Nicholas Dames

Annual Meeting of the Association for Computational Linguistics · 2007–2010

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Nicholas Dames trusts overall

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

1. Nathanael Chambers
2. Jenny Rose Finkel

Who trusts Nicholas Dames overall

1. Snigdha Chaturvedi
2. David Bamman

Papers from Nicholas Dames's perspective

Ordered by how strongly the researchers Nicholas Dames trusts endorse each paper. Same corpus, a different order for every researcher.

1. Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
2. Topic and Role Discovery in Social Networks (International Joint Conference on Artificial Intelligence)
3. Unsupervised Learning of Narrative Event Chains
4. The Automatic Content Extraction (ACE) Program – Tasks, Data, and Evaluation
5. Attention is All you Need (Neural Information Processing Systems)
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Long Short-Term Memory

Their papers

• Extracting Social Networks from Literary Fiction (2010) — 380 citations
• The physiology of the novel (2007) — 200 citations