Zobrazeno 1 - 10
of 10 273
pro vyhledávání: '"MARTIN, A. H."'
Autor:
Nowak, Katarzyna, Krause, Martin G. H., Siegert, Thomas, Forbrich, Jan, Yates, Robert M., Ramírez-Galeano, Laura, Charbonnel, Corinne, Gieles, Mark
Self-enrichment is one of the leading explanations for chemical anomalies in globular clusters. In this scenario, various candidate polluter stars have been proposed to eject gas with altered chemical composition during the self-enrichment process. M
Externí odkaz:
http://arxiv.org/abs/2409.16362
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing
Autor:
Ahmed, Shafiuddin Rehan, Wang, Zhiyong Eric, Baker, George Arthur, Stowe, Kevin, Martin, James H.
The most popular Cross-Document Event Coreference Resolution (CDEC) datasets fail to convey the true difficulty of the task, due to the lack of lexical diversity between coreferring event triggers (words or phrases that refer to an event). Furthermor
Externí odkaz:
http://arxiv.org/abs/2407.11988
This paper is dedicated to the design and evaluation of the first AMR parser tailored for clinical notes. Our objective was to facilitate the precise transformation of the clinical notes into structured AMR expressions, thereby enhancing the interpre
Externí odkaz:
http://arxiv.org/abs/2405.09153
Autor:
Nath, Abhijnan, Jamil, Huma, Ahmed, Shafiuddin Rehan, Baker, George, Ghosh, Rahul, Martin, James H., Blanchard, Nathaniel, Krishnaswamy, Nikhil
Event coreference resolution (ECR) is the task of determining whether distinct mentions of events within a multi-document corpus are actually linked to the same underlying occurrence. Images of the events can help facilitate resolution when language
Externí odkaz:
http://arxiv.org/abs/2404.08949
Autor:
Ahmed, Shafiuddin Rehan, Baker, George Arthur, Judge, Evi, Regan, Michael, Wright-Bettner, Kristin, Palmer, Martha, Martin, James H.
Event Coreference Resolution (ECR) as a pairwise mention classification task is expensive both for automated systems and manual annotations. The task's quadratic difficulty is exacerbated when using Large Language Models (LLMs), making prompt enginee
Externí odkaz:
http://arxiv.org/abs/2404.08656
This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experi
Externí odkaz:
http://arxiv.org/abs/2403.15407
The precession of astrophysical jets produced by active-galactic nuclei is likely related to the dynamics of the accretion disks surrounding the central supermassive black holes (BHs) from which jets are launched. The two main mechanisms that can dri
Externí odkaz:
http://arxiv.org/abs/2403.00066
Autor:
Suresh, Abhijit, author, Penuel, William R., author, Jacobs, Jennifer K., author, Raza, Ali, author, Martin, James H., author, Sumner, Tamara, author
Publikováno v:
Uses of Artificial Intelligence in STEM Education, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198882077.003.0017
Autor:
Sasaki, Manami, Robrade, Jan, Krause, Martin G. H., Knies, Jonathan R., Tsuge, Kisetsu, Pühlhofer, Gerd, Strong, Andrew
During the first four all-sky surveys eRASS:4 carried out from December 2019 to 2021, the extended Roentgen Survey with an Imaging Telescope Array (eROSITA) on board Spektrum-Roentgen-Gamma (Spektr-RG, SRG) observed the Galactic HII region Carina neb
Externí odkaz:
http://arxiv.org/abs/2312.03346
Autor:
Zhou, Yefan, Pang, Tianyu, Liu, Keqin, Martin, Charles H., Mahoney, Michael W., Yang, Yaoqing
Regularization in modern machine learning is crucial, and it can take various forms in algorithmic design: training set, model family, error function, regularization terms, and optimizations. In particular, the learning rate, which can be interpreted
Externí odkaz:
http://arxiv.org/abs/2312.00359