🧑‍🔬 Aron Culotta

Affiliations

• Tulane University · New Orleans, United States — current · 2020–2026 on 25 papers
• Northeastern Illinois University · Chicago, United States — 2014–2021 on 2 papers
• Illinois Institute of Technology · Chicago, United States — 2013–2020 on 35 papers
• Southeastern Louisiana University · Hammond, United States — 2010–2012 on 5 papers
• University of Massachusetts Amherst · Amherst Center, United States — 2004–2009 on 18 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

Topics

Coreference resolution1Information extraction1

Papers

The most cited first (OpenAlex and our library).

1. Dependency Tree Kernels for Relation Extraction (2004 · 998 citations)
   The paper addresses relation extraction: deciding whether two already-tagged entity mentions in one sentence are linked by a relation, and which relation it is.
2. First-Order Probabilistic Models for Coreference Resolution (2007 · 212 citations)
   Most machine-learned coreference systems judge noun phrase mentions two at a time. This means they cannot use evidence about a whole entity cluster, such as a ban on clusters made only of pronouns. Culotta, Wick and McCallum let a maximum-entropy model score entire sets of mentions. This gives a first-order…

Co-authors here

3 co-authors with a page, the most papers together first.

• Andrew McCallum
• Jeffrey Sorensen
• Michael Wick

Cited by

Papers of our library cite their works 244 times (of the 140 884 papers whose bibliographies we read); 49 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/aron-culotta/