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Deep Learning
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Representation Learning
4516 directly classified papers
Papers per year
2006: 7
2007: 2
2008: 7
2009: 1
2010: 5
2011: 9
2012: 20
2013: 37
2014: 51
2015: 47
2016: 86
2017: 197
2018: 322
2019: 499
2020: 569
2021: 521
2022: 608
2023: 552
2024: 535
2025: 432
2026: 9
Papers
Deriving continous grounded meaning representations from referentially structured multimodal contexts
EMNLP 2017
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
EMNLP 2017
A Cognition Based Attention Model for Sentiment Analysis
EMNLP 2017
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects
ACL 2017
Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network
EACL 2017
SMARTies: Sentiment Models for Arabic Target entities
EACL 2017
Multilingual Training of Crosslingual Word Embeddings
EACL 2017
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
EACL 2017
Character-Word LSTM Language Models
EACL 2017
SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector
SEMEVAL 2017
ResSim at SemEval-2017 Task 1: Multilingual Word Representations for Semantic Textual Similarity
SEMEVAL 2017
QLUT at SemEval-2017 Task 1: Semantic Textual Similarity Based on Word Embeddings
SEMEVAL 2017
DT_Team at SemEval-2017 Task 1: Semantic Similarity Using Alignments, Sentence-Level Embeddings and Gaussian Mixture Model Output
SEMEVAL 2017
End-to-end Network for Twitter Geolocation Prediction and Hashing
IJCNLP 2017
Neuramanteau: A Neural Network Ensemble Model for Lexical Blends
IJCNLP 2017
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification
IJCNLP 2017
Implicit Syntactic Features for Target-dependent Sentiment Analysis
IJCNLP 2017
A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
IJCNLP 2017
How Well Can We Predict Hypernyms from Word Embeddings? A Dataset-Centric Analysis
EACL 2017
Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources
EACL 2017
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
EACL 2017
Explaining and Generalizing Skip-Gram through Exponential Family Principal Component Analysis
EACL 2017
Effective search space reduction for spell correction using character neural embeddings
EACL 2017
Neural Architectures for Fine-grained Entity Type Classification
EACL 2017
What Do Recurrent Neural Network Grammars Learn About Syntax?
EACL 2017
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