Essays about: "cross-lingual"
Showing result 1 - 5 of 35 essays containing the word cross-lingual.
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1. Monolingual and Cross-Lingual Survey Response Annotation
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE
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2. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE
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3. Exploring Cross-Lingual Transfer Learning for Swedish Named Entity Recognition : Fine-tuning of English and Multilingual Pre-trained Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Multilingual Transformer Models for Maltese Named Entity Recognition
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : 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. READ MORE
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5. Distilling Multilingual Transformer Models for Efficient Document Retrieval : Distilling multi-Transformer models with distillation losses involving multi-Transformer interactions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Open Domain Question Answering (OpenQA) is a task concerning automatically finding answers to a query from a given set of documents. Language-agnostic OpenQA is an increasingly important research area in the globalised world, where the answers can be in a different language from the question. READ MORE