Who Cited It

A Convolutional Neural Network for Modelling Sentences

2014 · 3,571 citations · 12 from inside this corpus

Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom

The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of sentences. The network uses Dynamic k-Max Pooling, a global pooling operation over linear sequences. The network handles input sentences of varying length and induces a feature graph over the sentence that is capable of explicitly capturing short and long-range relations. The network does not rely on a parse tree and is easily applicable to any language. We test the DCNN in four experiments: small scale binary and multi-class sentiment prediction, six-way question classification and Twitter sentiment prediction by distant supervision. The network achieves excellent performance in the first three tasks and a greater than 25% error reduction in the last task with respect to the strongest baseline.

A Convolutional Neural Network for Modelling Sentences (2014)A Convolutional Neural Networ…Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Improving neural networks by preventing co-adaptation of feature detectors (2012)Improving neural networks by …A unified architecture for natural language processing (2008)A unified architecture for na…Phoneme recognition using time-delay neural networks (1989)Phoneme recognition using tim…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Extensions of recurrent neural network language model (2011)Extensions of recurrent neura…Convolutional Neural Networks for Sentence Classification (2014)Convolutional Neural Networks…Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…Convolutional 2D Knowledge Graph Embeddings (2018)Convolutional 2D Knowledge Gr…Deep learning for sentiment analysis: A survey (2018)Deep learning for sentiment a…Document Modeling with Gated Recurrent Neural Network for Sentiment Classification (2015)Document Modeling with Gated …Deep Learning Enabled Semantic Communication Systems (2021)Deep Learning Enabled Semanti…Deep Learning--based Text Classification (2021)Deep Learning--based Text Cla…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…
19 of 19 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank20136,849
Improving neural networks by preventing co-adaptation of feature detectors20126,653
A unified architecture for natural language processing20085,207
Phoneme recognition using time-delay neural networks19892,650
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Extensions of recurrent neural network language model20111,603

What cites it, inside the corpus

PaperYearCited
Convolutional Neural Networks for Sentence Classification201413,987
Hierarchical Attention Networks for Document Classification20164,871
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
Convolutional 2D Knowledge Graph Embeddings20182,467
Deep learning for sentiment analysis: A survey20181,918
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification20151,548
Deep Learning Enabled Semantic Communication Systems20211,547
Deep Learning--based Text Classification20211,525
Pre-trained models for natural language processing: A survey20201,521
Teaching Machines to Read and Comprehend20151,519

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Sentiment Analysis and Opinion MiningComputer Science

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  • supports3 author record(s) attached.
  • supports35 reference(s) recorded.
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