Deep Learning for Named Entity Recognition

About a year ago I wrote a blog post about recent research in Deep Learning for Natural Language Processing covering several subareas. One of the areas I didn’t cover was Deep Learning for Named Entity Recognition — so here are some interesting recent (2015–2016) papers related to that:

1. Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks — authors: M Francis
2. Entity Attribute Extraction from Unstructured Text with Deep Belief Network — authors: B Zhong, L Kong, J Liu
3. Learning Word Segmentation Representations to Improve Named Entity Recognition for Chinese Social Media — authors: N Peng, M Dredze
4. Biomedical Named Entity Recognition based on Deep Neutral Network — authors: L Yao, H Liu, Y Liu, X Li, MW Anwar
5. Shared tasks of the 2015 workshop on noisy user-generated text: Twitter lexical normalization and named entity recognition — authors: T Baldwin, MC de Marneffe, B Han, YB Kim, A Ritter…
6. Semi-Supervised Approach to Named Entity Recognition in Spanish Applied to a Real-World Conversational System — authors: SS Bojórquez, VM González
7. Boosting Named Entity Recognition with Neural Character Embeddings — authors: C dos Santos, V Guimaraes, RJ Niterói, R de Janeiro
8. Exploring Recurrent Neural Networks to Detect Named Entities from Biomedical Text — authors: L Li, L Jin, D Huang
9. Entity-centric search: querying by entities and for entities — authors: M Zhou
10. Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach — authors: X Ren, A El
11. Boosting Named Entity Recognition with Neural Character Embeddings — authors: CN Santos, V Guimarães
12. Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network. — authors: Y Wu, M Jiang, J Lei, H Xu
13. Context-aware Entity Morph Decoding — authors: B Zhang, H Huang, X Pan, S Li, CY Lin, H Ji, K Knight…
14. Training word embeddings for deep learning in biomedical text mining tasks — authors: Z Jiang, L Li, D Huang, L Jin
15. Entity Attribute Extraction from Unstructured Text with Deep Belief Network — authors: B Zhong, L Kong, J Liu
16. Building Text-mining Framework for Gene-Phenotype Relation Extraction using Deep Leaning — authors: D Jang, J Lee, K Kim, D Lee
17. Text Mining in Social Media for Security Threats — authors: D Inkpen
18. Text Understanding from Scratch — authors: X Zhang, Y LeCun
19. Syntax-based Deep Matching of Short Texts — authors: M Wang, Z Lu, H Li, Q Liu
20. PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks — authors: J Tang, M Qu, Q Mei
21. Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach — authors: X Ren, A El
22. Domain-Specific Semantic Relatedness from Wikipedia Structure: A Case Study in Biomedical Text– authors: A Sajadi, EE Milios, V Kešelj, JCM Janssen
23. Deep Unordered Composition Rivals Syntactic Methods for Text Classification — authors: M Iyyer, V Manjunatha, J Boyd
24. Representing Text for Joint Embedding of Text and Knowledge Bases — authors: K Toutanova, D Chen, P Pantel, H Poon, P Choudhury…
25. In Defense of Word Embedding for Generic Text Representation — authors: G Lev, B Klein, L Wolf

Best regards,

Amund Tveit (@atveit)

btw: if you want to work (with me) as a Data Scientist on Deep Learning, check out this position