Z Tang, M Kejriwal - arXiv preprint arXiv:2302.09068, 2023 - arxiv.org
We conduct a pilot study selectively evaluating the cognitive abilities (decision making and spatial reasoning) of two recently released generative transformer models, ChatGPT and …
Z Tang, M Kejriwal - Discover Artificial Intelligence, 2023 - Springer
We present a detailed case study evaluating selective cognitive abilities (decision making and spatial reasoning) of two recently released generative transformer models, ChatGPT …
IS Rozhkov, NV Loukachevitch - Lobachevskii Journal of Mathematics, 2023 - Springer
The paper studies domain-transfer capabilities of the machine reading comprehension model (MRC) in named entity recognition task. In such a task, the model is required to …
T Aoyama, N Schneider - Proceedings of the 2022 Conference of …, 2022 - aclanthology.org
The current study quantitatively (and qualitatively for an illustrative purpose) analyzes BERT's layer-wise masked word prediction on an English corpus, and finds that (1) the …
S Ahmadi - arXiv preprint arXiv:2209.02465, 2022 - arxiv.org
The focus of this thesis is broadly on the alignment of lexicographical data, particularly dictionaries. In order to tackle some of the challenges in this field, two main tasks of word …
L Gessler, A Blodgett, JC Ledford… - Proceedings of the …, 2022 - aclanthology.org
We present Xposition, an online platform for documenting adpositional semantics across languages in terms of supersenses (Schneider et al., 2018). More than just a lexical …
The purpose of this study was to evaluate the effectiveness of using natural language processing (NLP) artificial intelligence (AI) in enterprise resources planning (ERP) to identify …
Contextualized word embedding (CWE) models such as BERT (Devlin et al.(2019)) have been used in many NLP tasks. Gessler and Schneider (2021)(G&S) focus on the use of …
To a first approximation, understanding the meaning of a sentence involves understanding the meanings of individual words, and how they relate to one another as signaled by …