NoNE Found: Explaining the Output of Sequence-to-Sequence Models When No Named Entity Is Recognized

Author:

dela Cruz Jane ArlethORCID,Hendrickx IrisORCID,Larson MarthaORCID

Publisher

Springer Nature Switzerland

Reference31 articles.

1. Agarwal, O., Yang, Y., Wallace, B.C., Nenkova, A.: Interpretability analysis for named entity recognition to understand system predictions and how they can improve. Comput. Linguist. 47(1), 117–140 (2021). https://doi.org/10.1162/coli_a_00397

2. Athiwaratkun, B., Nogueira dos Santos, C., Krone, J., Xiang, B.: Augmented natural language for generative sequence labeling. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 375–385. Association for Computational Linguistics (2020).https://doi.org/10.18653/v1/2020.emnlp-main.27

3. Bastings, J., Ebert, S., Zablotskaia, P., Sandholm, A., Filippova, K.: “Will you find these shortcuts?” A protocol for evaluating the faithfulness of input salience methods for text classification. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp. 976–991. Association for Computational Linguistics, Abu Dhabi (2022). https://doi.org/10.18653/v1/2022.emnlp-main.64

4. Bastings, J., Filippova, K.: The elephant in the interpretability room: why use attention as explanation when we have saliency methods? In: Alishahi, A., Belinkov, Y., Chrupała, G., Hupkes, D., Pinter, Y., Sajjad, H. (eds.) Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pp. 149–155. Association for Computational Linguistics (2020). https://doi.org/10.18653/v1/2020.blackboxnlp-1.14

5. Corbett, P., Copestake, A.: Cascaded classifiers for confidence-based chemical named entity recognition. In: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, pp. 54–62 (2008).https://doi.org/10.1186/1471-2105-9-S11-S4

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