Concept information
Preferred term
NLP4J
Broader concept
Example
- Both NLP4J and Flair are both quite likely to outperform earlier models and Flair is most likely to outperform NLP4J. (Szymanski & Gorman, 2020)
- In contrast NLP4J and Flair are quite likely to outperform the other taggers and Flair has an 80% chance of outperforming NLP4J. (Szymanski & Gorman, 2020)
- In our case the combination of NLP4J with the BIST dependency parser actually outperforms any MXPOST-based pre-processing pipeline. (Kabbach, Ribeyre & Herbelot, 2018)
- To break down the episode-level summaries into scene-level they are segmented into sentences by the tokenizer in NLP4J. (Ma, Jurczyk & Choi, 2018)
In other languages
-
French
URI
http://data.loterre.fr/ark:/67375/8LP-F6W3Z1T0-S
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