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Psychomedical named entity recognition method based on multi-level feature extraction and multi-granularity embedding fusion. [PDF]
Liu Z, Zhang G, Shen Y.
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders. [PDF]
Sajid M+7 more
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Siamese comparative transformer-based network for unsupervised landmark detection. [PDF]
Zhao C+5 more
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EFCRFNet: A novel multi-scale framework for salient object detection. [PDF]
Peng H, Hu Y, Yu B, Zhang Z.
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Principles and Practices for Bipolar Semantics and Impact Measures in Computational Argumentation
Caren Al Anaissy
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Computational Semantics with Functional Programming
2010Computational semantics is the art and science of computing meaning in natural language. The meaning of a sentence is derived from the meanings of the individual words in it, and this process can be made so precise that it can be implemented on a computer.
van Eijck, Jan, Unger, Christina
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Computational Semantics Requires Computation
The Florida AI Research Society, 2012This chapter argues, briefly, that much work in formal Computational Semantics (alias CompSem) is not computational at all, and does not attempt to be; there is some mis-description going on here on a large and long-term scale. The aim of this chapter is to show that such work is not just misdescribed, but loses value because of the scientific ...
Y. Wilks
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Inference and Computational Semantics
Journal of Logic, Language and Information, 2004In this paper we discuss inference in computational semantics. In particular, we argue that state-of-the-art methods in first-order theorem proving and model generation are of direct relevance to inference for natural language processing. This claim is based on our experience of implementing van der Sandt’s approach to presupposition, and much of the ...
Michael Kohlhase, Patrick Blackburn
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Towards a Computational Semantics
1987In ordinary model-theoretic semantics, set-theoretic denotations are assigned to linguistic expressions without regard to computational complexity. Yet, there is a reasonable prima facie case for the assumption that at least basic items in natural language correspond to simple procedures, that are easy to learn. What is needed to investigate such ideas
J. Benthem
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