Interpretability of BERT Latent Space through Knowledge Graphs-Reference-Cited by-同舟云学术

Interpretability of BERT Latent Space through Knowledge Graphs

Published:2022-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Anelli Vito Walter¹,Biancofiore Giovanni Maria¹,De Bellis Alessandro¹,Di Noia Tommaso¹,Di Sciascio Eugenio¹

Affiliation:

1. Politecnico di Bari, Bari, Italy

Funder

Smart Rights Management Platform

ERP4.0

ServiziLocali2.0

PASSEPARTOUT

BIO-D

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557617

Reference35 articles.

1. Yoshua Bengio Réjean Ducharme and Pascal Vincent. 2000. A neural probabilistic language model. Advances in Neural Information Processing Systems 13. Yoshua Bengio Réjean Ducharme and Pascal Vincent. 2000. A neural probabilistic language model. Advances in Neural Information Processing Systems 13.

2. Antoine Bordes Nicolas Usunier Alberto Garc?a-Durán JasonWeston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NIPS 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garc?a-Durán JasonWeston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In NIPS 2787--2795.

3. Samuel Broscheit . 2019. Investigating entity knowledge in BERT with simple neural end-to-end entity linking . In CoNLL. Association for Computational Linguistics , 677--685. Samuel Broscheit. 2019. Investigating entity knowledge in BERT with simple neural end-to-end entity linking. In CoNLL. Association for Computational Linguistics, 677--685.

4. Kevin Clark , Urvashi Khandelwal , Omer Levy , and Christopher D . Manning . 2019 . What does BERT look at? an analysis of bert's attention. In BlackboxNLP@ACL. Association for Computational Linguistics , 276--286. Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning. 2019. What does BERT look at? an analysis of bert's attention. In BlackboxNLP@ACL. Association for Computational Linguistics, 276--286.

5. Fahim Dalvi , Abdul Rafae Khan , Firoj Alam, Nadir Durrani, Jia Xu, and Hassan Sajjad. 2022 . Discovering latent concepts learned in BERT. CoRR , abs/2205.07237. Fahim Dalvi, Abdul Rafae Khan, Firoj Alam, Nadir Durrani, Jia Xu, and Hassan Sajjad. 2022. Discovering latent concepts learned in BERT. CoRR, abs/2205.07237.

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