Results 181 to 190 of about 335 (211)
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Advanced Materials Technologies, EarlyView.Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
High Throughput Aerosol Jet Printing to Operationalize High Aspect Ratio Patterning
Advanced Materials Technologies, EarlyView.High‐throughput aerosol jet printing poses distinct limiting mechanisms to the printing process. These include rapidly changing ink chemistries, atomization instabilities, and liquid‐phase spreading. The combination of in‐line heating, process monitoring, and traditional optimization procedures enables rapid printing of high‐aspect‐ratio structures ...
Bella I. Guyll +4 more
wiley +1 more source
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Machine Reading Comprehension with Rich Knowledge
International Journal of Pattern Recognition and Artificial Intelligence, 2022Machine reading comprehension (MRC) is a crucial and challenging task in natural language processing (NLP). With the development of deep learning, language models have achieved excellent results. However, these models still cannot answer complex questions.
Jun He 0009 +5 more
openaire +2 more sources
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
In this paper, we study the machine reading comprehension of temporal order in text. Given a document of instruction sequences, a model aims to find out the most coherent sequences of activities matching the document among all answer candidates. To tackle the task, we proposeOrdMatch model, which is able to match each activity in a sequence to the ...
Ao Liu 0008 +4 more
openaire +2 more sources
In this paper, we study the machine reading comprehension of temporal order in text. Given a document of instruction sequences, a model aims to find out the most coherent sequences of activities matching the document among all answer candidates. To tackle the task, we proposeOrdMatch model, which is able to match each activity in a sequence to the ...
Ao Liu 0008 +4 more
openaire +2 more sources
Learning Parameter Analysis for Machine Reading Comprehension
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2021Machine reading comprehension is a classic issue artificial intelligence. It is a key technology in the next generation search engine and intelligent interactive service. The traditional methods usually work in a small scale of data sets. The traditional system cannot meet the emerging demand.
, Cui Ping
exaly +2 more sources
Machine Reading Comprehension: Challenges and Approaches
2021142 pages ; Machine reading comprehension (MRC) tasks have attracted substantial attention from both academia and industry. These tasks require a machine reader to answer questions relevant to a given document provided as input. In this dissertation, we mainly focus on non-extractive MRC, in which a significant percentage of candidate answers are not ...
openaire +2 more sources
A New Fusion Method on Machine Reading Comprehension
Proceedings of the 2020 2nd International Conference on Big Data Engineering, 2020Machine reading comprehension, as one of the core tasks of natural language processing, has been a research focus in this field. This paper is mainly aimed at Dureader, a Chinese-oriented multi-document reading comprehension task dataset, and an end-to-end machine reading comprehension model based on neural network is proposed.
Wenfang Tang, Hong Jiang, Kejia Xu
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Human Behavior Inspired Machine Reading Comprehension
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019Machine Reading Comprehension (MRC) is one of the most challenging tasks in both NLP and IR researches. Recently, a number of deep neural models have been successfully adopted to some simplified MRC task settings, whose performances were close to or even better than human beings. However, these models still have large performance gaps with human beings
Yukun Zheng +5 more
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A Survey of Machine Reading Comprehension Methods
2022 International Conference on Asian Language Processing (IALP), 2022Xiaobo Xu, Turdi Tohti, Askar Hamdulla
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Frame-based Neural Network for Machine Reading Comprehension
Knowledge-Based Systems, 2021Xiaoli Li, Shaoru Guo, Yong Guan
exaly