The errors analysis of natural language generation — A case study of Topic-to-Essay generation
2020 16th International Conference on Computational Intelligence and Security (CIS)(2020)
摘要
Although natural language generation (NLG) has achieved great success, there are still many problems with the generated text, if humans carefully examine it. To analyze the problems of NLG, we use manual evaluation methods to annotate and analyze the text generated by NLG. According to the analysis results, we can understand the defects of NLG in-depth, comprehensively, and accurately. Further, th...
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关键词
Annotations,Error analysis,Natural languages,Semantics,Neural networks,Coherence,Manuals
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