SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection E Vylomova, J White, E Salesky, SJ Mielke, S Wu, E Ponti, RH Maudslay, ... SIGMORPHON, 2020 | 51 | 2020 |
Intrinsic probing through dimension selection L Torroba Hennigen, A Williams, R Cotterell EMNLP, 2020 | 31* | 2020 |
Probing as quantifying inductive bias A Immer, L Torroba Hennigen, V Fortuin, R Cotterell ACL, 2022 | 6* | 2022 |
Machine reading of historical events O Honovich, L Torroba Hennigen, O Abend, SB Cohen ACL, 2020 | 6 | 2020 |
Same neurons, different languages: Probing morphosyntax in multilingual pre-trained models K Stańczak, E Ponti, L Torroba Hennigen, R Cotterell, I Augenstein NAACL, 2022 | 4 | 2022 |
Classifying dyads for militarized conflict analysis N Stoehr, L Torroba Hennigen, S Ahbab, R West, R Cotterell EMNLP, 2021 | 4 | 2021 |
An Ordinal Latent Variable Model of Conflict Intensity N Stoehr, LT Hennigen, J Valvoda, R West, R Cotterell, A Schein arXiv preprint arXiv:2210.03971, 2022 | 3 | 2022 |
UniMorph 4.0: Universal morphology K Batsuren, O Goldman, S Khalifa, N Habash, W Kieraś, G Bella, ... LREC, 2022 | 2 | 2022 |
A latent-variable model for intrinsic probing K Stańczak, L Torroba Hennigen, A Williams, R Cotterell, I Augenstein AAAI, 2022 | 1 | 2022 |
Learning to Grow Pretrained Models for Efficient Transformer Training P Wang, R Panda, LT Hennigen, P Greengard, L Karlinsky, R Feris, ... arXiv preprint arXiv:2303.00980, 2023 | | 2023 |
A Measure-Theoretic Characterization of Tight Language Models L Du, LT Hennigen, T Pimentel, C Meister, J Eisner, R Cotterell arXiv preprint arXiv:2212.10502, 2022 | | 2022 |
Towards Conditionally Dependent Masked Language Models LT Hennigen, Y Kim | | |