Sökning: "fåförsöksinlärning"

Hittade 2 uppsatser innehållade ordet fåförsöksinlärning.

1. 1. 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. 2. Query By Example Keyword Spotting

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

   Författare :Jonas Sunde Valfridsson; [2021]
   Nyckelord :Keyword Spotting; Automatic Speech Recognition; ASR; Query By Example; Deep Distance Learning; Dynamic Time Warping; Few- Shot Learning; Nyckelords igenkänning; automatisk taligenkänning; fåförsöksinlärning;

   Sammanfattning : Voice user interfaces have been growing in popularity and with them an interest for open vocabulary keyword spotting. In this thesis we focus on one particular approach to open vocabulary keyword spotting, query by example keyword spotting. LÄS MER