Remove us-en search results
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Gaining Global Insights with Multilingual Entity Linking

Ontotext

The results unequivocally demonstrated BELA’s superior performance across all languages when contrasted with IXA+MGENRE. English (en) BELA 0.72 English (en) BELA 0.72 This allowed us to understand how the performance of MEL systems compared to the one of English-only systems. IXA+MGENRE 0.79 IXA+MGENRE 0.71 IXA+MGENRE 0.71

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

Displayed below are a few results from my initial search: Groupings of three images for each class of gym equipment, representative of initial search results. I sent each foreground-background pair through the pipeline, resulting in over 5,400 simulated images!

Metrics 58
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Disinformation Research with @lucas_a_meyer: TDI 21

Data Science 101

I use PyTorch for that. I do summarization and RAG as intermediate or final steps, and this is where I use LLMs. Very cool what types of information are you searching for? Are your results used to impact search results? That’s one of the main uses.

Finance 64