| Integrating vision and language datasets to measure word concreteness G Kehat, J Pustejovsky Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 10 | 2017 |
| Improving neural metaphor detection with visual datasets G Kehat, J Pustejovsky Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 7 | 2020 |
| The development of multimodal lexical resources J Pustejovsky, T Do, G Kehat, N Krishnaswamy Proceedings of the Workshop on Grammar and Lexicon: interactions and …, 2016 | 5 | 2016 |
| The economic trade-offs of large language models: A case study K Howell, G Christian, P Fomitchov, G Kehat, J Marzulla, L Rolston, ... arXiv preprint arXiv:2306.07402, 2023 | 3 | 2023 |
| Annotation methodologies for vision and language dataset creation G Kehat, J Pustejovsky arXiv preprint arXiv:1607.02769, 2016 | 3 | 2016 |
| Neural metaphor detection with visibility embeddings G Kehat, J Pustejovsky Proceedings of* SEM 2021: The Tenth Joint Conference on Lexical and …, 2021 | 2 | 2021 |
| Statistical Transliteration of Judeo-Arabic Texts G Kehat, N Dershowitz Israeli Sem inar on Computational Linguistics (ISCOL), 2013 | 1 | 2013 |
| [Industry] Distilled Language Models are economically efficient for the enterprise.... mostly. K Howell, G Christian, P Fomitchov, G Kehat, J Marzulla, L Rolston, ... The 61st Annual Meeting Of The Association For Computational Linguistics, 2023 | | 2023 |
| Between Visualizability and Abstractness: Deploying Visual Text to Detect Non-literal Language G Kehat Brandeis University, 2022 | | 2022 |
| k-Nearest Neighbor modifications for the Splice Junction Classification Problem E Levin, G Kehat | | 2013 |
| Improving Neural Metaphor Detection with Visual Datasets J Pustejovsky, G Kehat LREC 2020-Language Resources and Evaluation Conference, 0 | | |
