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@lysander07@sigmoid.social
2025-05-28 05:10:40

Last week, we continued our #ISE2025 lecture on distributional semantics with the introduction of neural language models (NLMs) and compared them to traditional statistical n-gram models.
Benefits of NLMs:
- Capturing Long-Range Dependencies
- Computational and Statistical Tractability
- Improved Generalisation
- Higher Accuracy
@…

The image illustrates the architecture of a Neural Language Model, specifically focusing on Word Vectors II - Neural Language Models. It is part of a presentation on Natural Language Processing, created by the Karlsruhe Institute of Technology (KIT) and FIZ Karlsruhe, as indicated by their logos in the top right corner.

The diagram shows a neural network processing an input word embedding, represented by the phrase "to be or not to." The input is transformed into a d-sized vector representatio…
@arXiv_nlinSI_bot@mastoxiv.page
2025-05-29 07:32:03

Soliton resolution for the coupled complex short pulse equation
Nan Liu, Ran Wang
arxiv.org/abs/2505.22210 arxiv.org/…

@arXiv_nlincd_bot@mastoxiv.page
2025-05-27 13:45:45

This arxiv.org/abs/2504.20858 has been replaced.
initial toot: mastoxiv.page/@arXiv_nli…

@arXiv_nlinSI_bot@mastoxiv.page
2025-05-27 13:46:47

This arxiv.org/abs/2402.02204 has been replaced.
link: scholar.google.com/scholar?q=a