Browsing Máster Universitario en Análisis y Procesamiento del Lenguaje by Title
Now showing items 17-36 of 61
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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 ... -
Data sparsity in highly inflected languages: the case of morphosyntactic tagging in Polish
(2016-11-30)In morphologically complex languages, many high-level tasks in natural language processing rely on accurate morphosyntactic analyses of the input. However, in light of the risk of error propagation in present-day pipeline ... -
Detection of everyday metaphor in Spanish: annotation and evaluation
(2023-06-30)Metaphors are pervasive in our daily utterances, which is why the automatic processing of metaphorical expressions has gained popularity in the field of Natural Language Processing, with a view to achieve a more fluid and ... -
Distributional semantics and machine learning for statistical machine translation
(2016-05-24)[EU]Lan honetan semantika distribuzionalaren eta ikasketa automatikoaren erabilera aztertzen dugu itzulpen automatiko estatistikoa hobetzeko. Bide horretan, erregresio logistikoan oinarritutako ikasketa automatikoko eredu ... -
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 ... -
Ebaluatoia: crowd evaluation of English-Basque machine translation
(2016-04-08)[EU]Lan honetan Ebaluatoia aurkezten da, eskala handiko ingelesa-euskara itzulpen automatikoko ebaluazio kanpaina, komunitate-elkarlanean oinarritua. Bost sistemaren itzulpen kalitatea konparatzea izan da kanpainaren ... -
Elaboration of a RST Chinese Treebank
(2018-03-20)[EN] As a subfield of Artificial Intelligence (AI), Natural Language Processing (NLP) aims to automatically process human languages. Fruitful achievements of variant studies from different research fields for NLP exist. ... -
End to end approach for i2b2 2012 challenge based on Cross-lingual models
(2020-11-26)BACKGROUND - We propose a Cross-lingual approach to i2b2 2012 challenge for Clinical Records focused on the temporal relations in clinical narratives. Corpus of discharge summaries annotated with temporal information was ... -
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 ... -
Error Generation for a Grammar Checker in Basque: Correction and Detection
(2023-06-30)This work presents a method for automatic generation of grammatically incorrect sentences, which can later be used for training Neural Grammar Error Correction and Detection models. The quality of the generated synthetic ... -
Evaluation of STT technologies performance and database design for Spanish dysarthric speech
(2023-06-30)[EN] Automatic Speech Recognition (ASR) systems have become an everyday use tool worldwide. Their use has spread throughout these last years and they have also been implemented in Environmental Control Systems (ECS) or ... -
Exploration of aunnotation strategies for entailment-based Automatic Short Answer Grading
(2023-06-30)[EN] Recent work has shown that Automatic Short Answer Grading can effectively be reformulated as a Textual Entailment problem. In this work we show that this reformulation is also effective in zero-shot and few-shot ... -
Exploring metrics for post-editing effort: and their ability to detect errors in machine translated output
(2019-07-17)As more companies integrate machine translation (MT) systems into their translation workflows, it becomes increasingly relevant to accurately measure post-editing (PE) effort. In this paper we explore how different types ... -
Exploring Semantic Textual Similarity
(2012)[EN]Measuring semantic similarity and relatedness between textual items (words, sentences, paragraphs or even documents) is a very important research area in Natural Language Processing (NLP). In fact, it has many practical ... -
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 ... -
First Steps towards an Argumentative Dialogue System for Oracy Skills Development in Schools
(2023-06-30)[EN] There is academic and institutional interest in implementing dialogic approaches to teaching, as dialogue has been shown to be both a means towards learning and a goal in a global society where oracy skills are crucial. ... -
Gazteak eta euskara sare sozialetan. Zer, nori, nork: euskarazko txio formal eta informalak sailkatuz eta konparatuz
(2018-11-09)[EU]Teknologia berrien etengabeko garapenak aldaketak eragin ditu gizakion arteko komunikazio moduetan. Honela, geroz eta ohikoagoa da sare sozialak eguneroko bizitzan erabiltzea, inolako mugarik gabeko komunikazioa ... -
Genial...: Automatic Irony Detection in Spanish Tweets
(2023-06-30)Irony is a form of non-literal speech that can alter the meaning of an utterance. Understanding irony may greatly impact Natural Language Processing (NLP) tasks such as sentiment analysis or stance detection. While a ... -
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 ... -
Grounding Language Models for Compositional and Spatial Reasoning
(2023-06-30)Humans can learn to understand and process the distribution of space, and one of the initial tasks of Artificial Intelligence has been to show machines the relationships between space and the objects that appear in it. ...