Results 271 to 280 of about 11,564,931 (321)
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Argumentative Relation Classification with Background Knowledge
Comma, 2020A common conception is that the understanding of relations that hold between argument units requires knowledge beyond the text. But to date, argument analysis systems that leverage knowledge resources are still very rare. In this paper, we propose an unsupervised graph-based ranking method that extracts relevant multi-hop knowledge from a background ...
Debjit, Paul +5 more
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Indispensable background knowledge
Psychodynamic Coaching and Supervision for Executives, 2021Thomas Kretschmar, Andreas Hamburger
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Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022Stance detection aims to identify the stance of the text towards a target. Different from conventional stance detection, Zero-Shot Stance Detection (ZSSD) needs to predict the stances of the unseen targets during the inference stage. For human beings, we
Qinglin Zhu +5 more
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A Background Knowledge Revising and Incorporating Dialogue Model
IEEE Transactions on Neural Networks and Learning Systems, 2021Currently, dialogue systems have attracted increasing research interest. In particular, background knowledge is incorporated to improve the performance of dialogue systems.
Xinyan Zhao, Xiao Feng, Huanhuan Chen
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Journal of experimental psychology. General, 2020
A core issue in psycholinguistic research is what the online processes are by which we combine language input and our background knowledge to construct the meaning of a message. We investigate this issue in the context of reading. To build a coherent and
Marianne L. van Moort +3 more
semanticscholar +1 more source
A core issue in psycholinguistic research is what the online processes are by which we combine language input and our background knowledge to construct the meaning of a message. We investigate this issue in the context of reading. To build a coherent and
Marianne L. van Moort +3 more
semanticscholar +1 more source
Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment
Conference on Computer and Communications Security, 2019The wide application of deep learning technique has raised new security concerns about the training data and test data. In this work, we investigate the model inversion problem under adversarial settings, where the adversary aims at inferring information
Ziqi Yang +3 more
semanticscholar +1 more source
The Reading Teacher, 2014
AbstractThis article make a case for the importance of background knowledge in children's comprehension. It suggests that differences in background knowledge may account for differences in understanding text for low‐ and middle‐income children. It then describes strategies for building background knowledge in the age of common core standards.
Susan B. Neuman +2 more
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AbstractThis article make a case for the importance of background knowledge in children's comprehension. It suggests that differences in background knowledge may account for differences in understanding text for low‐ and middle‐income children. It then describes strategies for building background knowledge in the age of common core standards.
Susan B. Neuman +2 more
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STUDENTS' BACKGROUND KNOWLEDGE OF INFORMATICS
INTED proceedings, 2016Students applying to higher education institutions in the Republic of Croatia have different background knowledge of informatics. The existing curricula for the primary and secondary education and inadequate status of informatics as an extracurricular activity and only elective subject in the primary education in the Republic of Croatia cause the great
Oreški, Predrag, Varga, Matija
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Background knowledge in diagnosis
Artificial Intelligence in Medicine, 1992A diagnostic framework in which there is a clear separation between the expertise per se and relevant background knowledge is discussed. We argue for the need to have an explicit representation of background knowledge. Background knowledge is domain foundational knowledge or common-sense knowledge; it is brought into play in the diagnostic context ...
Keravnou-Papailiou, Elpida T. +11 more
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Proceedings of the 2011 workshop on Predictive markup language modeling, 2011
This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background knowledge association rules is presented.
Tomáš Kliegr +2 more
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This paper introduces an attempt for a holistic approach to integrating background knowledge with PMML in the area of association rule mining. An XML format for capturing background knowledge inspired by PMML that scopes pre-processing and background knowledge association rules is presented.
Tomáš Kliegr +2 more
openaire +1 more source