https://api.semanticscholar.org/CorpusID:124959784
https://api.semanticscholar.org/CorpusID:55075085
https://api.semanticscholar.org/CorpusID:122328846
https://api.semanticscholar.org/CorpusID:14636783
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] | IE…
Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which the analysis of a sentence could take up…
https://api.semanticscholar.org/arXiv:2601.10804
Semantic Flow: Learning Semantic Field of Dynamic Scenes from Monocular Videos
In this work, we pioneer Semantic Flow, a neural semantic representation of dynamic scenes from monocular videos. In contrast to previous NeRF methods that reconstruct dynamic scenes from the colors and volume densities of individual points, Semantic...
Semantic analysis - Wikipedia
Look up semantic analysis in Wiktionary, the free dictionary. Semantic analysis may refer to: Semantic analysis (linguistics) Semantic analysis (computational)
Semantic-Org/Semantic-UI
Semantic is a UI component framework based around useful principles from natural language. (⭐ 51138)
Semantic-Org/Semantic-UI-React
The official Semantic-UI-React integration (⭐ 13252)
Measuring Praise and Criticism: Inference of Semantic Orientation from Association
The evaluative character of a word is called its semantic orientation. Positive semantic orientation indicates praise (e.g., "honest", "intrepid") and negative semantic orientation indicates criticism (e.g., "disturbing", "superfluous"). Semantic o...
Geospatial Semantics
Geospatial semantics is a broad field that involves a variety of research areas. The term semantics refers to the meaning of things, and is in contrast with the term syntactics. Accordingly, studies on geospatial semantics usually focus on understand...
johnnylu305/Simple-does-it-weakly-supervised-instance-and-semantic-segmentation
Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017). (⭐ 55)
Polyglot Semantic Parsing in APIs
Traditional approaches to semantic parsing (SP) work by training individual models for each available parallel dataset of text-meaning pairs. In this paper, we explore the idea of polyglot semantic translation, or learning semantic parsing models tha...
Topics | Semantic Scholar
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Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
The fact that there exists a gap between low-level features and semantic meanings of images, called the semantic gap, is known for decades. Resolution of the semantic gap is a long standing problem. The semantic gap problem is reviewed and a survey o...
Semantics and Security Issues in JavaScript
There is a plethora of research articles describing the deep semantics of JavaScript. Nevertheless, such articles are often difficult to grasp for readers not familiar with formal semantics. In this report, we propose a digest of the semantics of Jav...
Minimal founded semantics for disjunctive logic programs and deductive databases
In this paper, we propose a variant of stable model semantics for disjunctive logic programming and deductive databases. The semantics, called minimal founded, generalizes stable model semantics for normal (i.e. non disjunctive) programs but differ...
Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and…
Semantic Edge Computing (SEC) and Semantic Communications (SemComs) have been proposed as viable approaches to achieve real-time edge-enabled intelligence in sixth-generation (6G) wireless networks. On one hand, SemCom leverages the strength of Deep...