Results 81 to 90 of about 421,206 (291)
Theoretical Computer Science, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Comparing semantically related sentences [PDF]
Proceedings of the 20th international conference on Computational Linguistics - COLING '04, 2004 Paraphrases and other semantically related sentences present a challenge to NLP and IR applications such as multi-document summarization and question answering systems. While it is generally agreed that paraphrases contain approximately equivalent ideas, they often differ from one another in subtle, yet non-trivial, ways.
Jahna Otterbacher, Dragomir Radev
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Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
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LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
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Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
, 2018 The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core
A platform for semantic web studies [PDF]
, 2010 The Semantic Web can be seen as a large, heterogeneous network of ontologies and semantic documents. Characterizing these ontologies, the way they relate and the way they are organized can help in better understanding how knowledge is produced and ...
Allocca, Carlo +2 more
core
Partition semantics for relations
Journal of Computer and System Sciences, 1985 We use set-theoretic partitions to assign semantics to relation schemes, relations, and dependencies. This approach leads to a natural extension of functional dependencies, the most common database constraints, which is based on the duality between product and sum of partitions. These more general constraints, which we call partition dependencies (PDs),
Cosmadakis, Stavros S. +2 more
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AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
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Embedding Semantic Relations into Word Representations [PDF]
, 2015 Learning representations for semantic relations is important for various tasks such as analogy detection, relational search, and relation classification.
Bollegala, Danushka +2 more
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Advanced Intelligent Systems, EarlyView.Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
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