Donna K. Harman
Information Retrieval & Search · 1997–2019
A researcher in the Science corpus: 8 papers; trusts 41 researchers and is trusted by 41 researchers here, as inferred from the citation graph.
Subfields
- Information Retrieval & Search — 39 citations into it; #949 of 1,022 by trust here, #793 by citations
- Artificial Intelligence — 37 citations into it; #8,699 of 35,345 by trust here, #17,110 by citations
- Information Systems — 31 citations into it; #8,274 of 8,771 by trust here, #7,705 by citations
- Evaluation & Benchmarks — 28 citations into it; #707 of 3,147 by trust here, #1,706 by citations
- Management Science and Operations Research — 10 citations into it; #11,484 of 11,946 by trust here, #10,893 by citations
- Natural Language Processing — 10 citations into it; #2,527 of 5,688 by trust here, #4,250 by citations
Whom Donna K. Harman trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ellen M. Voorhees
- Justin Zobel
- Gordon V. Cormack
- Mark Sanderson
- Gerard A. Salton
- Emine Yilmaz
- Diane Kelly
- Kalervo Järvelin
- J. Aslam
- Stephen E. Robertson
Who trusts Donna K. Harman overall
- Ani Nenkova
- Mahnaz Koupaee
- Jimmy J. Lin
- Hoa Trang Dang
- Zeynep Akkalyoncu Yilmaz
- William Yang Wang
- Kalervo Järvelin
- Mehmet Altinel
- Amit Singhal
- Rodrigo Nogueira
Papers from Donna K. Harman's perspective
Ordered by how strongly the researchers Donna K. Harman trusts endorse each paper. Same corpus, a different order for every researcher.
- Retrieval evaluation with incomplete information
- Cumulated gain-based evaluation of IR techniques
- Variations in relevance judgments and the measurement of retrieval effectiveness
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- IR evaluation methods for retrieving highly relevant documents
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- DUC in context (2007) — 205 citations
- Information Retrieval: The Early Years (2019) — 45 citations
- TREC 2018 News Track Overview (2018) — 63 citations
- TREC 2017 Common Core Track Overview (2017) — 79 citations
- Information Retrieval Evaluation (2011) — 78 citations
- The Effects of Human Variation in DUC Summarization Evaluation (2004) — 80 citations
- Overview of the seventh text retrieval conference (trec-7) [on-line] (1999)
- Overview of the Sixth Text REtrieval Conference (TREC-6) (1997)