Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher, Alex Perelygin low, Jean Y. Wu low, Jason Chuang low, Christopher D. Manning, Andrew Y. Ng, Christopher Potts
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, Christopher Potts. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. 2013.
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- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- The Stanford CoreNLP Natural Language Processing Toolkit→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- “Why Should I Trust You?”: Explaining the Predictions of Any Classifier→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Sentiment Analysis and Opinion Mining→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Structural Deep Network Embedding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Attention-based LSTM for Aspect-level Sentiment Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recurrent Convolutional Neural Networks for Text Classification→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Deep Contextualized Word Representations→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- On Calibration of Modern Neural Networks→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Reasoning With Neural Tensor Networks for Knowledge Base Completion→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Opinion Mining and Sentiment AnalysisLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Accurate unlexicalized parsingLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→Seeing starsLegacy edge — source detail unavailable
- From Frequency to Meaning: Vector Space Models of Semantics→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Convolutional Neural Networks for Sentence Classification→Seeing starsLegacy edge — source detail unavailable
- Opinion Mining and Sentiment Analysis→Seeing starsLegacy edge — source detail unavailable
- VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text→Opinion Mining and Sentiment AnalysisLegacy edge — source detail unavailable
- VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text→Sentiment Analysis and Opinion MiningLegacy edge — source detail unavailable
- Sentiment Analysis and Opinion Mining→Opinion Mining and Sentiment AnalysisLegacy edge — source detail unavailable
- Sentiment Analysis and Opinion Mining→Seeing starsLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→A unified architecture for natural language processingLegacy edge — source detail unavailable
- A Convolutional Neural Network for Modelling Sentences→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Reasoning With Neural Tensor Networks for Knowledge Base Completion→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Accurate unlexicalized parsingLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Seeing starsLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Deep Learning: Methods and Applications→Reasoning With Neural Tensor Networks for Knowledge Base CompletionLegacy edge — source detail unavailable
- Recurrent Convolutional Neural Networks for Text Classification→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Opinion Mining and Sentiment AnalysisLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→The Stanford CoreNLP Natural Language Processing ToolkitLegacy edge — source detail unavailable
- Hierarchical Attention Networks for Document Classification→Recurrent Convolutional Neural Networks for Text ClassificationLegacy edge — source detail unavailable
- Attention-based LSTM for Aspect-level Sentiment Classification→Sentiment Analysis and Opinion MiningLegacy edge — source detail unavailable
- Attention-based LSTM for Aspect-level Sentiment Classification→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Natural language processing: state of the art, current trends and challenges→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→From Frequency to Meaning: Vector Space Models of SemanticsLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Seeing starsLegacy edge — source detail unavailable
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]→Attention-based LSTM for Aspect-level Sentiment ClassificationLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→A unified architecture for natural language processingLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→A unified architecture for natural language processingLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Convolutional Neural Networks for Sentence ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Hierarchical Attention Networks for Document ClassificationLegacy edge — source detail unavailable
- Deep learning for sentiment analysis: A survey→Attention-based LSTM for Aspect-level Sentiment ClassificationLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→Seeing starsLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→A Convolutional Neural Network for Modelling SentencesLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Deep Contextualized Word RepresentationsLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- ALBERT: A Lite BERT for Self-supervised Learning of Language\n Representations→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- TinyBERT: Distilling BERT for Natural Language Understanding→ALBERT: A Lite BERT for Self-supervised Learning of Language\n RepresentationsLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Seeing starsLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→A unified architecture for natural language processingLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Adaptive Subgradient Methods for Online Learning and Stochastic Optimization | 2010 | 8,621 |
| Opinion Mining and Sentiment Analysis | 2008 | 6,837 |
| A unified architecture for natural language processing | 2008 | 5,207 |
| Accurate unlexicalized parsing | 2003 | 3,059 |
| From Frequency to Meaning: Vector Space Models of Semantics | 2010 | 2,902 |
| Seeing stars | 2005 | 2,164 |
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Topics
| Topic Modeling | Computer Science |
| Sentiment Analysis and Opinion Mining | Computer Science |
| Natural Language Processing Techniques | Computer Science |
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