Sökning: "Huggingface"

Hittade 3 uppsatser innehållade ordet Huggingface.

1. 1. Creating eye-catching headlines using BART

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

   Författare :Eva Despinoy; [2022]
   Nyckelord :Transformer; Natural Language Processing; Automatic Text Summarization; Headline Generation; BART;

   Sammanfattning : Social media is a significant factor in information distribution today, and this information landscape contains a lot of different posts that compete for the user’s attention. Different factors can help catch the interest of the user, and one of them is the headline of the message. LÄS MER

3. 2. Large-Context Question Answering with Cross-Lingual Transfer

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Markus Sagen; [2021]
   Nyckelord :Long-Context Multilingual Model; Longformer XLM-R; Longformer; Long-term Context; Extending Context; Extend Context; Large-Context; Long-Context; Large Context; Long Context; Cross-Lingual; Multi-Lingual; Cross Lingual; Multi Lingual; QA; Question-Answering; Question Answering; Transformer model; Machine Learning; Transfer Learning; SQuAD; Memory; Transfer Learning; Long-Context; Long Context; Efficient; Monolingual; Multilingual; QA model; Language Model; Huggingface; BERT; RoBERTa; XLM-R; mBERT; Multilingual BERT; Efficient Transformers; Reformer; Linformer; Performer; Transformer-XL; Wikitext-103; TriviaQA; HotpotQA; WikiHopQA; VINNOVA; Peltarion; AI; LM; MLM; Deep Learning; Natural Language Processing; NLP; Attention; Transformers; Transfer Learning; Datasets;

   Sammanfattning : Models based around the transformer architecture have become one of the most prominent for solving a multitude of natural language processing (NLP)tasks since its introduction in 2017. However, much research related to the transformer model has focused primarily on achieving high performance and many problems remain unsolved. LÄS MER

4. 3. Surmize: An Online NLP System for Close-Domain Question-Answering and Summarization

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Alexander Bergkvist; Nils Hedberg; Sebastian Rollino; Markus Sagen; [2020]
   Nyckelord :Summary; Summarization; Abstractive Summarization; Extractive Summarization; ASUS; ESUS; Question Answering; Question-Answering; QA; QA Model; QA System; Natural Language Processing; NLP; Online NLP System; Machine Learning; ML; Deep Learning; DL; Close-Domain Question Answering; cdQA; Transformer Model; transformer; Transformer; BERT; Watson; Online QA; Online Summary; Online Summarization; Spacy; FastAPI; Surmize; Huggingface;

   Sammanfattning : The amount of data available and consumed by people globally is growing. To reduce mental fatigue and increase the general ability to gain insight into complex texts or documents, we have developed an application to aid in this task. LÄS MER