| Corpus-guided contrast sets for morphosyntactic feature detection in low-resource English varieties T Masis, A Neal, L Green, B O'Connor arXiv preprint arXiv:2209.07611, 2022 | 7 | 2022 |
| ProSPer: Probing human and neural network language model understanding of spatial perspective T Masis, C Anderson Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting …, 2021 | 2 | 2021 |
| Investigating Morphosyntactic Variation in African American English on Twitter T Masis, C Eggleston, LJ Green, T Jones, M Armstrong, B O'Connor Proceedings of the Society for Computation in Linguistics 6, 2023 | 1 | 2023 |
| Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input T Masis, B O'Connor arXiv preprint arXiv:2404.18784, 2024 | | 2024 |
| Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy User Input T Masis, B O’Connor | | |
| Investigating grammatical variation in African American English on Twitter T Masis, C Eggleston, L Green, T Jones, M Armstrong, B O’Connor | | |
| CAN NEURAL NETWORK LANGUAGE MODELS LEARN SPATIAL PERSPECTIVE FROM TEXT ALONE? CJ Anderson, T Masis | | |
