Nov 28, 2021 · Semantic Analysis is a subfield of Natural Language Processing (NLP) that attempts to understand the meaning of Natural Language.
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Aug 5, 2015 · There is no uniform measure of semantic complexity that you could apply to any text regardless of genre, topic or speaker/listener/reader context.
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Abstract. Measuring text complexity is an essential task in several fields and applications (such as NLP, semantic web, smart education, etc.). The semantic.
Computational complexity refers to the study of the resources required for a computer to solve a problem, particularly in terms of time and space as ...
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Abstract. This paper will describe a way to organize the salient objects, their attributes, and relationships between the objects in a given domain.
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This paper explores how verb meanings that differ in semantic complexity are processed and represented.
Jun 29, 2017 · This paper reports a systematic mapping about semantics-concerned text mining studies. This systematic mapping study followed a well-defined protocol.
Sep 11, 2024 · Semantic Analysis of Natural Language captures the meaning of the given text while taking into account context, logical structuring of sentences ...
Abstract. End-to-end spoken language understanding (SLU) models are a class of model architectures that predict semantics directly from speech.
This chapter will consider how to capture the meanings that words and structures express, which is called semantics.