Essays about: "Naturlig språkbehandling NLP"

Showing result 1 - 5 of 15 essays containing the words Naturlig språkbehandling NLP.

1. 1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuxin Sun; [2023]
   Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

   Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

3. 2. BERTie Bott’s Every Flavor Labels : A Tasty Guide to Developing a Semantic Role Labeling Model for Galician

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Micaella Bruton; [2023]
   Keywords : natural language processing; NLP; Galician; low-resource language; low resource language; semantic role labeling; SRL; mBERT; XLM-R; transfer-learning; transfer learning; Spanish; verbal indexing; procesamento de linguaxe natural; NLP; Galego; lingua de recursos limitados; etiquetado de papeis semánticos; SRL; mBERT; XLM-R; aprendizaxe por transferencia; Español; indexación verbal; språkteknologiska verktyg; NLP; naturlig språkbehandling; galiciska; språk med begränsade resurser; semantisk rollmärkning; SRL; mBERT; XLM-R; överföringsinlärning; spanska; verbal indexering; verbalindexering; procesamiento del lenguaje natural; NLP; Gallego; idioma de bajos recursos; etiquetado de roles semánticos; SRL; mBERT; XLM-R; aprendizaje por transferencia; Español; indexación verbal;

   Abstract : For the vast majority of languages, Natural Language Processing (NLP) tools are either absent entirely, or leave much to be desired in their final performance. Despite having nearly 4 million speakers, one such low-resource language is Galician. READ MORE

4. 3. Deriving an Natural Language Processing inference Cost Model with Greenhouse Gas Accounting : Towards a sustainable usage of Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Tom Axberg; [2022]
   Keywords : Machine Learning; Inference; Inferencing; Natural Language Processing; Pre-trained Language Model; Greenhouse Gas; Software Energy Measurement; Floating Point Operations; Green-AI; Green-IT; OPEX; Maskininlärning; Slutledning; Naturlig Språkbehandling; Förutbildad språkmodell; Växthusgas; Energimätning av Mjukvara; Green-AI; Green-IT. OPEX;

   Abstract : The interest in using State-Of-The-Art (SOTA) Pre-Trained Language Model (PLM) in product development is growing. The fact that developers can use PLM has changed the way to build reliable models, and it is the go-to method for many companies and organizations. READ MORE

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

6. 5. Comparison of Machine Learning Models Used for Swedish Text Classification in Chat Messaging

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mezbahul Karim; Amirtaha Amanzadi; [2022]
   Keywords : Machine learning; Natural language processing NLP ; Text classification; Model deployment; BERT; Maskininlärning; Naturlig språkbehandling NLP ; Textklassificering; Modellinstallation; BERT;

   Abstract : The rise of social media and the use of mobile applications has led to increasing concerns regarding the content that is shared through these apps and whether they are being regulated or not. One of the problems that can arise due to a lack of regulation is that chat messages that are inappropriate or of profane nature can be allowed to be shared through these apps. READ MORE