Browsing Máster Universitario en Análisis y Procesamiento del Lenguaje by Author "Máster Universitario en Análisis y Procesamiento del Lenguaje"
Now showing items 21-26 of 26
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Multilingual processing of temporal expressions: detection and normalisation
García Escribano, Nayla Belén (2023-06-30)Temporal information processing allows us to identify when an event happened, to temporally relate different events and to create timelines with all the extracted information. To achieve these goals, detecting time expressions ... -
Natural Language Inference Models for Few-Shot Text Classification: A Real-World Perspective
Romero Mogrovejo, David Orlando (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 ... -
Politeness control as a domain adaptation problem in NMT: fine-tuning vs. multi-register models for Castilian Spanish
Soler Uguet, Celia (2023-06-30)(EN) Given that Neural Machine Translation (NMT) systems have been proven to generate translations with a quality that is being regarded as close to that of a human, we believe it is the time to start paying attention to ... -
Prototyping a chatbot for practising conversational English with corrective feedback
Gaiazova, Alfiia (2023-06-30)This work focuses on chatbots’ application in the educational domain, and precisely, in the area of foreign language learning. The goal of this project is to create a prototype of a chatbot that aims at improving learners’ ... -
Study of a Metric for Measuring Gender Bias in BERT Language Models
González Hernández, Elvira (2023-06-30)[EN] Since the creation of language models such as BERT, they are being deployed widely as services on platforms to serve millions of users. With their increasing popularity, the fairness of NLP systems and algorithms is ... -
Unsupervised information retrieval using large language models
Domínguez Becerril, Carlos (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 ...