Leah S. Larkey

Artificial Intelligence · 1996–2004

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #19,637 of 35,345 by trust here, #17,776 by citations

Whom Leah S. Larkey trusts overall

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

1. Robert Krovetz

Who trusts Leah S. Larkey overall

1. Charu C. Aggarwal
2. Andrew McCallum
3. Michael J. Pazzani
4. Kamal Nigam
5. Nizar Habash
6. Chengxiang Zhai
7. Korde
8. Muhammad A. Razi
9. François Rousseau
10. David Aronow

Papers from Leah S. Larkey's perspective

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

1. An algorithm for suffix stripping
2. Viewing morphology as an inference process
3. Relevance feedback in information retrieval
4. Passage retrieval revisited
5. A re-examination of text categorization methods
6. Foundations of Statistical Natural Language Processing
7. Time-based language models (International Conference on Information and Knowledge Management)
8. A study of smoothing methods for language models applied to information retrieval
9. Passage-level evidence in document retrieval
10. Pattern classification and scene analysis

Their papers

• UMass at TREC 2004: Novelty and HARD (2004) — 359 citations
• Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis (2002) — 462 citations
• Combining classifiers in text categorization (1996)