Sökning: "Named Entity Recognition"

Visar resultat 16 - 20 av 62 uppsatser innehållade orden Named Entity Recognition.

1. 16. Improving a Few-shot Named Entity Recognition Model Using Data Augmentation

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

   Författare :David Mellin; [2022]
   Nyckelord :Named Entity Recognition; Data Augmentation; Self-training; BERT; Few-shot Learning; Identifiering av namngivna entiteter; Datautökning; Självträning; BERT; Fåförsöksinlärning;

   Sammanfattning : To label words of interest into a predefined set of named entities have traditionally required a large amount of labeled in-domain data. Recently, the availability of pre-trained transformer-based language models have enabled multiple natural language processing problems to utilize transfer learning techniques to construct machine learning models with less task-specific labeled data. LÄS MER

3. 17. Task-agnostic knowledge distillation of mBERT to Swedish

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

   Författare :Added Kina; [2022]
   Nyckelord :Natural Language Processing; Transformers; Knowledge Distillation; BERT; Multilingual Models; Cross-Lingual Transfer; Naturlig bearbetning av språk; Transformatorer; Kunskapsdestillation; BERT; Flerspråkiga modeller; Tvärspråklig inlärningsöverföring;

   Sammanfattning : Large transformer models have shown great performance in multiple natural language processing tasks. However, slow inference, strong dependency on powerful hardware, and large energy consumption limit their availability. LÄS MER

4. 18. Investigating Few-Shot Transfer Learning for Address Parsing : Fine-Tuning Multilingual Pre-Trained Language Models for Low-Resource Address Segmentation

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

   Författare :Hrafndís Heimisdóttir; [2022]
   Nyckelord :Address Parsing; Address Segmentation; Few-Shot Learning; Transfer Learning; Named Entity Recognition; Adressavkodning; Adress Segmentering; Inlärning med Få Exempel; Överföringsinlärning;

   Sammanfattning : Address parsing is the process of splitting an address string into its different address components, such as street name, street number, et cetera. Address parsing has been quite extensively researched and there exist some state-ofthe-art address parsing solutions, mostly unilingual. LÄS MER

5. 19. Data Fusion and Text Mining for Supporting Journalistic Work

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Vermes Zsombor; [2022]
   Nyckelord :text mining; data fusion; algorithmic journalism; computational journalism; keyword extraction; named entity recognition; sentiment analysis; fake news classification;

   Sammanfattning : During the past several decades, journalists have been struggling with the ever growing amount of data on the internet. Investigating the validity of the sources or finding similar articles for a story can consume a lot of time and effort. These issues are even amplified by the declining size of the staff of news agencies. LÄS MER

7. 20. Conversational Engine for Transportation Systems

   Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Albin Sidås; Simon Sandberg; [2021]
   Nyckelord :Natural Language Processing; Topic Classification; Named Entity Classification; NLP; NER; NERC;

   Sammanfattning : Today's communication between operators and professional drivers takes place through direct conversations between the parties. This thesis project explores the possibility to support the operators in classifying the topic of incoming communications and which entities are affected through the use of named entity recognition and topic classifications. LÄS MER