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 26–50 of 110 papers

TitleStatusHype
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding—0
Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach—0
Distributional Composition using Higher-Order Dependency Vectors—0
A Survey on Semantic Parsing from the perspective of Compositionality—0
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition—0
Deep Learning for Semantic Composition—0
Inferring Psycholinguistic Properties of Words—0
DAG-Structured Long Short-Term Memory for Semantic Compositionality—0
A Frame-Based Semantics of Locative Alternation in LTAG—0
A Comparison of Vector-based Representations for Semantic Composition—0
Continuation semantics for multi-quantifier sentences: operation-based approaches—0
Coloring Objects: Adjective-Noun Visual Semantic Compositionality—0
A Semantics for Honorifics with Reference to Thai—0
Fusion of Compositional Network-based and Lexical Function Distributional Semantic Models—0
Categorizing Semantic Representations for Neural Machine Translation—0
Fish Transporters and Miracle Homes: How Compositional Distributional Semantics can Help NP Parsing—0
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge—0
Image Synthesis via Semantic Composition—0
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification—0
First Order vs. Higher Order Modification in Distributional Semantics—0
Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries—0
Finding The Best Model Among Representative Compositional Models—0
Intensionality was only alleged: On adjective-noun composition in distributional semantics—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval—0
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