Results 311 to 320 of about 52,458 (341)

Natural Language Inference in Coq

Journal of Logic, Language and Information, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stergios Chatzikyriakidis, Zhaohui Luo
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Inference and the computer understanding of natural language

Artificial Intelligence, 1974
The notion of computer understanding of natural language is examined relative to inference mechanisms designed to function in a language-free deep conceptual base (Conceptual Dependency). The conceptual analysis of a natural language sentence into this conceptual base, and the nature of the memory which stores and operates upon these conceptual ...
Roger C. Schank, Charles J. Rieger III
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Deep Learning for Natural Language Inference

Proceedings of the 2019 Conference of the North, 2019
This tutorial discusses cutting-edge research on NLI, including recent advance on dataset development, cutting-edge deep learning models, and highlights from recent research on using NLI to understand capabilities and limits of deep learning models for language understanding and reasoning.
Samuel R. Bowman, Xiaodan Zhu 0001
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Natural Language Inference

1973
The paper describes the way in which a Preference Semantics system for natural language analysis and generation tackles a difficult class of anaphoric inference problems (finding the correct referent for an English pronoun in context): those requiring either analysis (conceptual) knowledge of a complex sort, or requiring weak inductive knowledge of the
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Conditional Natural Language Inference

Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Youngwoo Kim, Razieh Rahimi, James Allan 0001   +2 more
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Knowledge Augmented Inference Network for Natural Language Inference

2018
This paper proposes a Knowledge Augmented Inference Network (K- AIN) that can effectively incorporate external knowledge into existing neural network models on Natural Language Inference (NLI) task. Different from previous works that use one-hot representations to describe external knowledge, we employ the TransE model to encode various semantic ...
Shan Jiang, Bohan Li, Chunhua Liu, Dong Yu 0003   +3 more
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Natural Logic and Natural Language Inference

2014
We propose a model of natural language inference which identifies valid inferences by their lexical and syntactic features, without full semantic interpretation. We extend past work in natural logic, which has focused on semantic containment and monotonicity, by incorporating both semantic exclusion and implicativity.
Bill MacCartney, Christopher D. Manning
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Concretion Inferences in Natural Language Understanding

1987
This paper introduces the architecture of FRESCO, an integrated inference mechanism and knowledge representation suited to a cognitive model of natural language understanding processes. A particular type of disambiguation inference known as concretion which occurs in language interpretation is examined within this framework. I put forth some principles
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Inferences in natural language understanding

Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, 2002
This paper presents a subsymbolic fuzzy approach to language understanding. The author addresses the issue of natural language understanding in terms of two fundamental inferences: 1) the reasoning of implicit knowledge surrounding the text; and 2) the deduction from the explicit context of the sentences.
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SACNN: Self-attentive Convolutional Neural Network Model for Natural Language Inference

ACM Transactions on Asian and Low-Resource Language Information Processing, 2021
Waris Quamer, Praphula Kumar Jain, Rajendra Pamula   +2 more
exaly