HIGHLIGHTS
- who: General Paper and collaborators from the u2020 NTT Communication Science Laboratories, NTT Corporation. Currently, he is working at Gunma University. have published the paper: Effectiveness of Syntactic Dependency Information for Higher-Order Syntactic Attention Network, in the Journal: (JOURNAL)
- what: To deal with sentences that have deep dependency trees, the authors focused on the chains of dependency relationships. The authors additionally investigated the performance of HiSAN, which was trained without any syntactic dependency tree information. The authors show the statistics of the selected sentences in Fig 8 and 9. The authors report the average . . .
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