Results 11 to 20 of about 1,895,263 (209)
N-best T5: Robust ASR Error Correction using Multiple Input Hypotheses and Constrained Decoding Space [PDF]
Interspeech, 2023 Error correction models form an important part of Automatic Speech Recognition (ASR) post-processing to improve the readability and quality of transcriptions.
Rao Ma, M. Gales, K. Knill, Mengjie Qian
semanticscholar +1 more source
Market structure and Islamic banking performance in Indonesia: An error correction model
Management Science Letters, 2019 Article history: Received: April 15, 2019 Received in revised format: April 27 2019 Accepted: May 11, 2019 Available online: May 11, 2019 The research aims to highlight the importance of market structure and behavior on Islamic banking performance by ...
Alfi Maghfuriyah, S. Azam, S. Shukri
semanticscholar +1 more source
Text-to-SQL Error Correction with Language Models of Code [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-to-SQL error correction models. Noticing that token-level edits are out of
Ziru Chen +7 more
semanticscholar +1 more source
Error Correction Code Transformer [PDF]
Neural Information Processing Systems, 2022 Error correction code is a major part of the communication physical layer, ensuring the reliable transfer of data over noisy channels. Recently, neural decoders were shown to outperform classical decoding techniques.
Yoni Choukroun, Lior Wolf
semanticscholar +1 more source
Sustainability, 2018 The recent rise in demand for electric vehicles (EV) and energy storage supporting power systems has increased the demand for lithium-ion batteries (LIB), and it is expected to be more significant in near future.
J. Mo, Wooyoung Jeon
semanticscholar +1 more source
Robust maximum likelihood estimation of sparse vector error correction model [PDF]
IEEE Global Conference on Signal and Information Processing, 2017 In econometrics and finance, the vector error correction model (VECM) is an important time series model for cointegration analysis, which is used to estimate the long-run equilibrium variable relationships.
Ziping Zhao, D. Palomar
semanticscholar +1 more source
A Simple Recipe for Multilingual Grammatical Error Correction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 This paper presents a simple recipe to trainstate-of-the-art multilingual Grammatical Error Correction (GEC) models. We achieve this by first proposing a language-agnostic method to generate a large number of synthetic examples.
S. Rothe +4 more
semanticscholar +1 more source
A Nested Attention Neural Hybrid Model for Grammatical Error Correction [PDF]
Annual Meeting of the Association for Computational Linguistics, 2017 Grammatical error correction (GEC) systems strive to correct both global errors inword order and usage, and local errors inspelling and inflection. Further developing upon recent work on neural machine translation, we propose a new hybrid neural model ...
Jianshu Ji +5 more
semanticscholar +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Patients requiring long‐term continuous renal replacement therapy (CRRT) generally have poor prognoses. This study evaluated whether adding continuous intravenous sodium infusion (cIVNa) is associated with improved hemodynamics and outcomes in patients undergoing long‐term CRRT for ≥ 7 days.
Akinori Yamaguchi +6 more
wiley +1 more source
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source