Sökning: "cross-lingual learning"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden cross-lingual learning.

1. 1. Monolingual and Cross-Lingual Survey Response Annotation

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yahui Zhao; [2023]
   Nyckelord :transfer learning; zero-shot cross-lingual transfer; model-based transfer; multilingual pre-trained language models; sequence labeling; open-ended questions; democracy;

   Sammanfattning : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. LÄS MER

3. 2. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Iliana Fosteri; [2023]
   Nyckelord :dependency parsing; part-of-speech tagging; low-resource languages; transcribed speech; large language models; cross-lingual learning; transfer learning; multi-task learning; Universal Dependencies;

   Sammanfattning : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. LÄS MER

4. 3. Exploring Cross-Lingual Transfer Learning for Swedish Named Entity Recognition : Fine-tuning of English and Multilingual Pre-trained Models

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Daniel Lai Wikström; Axel Sparr; [2023]
   Nyckelord :NER; Cross-lingual transfer; Transformer; BERT; Deep Learning; namnigenkänning; NER; multilingvistisk överföring; Transformer; BERT; deep learning;

   Sammanfattning : Named Entity Recognition (NER) is a critical task in Natural Language Processing (NLP), and recent advancements in language model pre-training have significantly improved its performance. However, this improvement is not universally applicable due to a lack of large pre-training datasets or computational budget for smaller languages. LÄS MER

5. 4. Multilingual Transformer Models for Maltese Named Entity Recognition

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Kris Farrugia; [2022]
   Nyckelord :low-resource; named-entity; information extraction; Maltese;

   Sammanfattning : The recently developed state-of-the-art models for Named Entity Recognition are heavily dependent upon huge amounts of available annotated data. Consequently, it is extremely challenging for data-scarce languages to obtain significant result. LÄS MER

7. 5. Zero-shot cross-lingual transfer learning for sentiment analysis on Swedish chat conversations

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Siri Ann Göhl; [2022]
   Nyckelord :;

   Sammanfattning : As the field of machine learning grows, so do the publicly available datasets. However, in the field of natural language processing, datasets within specific languages and tasks can be scarce. LÄS MER