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Semantic Composition
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Understanding the meaning of text by composing the meanings of the individual words in the text (Source: https://arxiv.org/pdf/1405.7908.pdf)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
IP-Composer: Semantic Composition of Visual Concepts
EnergyMoGen: Compositional Human Motion Generation with Energy-Based Diffusion Model in Latent Space
DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation
Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach
Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference
Semantic Composition in Visually Grounded Language Models
Syntax-guided Neural Module Distillation to Probe Compositionality in Sentence Embeddings
Categorizing Semantic Representations for Neural Machine Translation
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis
Semantic Prediction: Which One Should Come First, Recognition or Prediction?
Image Synthesis via Semantic Composition
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Quantum Mathematics in Artificial Intelligence
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
A Survey on Semantic Parsing from the perspective of Compositionality
Ontology-guided Semantic Composition for Zero-Shot Learning
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
No Word is an Island -- A Transformation Weighting Model for Semantic Composition
Semantic Hilbert Space for Text Representation Learning
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
A Survey on Deep Learning for Named Entity Recognition
Learning to Compose over Tree Structures via POS Tags
Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification
Meta Multi-Task Learning for Sequence Modeling
The Lifted Matrix-Space Model for Semantic Composition
Semantic Composition via Probabilistic Model Theory
Improving Semantic Composition with Offset Inference
Semantic Compositional Networks for Visual Captioning
Improving Sparse Word Representations with Distributional Inference for Semantic Composition
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