Siddharth Patwardhan
Natural Language Processing · 2003–2016
A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 74 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 55 citations into it; #5,501 of 5,688 by trust here, #4,250 by citations
- Artificial Intelligence — 52 citations into it; #3,388 of 35,345 by trust here, #4,682 by citations
- Representation & Self-Supervised Learning — 16 citations into it
- Computational Linguistics & Semantics — 8 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Information Retrieval & Search — 7 citations into it
- Molecular Biology — 6 citations into it
Whom Siddharth Patwardhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dekang Lin
- Philip Resnik
- Satanjeev Banerjee
- Hinrich Schütze
- Alexander Budanitsky
- George A. Miller
- T. Landauer
- Ted Pedersen
- Mitchell P. Marcus
- Graeme Hirst
Who trusts Siddharth Patwardhan overall
- Rada Mihalcea
- Ted Pedersen
- Michael Mohler
- Courtney Corley
- Sean R. Szumlanski
- Roberto Navigli
- Peter D. Turney
- Iryna Gurevych
- Ignacio Iacobacci
- Jeff Mitchell
Papers from Siddharth Patwardhan's perspective
Ordered by how strongly the researchers Siddharth Patwardhan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- WordNet::Similarity - Measuring the Relatedness of Concepts (2004) — 1,854 citations
- Question analysis: How Watson reads a clue (2012) — 170 citations
- Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns (2005) — 416 citations
- OpinionFinder: A System for Subjectivity Analysis (2005) — 605 citations
- The Role of Context Types and Dimensionality in Learning Word Embeddings (2016) — 126 citations
- Measures of semantic similarity and relatedness in the biomedical domain (2007) — 615 citations
- Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts (2006) — 444 citations
- Using Measures of Semantic Relatedness for Word Sense Disambiguation (2003) — 581 citations