Improving the Generalization Ability in Essay Coherence Evaluation Through Monotonic Constraints

Author:

Zheng Chen,Zhang Huan,Zhao Yan,Lai Yuxuan

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Jurafsky, D., Martin, J. H.: Speech and Language Processing, 3rd edn. (Draft of Jan 7, 2023) (2023)

2. Huang, L., Ye, Z., Qin, J., Lin, L., Liang, X.: GRADE: automatic graph-enhanced coherence metric for evaluating open-domain dialogue systems. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 9230–9240 (2020)

3. Christensen, J., Soderland, S., Etzioni, O.: Towards coherent multi-document summarization. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1163–1173 (2013)

4. Miltsakaki, E., Kukich, K.: Evaluation of text coherence for electronic essay scoring systems. Nat. Lang. Eng. 10(1), 25–55 (2004)

5. Burstein, J., Tetreault, J., Andreyev, S.: Using entity-based features to model coherence in student essays. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 681–684 (2010)

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