Semantic search - Wikipedia
Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words
What is the "semantic model" introduced in Apocalypse #1?
Tags: raku, metamodel, rakudo, nqp | Score: 8
Proc. of the 9th Workshop on Semantic Ambient Media Experiences (SAME'2016/2): Visualisati…
The 9th Semantic Ambient Media Experience (SAME) proceedings where based on the academic contributions to a two day workshop that was held at Curtin University, Perth, WA, Australia. The symposium was held to discuss visualisation, emerging media, an...
Bootstrapping Semantic Segmentation with Regional Contrast
We present ReCo, a contrastive learning framework designed at a regional level to assist learning in semantic segmentation. ReCo performs semi-supervised or supervised pixel-level contrastive learning on a sparse set of hard negative pixels, with min...
Semantic Laundering in AI Agent Architectures: Why Tool Boundaries Do Not Confer Epistemic…
LLM-based agent architectures systematically conflate information transport mechanisms with epistemic justification mechanisms. We formalize this class of architectural failures as semantic laundering: a pattern where propositions with absent or weak...
Enabling Semantic Analysis of User Browsing Patterns in the Web of Data
A useful step towards better interpretation and analysis of the usage patterns is to formalize the semantics of the resources that users are accessing in the Web. We focus on this problem and present an approach for the semantic formalization of usag...
CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change De…
We present the results of our participation in the DIACR-Ita shared task on lexical semantic change detection for Italian. We exploit Average Pairwise Distance of token-based BERT embeddings between time points and rank 5 (of 8) in the official ranki...
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
While semantic segmentation has seen tremendous improvements in the past, there are still significant labeling efforts necessary and the problem of limited generalization to classes that have not been present during training. To address this problem,...
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
Proponents of the Distributed Morphology framework have posited the existence of two levels of morphological word formation: a lower one, leading to loose input-output semantic relationships; and an upper one, leading to tight input-output semantic r...
Exploring Lexical, Syntactic, and Semantic Features for Chinese Textual Entailment in NTCI…
We computed linguistic information at the lexical, syntactic, and semantic levels for Recognizing Inference in Text (RITE) tasks for both traditional and simplified Chinese in NTCIR-9 and NTCIR-10. Techniques for syntactic parsing, named-entity recog...
Multi-Scale Convolutions for Learning Context Aware Feature Representations
Finding semantic correspondences is a challenging problem. With the breakthrough of CNNs stronger features are available for tasks like classification but not specifically for the requirements of semantic matching. In the following we present a weakl...
CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Explo…
In this paper, we present CaveSeg - the first visual learning pipeline for semantic segmentation and scene parsing for AUV navigation inside underwater caves. We address the problem of scarce annotated training data by preparing a comprehensive datas...
LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editi…
Text-driven image editing enables users to flexibly modify visual content through natural language instructions, and is widely applied to tasks such as semantic object replacement, insertion, and removal. While recent inversion-based editing methods...
Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill M…
This research introduces a comprehensive system based on state-of-the-art natural language processing, semantic embedding, and efficient search techniques for retrieving similarities and thus generating actionable insights from raw textual informatio...
Decoupling Continual Semantic Segmentation
Continual Semantic Segmentation (CSS) requires learning new classes without forgetting previously acquired knowledge, addressing the fundamental challenge of catastrophic forgetting in dense prediction tasks. However, existing CSS methods typically e...
Towards End-User Development for IoT: A Case Study on Semantic Parsing of Cooking Recipes…
Semantic parsing of user-generated instructional text, in the way of enabling end-users to program the Internet of Things (IoT), is an underexplored area. In this study, we provide a unique annotated corpus which aims to support the transformation of...
[FREE] An inability to form semantic memories would most likely result ...
May 30, 2023 · An inability to form semantic memories is most likely due to damage in the medial temporal lobe of the brain, particularly affecting the hippocampus. The hippocampus is crucial for …
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly
Shape assembly aims to reassemble parts (or fragments) into a complete object, which is a common task in our daily life. Different from the semantic part assembly (e.g., assembling a chair's semantic parts like legs into a whole chair), geometric par...
On Intermediate Inquisitive and Dependence Logics: An Algebraic Study
This article provides an algebraic study of intermediate inquisitive and dependence logics. While these logics are usually investigated using team semantics, here we introduce an alternative algebraic semantics and we prove it is complete for all int...
On Point Affiliation in Feature Upsampling
We introduce the notion of point affiliation into feature upsampling. By abstracting a feature map into non-overlapped semantic clusters formed by points of identical semantic meaning, feature upsampling can be viewed as point affiliation -- designat...