Automated Sentence-Level NLP Task
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An Automated Sentence-Level NLP Task is an NLP task that is a sentence-level analysis task (whose inputs are sentences).
- Example(s):
- Counter-Example(s):
- See: Sentence-Level Analysis.
References
2016
- (Schmaltz et al., 2016) ⇒ Allen Schmaltz, Yoon Kim, Alexander M Rush, and Stuart Shieber. (2016). “Sentence-Level Grammatical Error Identification As Sequence-to-Sequence Correction.” In: Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications.
- QUOTE: ... Evaluation is at the sentence level, but the paragraph-level context for each sentence is also provided. The paragraphs, themselves, are shuffled so that full article context is not available. A coarse academic field category is also provided for each paragraph. Our models described below do not make use of the paragraph context nor the field category, and they treat each sentence independently. ...
... As part of pre-processing, we treat each sentence independently, discarding paragraph context (which sentences, if any, were present in the same paragraph) and domain information, which is a coarse grouping by the field of the original journal (Engineering, Computer Science, Mathematics, Physics, etc.). …
- QUOTE: ... Evaluation is at the sentence level, but the paragraph-level context for each sentence is also provided. The paragraphs, themselves, are shuffled so that full article context is not available. A coarse academic field category is also provided for each paragraph. Our models described below do not make use of the paragraph context nor the field category, and they treat each sentence independently. ...