SOTAVerified

Semantic Composition

Understanding the meaning of text by composing the meanings of the individual words in the text (Source: https://arxiv.org/pdf/1405.7908.pdf)

Papers

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Showing 76–100 of 110 papers

TitleStatusHype
MixSyn: Learning Composition and Style for Multi-Source Image Synthesis—0
Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models—0
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering—0
Multimodal Grammar Implementation—0
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition—0
New Directions in Vector Space Models of Meaning—0
No Word is an Island---A Transformation Weighting Model for Semantic Composition—0
On the Correspondence between Compositional Matrix-Space Models of Language and Weighted Automata—0
Optimizing a Distributional Semantic Model for the Prediction of German Particle Verb Compositionality—0
Polish evaluation dataset for compositional distributional semantics models—0
Quantifying Context Overlap for Training Word Embeddings—0
Quantum Mathematics in Artificial Intelligence—0
Search Space Properties for Learning a Class of Constraint-based Grammars—0
Semantic Clustering and Convolutional Neural Network for Short Text Categorization—0
Semantic Compositionality through Recursive Matrix-Vector Spaces—0
Semantic Composition and Decomposition: From Recognition to Generation—0
Semantic Composition in Visually Grounded Language Models—0
Semantic Composition via Probabilistic Model Theory—0
From Characters to Time Intervals: New Paradigms for Evaluation and Neural Parsing of Time NormalizationsCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Higher-order logical inference with compositional semanticsCode0
A Semantically Compositional Annotation Scheme for Time NormalizationCode0
Improving Semantic Composition with Offset InferenceCode0
Improving Sparse Word Representations with Distributional Inference for Semantic CompositionCode0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
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