Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Thai, Dung"'
Autor:
Thai, Dung Ngoc, Ardulov, Victor, Mena, Jose Ulises, Tiwari, Simran, Erofeev, Gleb, Eskander, Ramy, Tarabishy, Karim, Parikh, Ravi B, Salloum, Wael
Identifying patient cohorts is fundamental to numerous healthcare tasks, including clinical trial recruitment and retrospective studies. Current cohort retrieval methods in healthcare organizations rely on automated queries of structured data combine
Externí odkaz:
http://arxiv.org/abs/2406.14780
Autor:
Thai, Dung, Agarwal, Dhruv, Chaudhary, Mudit, Zhao, Wenlong, Das, Rajarshi, Zaheer, Manzil, Lee, Jay-Yoon, Hajishirzi, Hannaneh, McCallum, Andrew
We present an accurate and interpretable method for answer extraction in machine reading comprehension that is reminiscent of case-based reasoning (CBR) from classical AI. Our method (CBR-MRC) builds upon the hypothesis that contextualized answers to
Externí odkaz:
http://arxiv.org/abs/2305.14815
Autor:
Thai, Dung, Ravishankar, Srinivas, Abdelaziz, Ibrahim, Chaudhary, Mudit, Mihindukulasooriya, Nandana, Naseem, Tahira, Das, Rajarshi, Kapanipathi, Pavan, Fokoue, Achille, McCallum, Andrew
Knowledge bases (KBs) are often incomplete and constantly changing in practice. Yet, in many question answering applications coupled with knowledge bases, the sparse nature of KBs is often overlooked. To this end, we propose a case-based reasoning ap
Externí odkaz:
http://arxiv.org/abs/2204.08554
Existing work on tabular representation learning jointly models tables and associated text using self-supervised objective functions derived from pretrained language models such as BERT. While this joint pretraining improves tasks involving paired ta
Externí odkaz:
http://arxiv.org/abs/2105.02584
Autor:
Das, Rajarshi, Zaheer, Manzil, Thai, Dung, Godbole, Ameya, Perez, Ethan, Lee, Jay-Yoon, Tan, Lizhen, Polymenakos, Lazaros, McCallum, Andrew
It is often challenging to solve a complex problem from scratch, but much easier if we can access other similar problems with their solutions -- a paradigm known as case-based reasoning (CBR). We propose a neuro-symbolic CBR approach (CBR-KBQA) for q
Externí odkaz:
http://arxiv.org/abs/2104.08762
Publikováno v:
AKBC 2020
Accurate parsing of citation reference strings is crucial to automatically construct scholarly databases such as Google Scholar or Semantic Scholar. Citation field extraction (CFE) is precisely this task---given a reference label which tokens refer t
Externí odkaz:
http://arxiv.org/abs/2006.05563
Complex textual information extraction tasks are often posed as sequence labeling or \emph{shallow parsing}, where fields are extracted using local labels made consistent through probabilistic inference in a graphical model with constrained transitio
Externí odkaz:
http://arxiv.org/abs/1809.10835
Publikováno v:
Comptes Rendus. Mécanique, Vol 350, Iss G1, Pp 121-141 (2022)
The nonlinear static bending analysis of microplates resting on imperfect Pasternak elastic foundations is carried out in this paper. The finite element method based on the modified couple stress theory is used to derive the nonlinear finite element
Externí odkaz:
https://doaj.org/article/c1be84da650e486cae090a8ad7fbbc9a
In textual information extraction and other sequence labeling tasks it is now common to use recurrent neural networks (such as LSTM) to form rich embedded representations of long-term input co-occurrence patterns. Representation of output co-occurren
Externí odkaz:
http://arxiv.org/abs/1708.00553
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.