ACL word segmentation correction
<|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:'The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers' . 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" : ["ACL collection","character-level sequence-to-sequence model","word segmentation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data in this collection consists of two parallel directories, one ('raw') containing the raw text of 18850 articles from the ACL 2013/02 collection, the other ('re-segmented') the word-resegmented version of these articles, obtained using nematus, a seq2seq neural model used for machine translation. The motivation for the work was that spurious spaces in the text seemed to be very common, particularly in older papers, obtained by OCR-ing scanned papers
ACL collection; character-level sequence-to-sequence model; word segmentation