Results 271 to 280 of about 2,849,097 (327)
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PISA—A procedure for analyzing the structure of explanatory texts
Text - Interdisciplinary Journal for the Study of Discourse, 1996Linguistic analyses of text corpora have contributed to the understanding of natural language processing in both reading and writing. However, the impact of text analysis in psycho-linguistic research has been limited, mainly because the analyses hardly ever concern text structure.
Sanders, T.J.M., van Wijk, C.
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Acquiring intersentential explanatory connections in expository texts
International Journal of Human-Computer Studies, 1996A taxonomy of explanatory links connecting sentences in expository texts is presented. It is also shown that there are two types of knowledge, which we have called analytical and empirical knowledge in analogy to the distinction between analytical and empirical sentences, that allow us to find and learn the explanatory connections.
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Finding and learning explanatory connections from scientific texts
[Proceedings 1989] IEEE International Workshop on Tools for Artificial Intelligence, 2003A theory for detecting and learning the explanatory connections between sentences in scientific texts is presented. A program called SNOWY that embodies the theory is also described. The knowledge in the program is organized around the notions of analytic and empirical knowledge.
Gomez, Fernando, Segami, Carlos
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Explanatory Interactive Machine Learning
AAAI/ACM Conference on AI, Ethics, and Society, 2019Although interactive learning puts the user into the loop, the learner remains mostly a black box for the user. Understanding the reasons behind predictions and queries is important when assessing how the learner works and, in turn, trust.
Stefano Teso, K. Kersting
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Can ChatGPT Make Explanatory Inferences? Benchmarks for Abductive Reasoning
arXiv.orgExplanatory inference is the creation and evaluation of hypotheses that provide explanations, and is sometimes known as abduction or abductive inference.
P. Thagard
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A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization
arXiv.orgThis research investigates prompt designs of evaluating generated texts using large language models (LLMs). While LLMs are increasingly used for scoring various inputs, creating effective prompts for open-ended text evaluation remains challenging due to ...
Kuanchao Chu +2 more
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Dense and Disconnected: Analyzing the Sedimented Style of ChatGPT-Generated Text at Scale
Written CommunicationChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology’s capacity to generate one-off texts in a variety of genres.
Ben Markey +3 more
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Annual Meeting of the Association for Computational Linguistics
In order to oversee advanced AI systems, it is important to understand their underlying decision-making process. When prompted, large language models (LLMs) can provide natural language explanations or reasoning traces that sound plausible and receive ...
Noah Siegel +3 more
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In order to oversee advanced AI systems, it is important to understand their underlying decision-making process. When prompted, large language models (LLMs) can provide natural language explanations or reasoning traces that sound plausible and receive ...
Noah Siegel +3 more
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Social Medicine and Health Management
: This article proposes an innovative comprehensive framework that deeply integrates Large Language Models (LLM) with Knowledge Graphs (KG) to meet the urgent need for high-quality professional knowledge in medical question answering systems.
Jinzhu Yang
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: This article proposes an innovative comprehensive framework that deeply integrates Large Language Models (LLM) with Knowledge Graphs (KG) to meet the urgent need for high-quality professional knowledge in medical question answering systems.
Jinzhu Yang
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Semantically-Driven Explanatory Text Mining: Beyond Keywords
2004In this paper, a new explanatory and high-level approach to knowledge discovery from texts is described which uses natural language techniques and and evolutionary computation based optimization to find novel patterns in textual information. In addition, some results showing the promise of the approach towards effective text mining when compared to ...
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