarrago ebazten laguntzeko. Hori bereziki
garrantzitsua da Ebidentzian Oinarritutako ...
Basque and Spanish Multilingual TTS Model for Speech-to-Speech Translation
(2023-06-30)
[EN] Lately, multiple Text-to-Speech models have emerged using Deep Neural networks to
synthesize audio from text. In this work, the state-of-the-art multilingual and
multi-speaker Text-to-Speech model has been trained ...
Entailment for Zero- and Few-Shot Text Classification in Catalan: Monolingual vs. Multilingual Resources and Task Transfer
(2023-06-30)
As the field of NLP continues to evolve and expand in industry, new tasks and languages
emerge for which task-specific data for fine-tuning is often scarce or unavailable. Against
this background, zero- and few-shot ...
Natural Language Inference Models for Few-Shot Text Classification: A Real-World Perspective
(2023-06-30)
[EN] Pivoting tasks as entailment problems have shown to be very effective in different applications like question answering and relation extraction. On the other hand, language models trained for entailment tasks have ...
Does Coreference Resolution Improve Aspect Based Sentiment Analysis?
(2023-06-30)
Aspect-Based Sentiment Analysis (ABSA) has generally focused on extracting explicit opinion targets and classifying them into polarities and categories. Most approaches ignore implicitly expressed opinions, even though ...
Analysis of user post-edited texts and a proposal for assistance through iSTS
(2023-06-30)
In the present investigation, the way lay users employ machine translation (MT) systems has been studied. The benefits of applying these systems for the dissemination have been examined to limit the scope, and the ...
Labour Statistics vs. Static Word Embeddings: a Comparison of Gender Bias
(2023-06-30)
This project explores the relation between labour statistics information and three language models: GloVe, word2vec and fastText, in both English and Spanish. The aim is to see what differs in reality versus word embedding ...