Paper Review

Deep Learnging & Text Mining paper review

Topic

• Relation Extraction
• Text Classification
• Embedding
• Bio Text Mining

Relation Extraction

Survey

• A Survey of Deep Learning Methods for Relation Extraction (arXiv 2017), S Kumar [paper]

CNN

• Convolution Neural Network for Relation Extraction (ADMA 2013), CY Liu et al. [review] [paper]
• Relation Classification via Convolutional Deep Neural Network (COLING 2014), D Zeng et al. [review] [paper]
• Relation Extraction: Perspective from Convolutional Neural Networks (NAACL 2015), TH Nguyen et al. [review] [paper]
• Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks (EMNLP 2015), D Zeng et al. [review] [paper]
• Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks (COLING 2016), X Jiang et al. [review] [paper]
• Incorporating Relation Paths in Neural Relation Extraction (EMNLP 2017), W Zeng et al. [review] [paper]
• MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks (SemEval 2017), JY Lee et al. [paper]

RNN

• End-to-End Relation Extraction using LSTMs on Sequences and Tree Structure (arXiv 2016), M Miwa et al. [paper]
• Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification (ACL 2016), P Zhou et al. [paper]
• Neural Relation Extraction with Selective Attention over Instances (ACL 2016), Y Lin et al. [paper]

Etc.

• Distant supervision for relation extraction without labeled data (ACL 2009), M Mintz et al. [review] [paper]
• End-to-End Neural Relation Extraction with Global Optimization (EMNLP 2017), M Zhang et al. [paper]
• Adversarial Training for Relation Extraction (EMNLP 2017), Y Wu et al. [paper]
• Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning (Journal of Computational Intelligence and Neuroscience 2017), Y Feng et al. [paper]
• A simple neural network module for relational reasoning (arXiv 2017), A Santoro et al. [paper]
• Reasoning With Neural Tensor Networks for Knowledge Base Completion (NIPS 2013), Richard Socher et al. [paper]
• Recent Trends in Deep Learning Based Natural Language Processing (arXiv 2017), T Young et al. [paper]
• A Review of Relation Extraction (Literature review for Language and Statistics II 2 2007), N Bach et al. [paper]
• A Systematic Exploration of the Feature Space for Relation Extraction (NAACL 2007), J Jiang et al. [paper]
• Jointly Extracting Relations with Class Ties via Effective Deep Ranking (arXiv 2016), H Ye et al. [paper]
• A neural joint model for entity and relation extraction from biomedical text (BMC bioinformatics 18.1 2017), F Li et al. [paper]

Text Classification

• Convolutional Neural Networks for Sentence Classification (EMNLP 2014), Yoon Kim [paper] [github] [github2]
• Recurrent Convolutional Neural Networks for Text Classification (AAAI 2015), S Lai et al. [review] [paper]

Embedding

• Character-Aware Neural Language Models (AAAI 2016), Yoon Kim et al. [review] [paper]
• FaceNet: A Unified Embedding for Face Recognition and Clustering (CVPR 2015), Florian Schroff et al. [review] [paper] [github]
• Metric Learning for Text Documents (IEEE Journal), G Lebanon et al. [paper]
• Learning Semantic Similarity for Very Short Texts (ICDMW 2015), C De Boom et al. [paper]
• Awesome Embedding Models [github]
• Distributed Representations of Words and Phrases and their Compositionality (NIPS 2013), T Mikolov et al. [paper]
• Efficient Estimation of Word Representations in Vector Space (ICLR 2013), T Mikolov et al. [paper]
• GloVe: Global Vectors for Word Representation (EMNLP 2014), J Pennington et al. [paper]
• Dependency-Based Word Embeddings (ACL 2014), O Levy et al. [paper]
• Evaluation methods for unsupervised word embeddings (EMNLP 2015), T Schnabel et al. [paper]
• How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks (arXiv 2017), S Jastrzebski et al. [paper] [github]
• Problems With Evaluation of Word Embeddings Using Word Similarity Tasks (arXiv 2016), M Faruqui et al. [paper]

Bio Text Mining

• Tree pattern expression for extracting information from syntactically parsed text corpora (The Journal of Data Mining and Knowledge Discovery 2011), YS Choi [paper]
• BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences. (The Journal of Biological Databases and Curation 2017) Ravikumar KE et al. [paper]