Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Sequence Labeling

Showing: 9 courses
NPTEL

Natural Language Processing

0 rewiews
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. Topics covered include sound, words and word forms, structures, meaning, and web 2.0 applications
Add to list
40 Lesons
1 day 8 hours
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Scientific Text Mining and Knowledge Graphs

0 rewiews
Explore scientific text mining and knowledge graphs, focusing on sequence labeling, multi-output models, and ensemble learning for information extraction and table component analysis.
Add to list
19 Lesons
34 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Structured Prediction with Local Independence Assumptions

0 rewiews
Explore structured prediction in NLP using local independence assumptions and conditional random fields. Learn about sequence labeling, globally normalized models, and advanced training techniques.
Add to list
26 Lesons
56 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Structured Prediction Basics

0 rewiews
Explore structured prediction in NLP, covering perceptron algorithms, max-margin objectives, and exposure bias remedies. Learn techniques for modeling output interactions and training globally normalized models.
Add to list
17 Lesons
1 hour 10 minutes
On-Demand
Free-Video
Graham Neubig

CMU Neural Nets for NLP - Structured Prediction Basics

0 rewiews
Explore structured prediction in NLP, covering sequence labeling, model interactions, training algorithms, and cost-augmented decoding for improved language understanding and generation.
Add to list
17 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2021 - Structured Prediction with Local Independence Assumptions

0 rewiews
Explore structured prediction in NLP, focusing on local independence assumptions and Conditional Random Fields. Learn about sequence labeling, potential functions, and dynamic programming models.
Add to list
21 Lesons
37 minutes
On-Demand
Free-Video
Graham Neubig

CMU Multilingual NLP 2020 - Advanced Text Classification-Labeling

0 rewiews
Explore advanced text classification and sequence labeling methods, including subword models, unsupervised training, and structured prediction for multilingual NLP applications.
Add to list
24 Lesons
50 minutes
On-Demand
Free-Video
Graham Neubig

CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling

0 rewiews
Explore text classification and sequence labeling in multilingual NLP, covering models, datasets, and neural networks for various language processing tasks.
Add to list
27 Lesons
46 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP 2020 - Structured Prediction with Local Independence Assumptions

0 rewiews
Explore structured prediction in NLP, covering local independence assumptions and Conditional Random Fields for improved sequence labeling and output consistency.
Add to list
12 Lesons
1 hour 9 minutes
On-Demand
Free-Video