BPEmb: Pre-trained Subword Embeddings in 275 Languages (LREC 2018)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["byte-pair encoding","multilingual","subword embeddings"]} <|eot_id|>
 Here is the Description of a dataset. Description:'BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
BPEmb is a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE).In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages betterthan alternative subword approaches, while requiring vastly fewer resources and no tokenization
byte-pair encoding; multilingual; subword embeddings