arXiv:1708.05857
공식 코드 · Papers with Code
The CLaC Discourse Parser at CoNLL-2015
원문 초록
This paper describes our submission (kosseim15) to the CoNLL-2015 shared task on shallow discourse parsing. We used the UIMA framework to develop our parser and used ClearTK to add machine learning functionality to the UIMA framework. Overall, our parser achieves a result of 17.3 F1 on the identification of discourse relations on the blind CoNLL-2015 test set, ranking in sixth place.
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Can we obtain significant success in RST discourse parsing by using Large Language Models?
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition
토론
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