Citation Impact
Citing Papers
Semantics derived automatically from language corpora contain human-like biases
2017 StandoutScience
The spread of true and false news online
2018 StandoutScience
Learning Word Vectors for Sentiment Analysis
2011 Standout
Distributional semantics in linguistic and cognitive research
2008
Compositional Matrix-Space Models for Sentiment Analysis
2011
Estimating Linear Models for Compositional Distributional Semantics
2010
Improving Word Representations via Global Context and Multiple Word Prototypes
2012
Compositional-ly Derived Representations of Morphologically Complex Words in Distributional Semantics
2013
The Role of Syntax in Vector Space Models of Compositional Semantics
2013
Semantic Compositionality through Recursive Matrix-Vector Spaces
2012
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
2017 Standout
Hazard analysis: A deep learning and text mining framework for accident prevention
2020 Standout
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
Distributed Representations of Sentences and Documents
2014 Standout
Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology
2018 Standout
Topic Modeling in Management Research: Rendering New Theory from Textual Data
2019 Standout
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
2016 Standout
Distributional Memory: A General Framework for Corpus-Based Semantics
2010
Knowledge Graph Embedding by Translating on Hyperplanes
2014 Standout
Deep image captioning using an ensemble of CNN and LSTM based deep neural networks
2020 Standout
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
2015 Standout
Learned protein embeddings for machine learning
2018 StandoutNobel
From Frequency to Meaning: Vector Space Models of Semantics
2010
Grounded Compositional Semantics for Finding and Describing Images with Sentences
2014
Transductive Zero-Shot Action Recognition by Word-Vector Embedding
2017
Learning Entity and Relation Embeddings for Knowledge Graph Completion
2015 Standout
Machine Learning for Cultural Heritage: A Survey
2020 Standout
English speech recognition based on deep learning with multiple features
2019 Standout
A Critical Review of Recurrent Neural Networks for Sequence Learning
2015 Standout
Grounding Action Descriptions in Videos
2013
Holographic Embeddings of Knowledge Graphs
2016
Deep learning for sentiment analysis: successful approaches and future challenges
2015
A semantic matching energy function for learning with multi-relational data
2013
From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
2014
Distributed Representations of Words and Phrases and their Compositionality
2013 Standout
Knowledge Graph Embedding: A Survey of Approaches and Applications
2017 Standout
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification
2015
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Enriching Word Vectors with Subword Information
2017 Standout
Deep learning for time series classification: a review
2019 Standout
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
2019 Standout
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Works of Jeff Mitchell being referenced
Vector-based Models of Semantic Composition
2008
Composition in Distributional Models of Semantics
2010
Language models based on semantic composition
2009