Stef Nelson-Lindall

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 11 citations into it
• Artificial Intelligence — 10 citations into it

Whom Stef Nelson-Lindall trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoon Kim (in Artificial Intelligence)

Papers from Stef Nelson-Lindall's perspective

Ordered by how strongly the researchers Stef Nelson-Lindall trusts endorse each paper. Same corpus, a different order for every researcher.

1. Recurrent neural network based language model
2. A unified architecture for natural language processing: deep neural networks with multitask learning
3. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
4. Character-Aware Neural Language Models
5. Bidirectional recurrent neural networks
6. Convolutional Neural Networks for Sentence Classification
7. The Stanford CoreNLP Natural Language Processing Toolkit
8. Recurrent Neural Network Grammars
9. A Structured Self-attentive Sentence Embedding
10. AllenNLP: A Deep Semantic Natural Language Processing Platform

Their papers

• PyText: A Seamless Path from NLP research to production (2018) — 17 citations