This map shows the geographic impact of Stephen Tratz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Tratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tratz more than expected).
This network shows the impact of papers produced by Stephen Tratz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Tratz. The network helps show where Stephen Tratz may publish in the future.
Co-authorship network of co-authors of Stephen Tratz
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Tratz.
A scholar is included among the top collaborators of Stephen Tratz based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Stephen Tratz. Stephen Tratz is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Bonial, Claire, Stephanie M. Lukin, Stephen Tratz, et al.. (2020). Dialogue-AMR: Abstract Meaning Representation for Dialogue.. Language Resources and Evaluation. 684–695.24 indexed citations
2.
Bonial, Claire, et al.. (2018). Towards a Computational Lexicon for Moroccan Darija: Words, Idioms, and Constructions.. International Conference on Computational Linguistics. 74–85.2 indexed citations
3.
Tratz, Stephen, et al.. (2018). A Web-based System for Crowd-in-the-Loop Dependency Treebanking. Language Resources and Evaluation.4 indexed citations
4.
Tratz, Stephen, et al.. (2016). EasyTree: A Graphical Tool for Dependency Tree Annotation. Language Resources and Evaluation. 2343–2347.6 indexed citations
5.
Voss, Clare R., et al.. (2014). Finding Romanized Arabic Dialect in Code-Mixed Tweets. Language Resources and Evaluation. 2249–2253.28 indexed citations
Tratz, Stephen, et al.. (2013). Tweet Conversation Annotation Tool with a Focus on an Arabic Dialect, Moroccan Darija. 135–139.10 indexed citations
8.
Tratz, Stephen & Eduard Hovy. (2013). Automatic Interpretation of the English Possessive. Meeting of the Association for Computational Linguistics. 1. 372–381.8 indexed citations
Hovy, Dirk, Ashish Vaswani, Stephen Tratz, David Chiang, & Eduard Hovy. (2011). Models and Training for Unsupervised Preposition Sense Disambiguation. Meeting of the Association for Computational Linguistics. 323–328.7 indexed citations
12.
Tratz, Stephen & Eduard Hovy. (2010). A Taxonomy, Dataset, and Classifier for Automatic Noun Compound Interpretation. Meeting of the Association for Computational Linguistics. 678–687.68 indexed citations
13.
Hovy, Dirk, Stephen Tratz, & Eduard Hovy. (2010). What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class. International Conference on Computational Linguistics. 454–462.21 indexed citations
14.
Tratz, Stephen & Eduard Hovy. (2010). ISI: Automatic Classification of Relations Between Nominals Using a Maximum Entropy Classifier. Meeting of the Association for Computational Linguistics. 222–225.10 indexed citations
15.
Tratz, Stephen & Eduard Hovy. (2009). BEwT-E for TAC 2009's AESOP Task. Theory and applications of categories.
16.
Tratz, Stephen & Eduard Hovy. (2008). Summarization Evaluation Using Transformed Basic Elements.. Theory and applications of categories.25 indexed citations
17.
Sanfilippo, Antonio, et al.. (2007). Content analysis for proactive intelligence: marshaling frame evidence. National Conference on Artificial Intelligence. 919–924.5 indexed citations
Sanfilippo, Antonio, Stephen Tratz, Michelle Gregory, et al.. (2005). Ontological Annotation with WordNet. University of North Texas Digital Library (University of North Texas). 27–36.4 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.