Xiaofei Lu
Language and Linguistics · 2008–2015
A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 57 researchers here, as inferred from the citation graph.
Subfields
- Language and Linguistics — 24 citations into it; #208 of 3,093 by trust here, #1,312 by citations
- Developmental and Educational Psychology — 22 citations into it; #113 of 8,223 by trust here, #1,112 by citations
- Literature and Literary Theory — 21 citations into it
- Artificial Intelligence — 16 citations into it; #2,403 of 35,345 by trust here, #10,065 by citations
- Natural Language Processing — 6 citations into it; #1,065 of 5,688 by trust here, #4,112 by citations
- Linguistics — 5 citations into it; #23 of 123 by trust here, #53 by citations
Whom Xiaofei Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael Collins
- Brian MacWhinney
- L. Ortega
- J. Read
- J. Hawkins
- Daniel Klein
- Roger Levy
- Mark Lipsey
- Mitchell P. Marcus
- A. Graesser
Who trusts Xiaofei Lu overall
- Scott Andrew Crossley
- K. Kyle
- Susana M. Sotillo
- Ondrej Dusek
- Jekaterina Novikova
- Laura Perez-Beltrachini
- N. Vyatkina
- Claire Gardent
- Verena Rieser
- Emanuele Bastianelli
Papers from Xiaofei Lu's perspective
Ordered by how strongly the researchers Xiaofei Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Efficient Estimation of Word Representations in Vector Space
Their papers
- The Relationship of Lexical Richness to the Quality of ESL Learners' Oral Narratives. (2012) — 606 citations
- Syntactic complexity in college-level English writing: Differences among writers with diverse L1 backgrounds (2015) — 332 citations
- Different topics, different discourse: Relationships among writing topic, measures of syntactic complexity, and judgments of writing quality (2015) — 312 citations
- A Corpus-Based Evaluation of Syntactic Complexity Measures as Indices of College-Level ESL Writers' Language Development (2011) — 726 citations
- Automatic analysis of syntactic complexity in second language writing (2010) — 1,053 citations
- Automatic measurement of syntactic complexity in child language acquisition (2009) — 122 citations
- Automatic Measurement of Syntactic Complexity Using the Revised Developmental Level Scale (2008) — 8 citations