Results 41 to 50 of about 712 (175)
Robust Domain Adaptation for Machine Reading Comprehension
, 2023 Most domain adaptation methods for machine reading comprehension (MRC) use a pre-trained question-answer (QA) construction model to generate pseudo QA pairs for MRC transfer.
Huang, Zhenyu +4 more
core +1 more source
TT-Net: Topic Transfer-Based Neural Network for Conversational Reading Comprehension
IEEE Access, 2019 Conversational machine reading comprehension (MRC) is a new question answering task, which is more challenging compared to traditional single-turn MRC since it requires a better understanding of conversation history. In this paper, a novel neural network
Gu Yingjie, Gui Xiaolin, Li Defu
doaj +1 more source
ymcui/mrc-model-analysis: Initial Release
, 2022 Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models ...
Yiming Cui
core +1 more source
A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension
, 2020 Legal machine reading comprehension (MRC) is becoming increasingly important as the number of legal documents rapidly grows. Currently, the main approach of MRC is the deep neural network based model which learns multi-level semantic information with ...
Li, Lin +5 more
core +1 more source
A Framework for Evaluation of Machine Reading Comprehension Gold Standards [PDF]
, 2020 Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text. While neural MRC systems gain popularity and achieve noticeable performance, issues are being raised with the methodology used to establish their ...
Schlegel, Viktor; id_orcid +4 more
core +2 more sources
Judicial nested named entity recognition method with MRC framework
International Journal of Cognitive Computing in Engineering, 2023 Judicial named entity recognition (JNER) is a basic task of judicial intelligence and judicial service informatization. At present, the research of JNER has attracted extensive attention.
Hu Zhang +4 more
doaj +1 more source
Applied Sciences, 2022 Answering different multi-choice machine reading comprehension (MRC) questions generally requires different information due to the abundant diversity of the questions, options and passages.
Ziwei Bai +4 more
doaj +1 more source
Improved Machine Reading Comprehension Using Data Validation for Weakly Labeled Data
IEEE Access, 2020 Machine reading comprehension (MRC) is a natural language processing task wherein a given question is answered according to a holistic understanding of a given context.
Yunyeong Yang, Sangwoo Kang, Jungyun Seo
doaj +1 more source
IEEE Access, 2023 Extracting entities and their relationships from financial documents is crucial for analyzing and predicting future market trends. However, the current state of the art in this field faces two major challenges: multiple sentences between related entities
Yixuan Chai +3 more
doaj +1 more source
Angewandte Chemie, EarlyView.A non‐contact computer vision method enables monitoring and quantitative comparison of vessel‐specific CO release kinetics from structurally diverse surrogates in two‐chamber COware reactors, revealing that surrogate reactivity scores correlate with carbonylation reaction outcomes.
Kristin Donnachie +4 more
wiley +2 more sources