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Found 4 papers, 4 papers with code
Transformer Training Strategies for Forecasting Multiple Load Time Series
We evaluate whether a Transformer load forecasting model benefits from a transfer learning strategy, where a global univariate model is trained on the load time series from multiple clients.
A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
We provide a more meaningful and fair in-depth evaluation of a variety of existing end-to-end entity linkers.
ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool
We present Elevant, a tool for the fully automatic fine-grained evaluation of a set of entity linkers on a set of benchmarks.
Tokenization Repair in the Presence of Spelling Errors
We identify three key ingredients of high-quality tokenization repair, all missing from previous work: deep language models with a bidirectional component, training the models on text with spelling errors, and making use of the space information already present.
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