Ezra Black

962 total citations
23 papers, 468 citations indexed

About

Ezra Black is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ezra Black has authored 23 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Ezra Black's work include Natural Language Processing Techniques (20 papers), Topic Modeling (16 papers) and Speech and dialogue systems (4 papers). Ezra Black is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (16 papers) and Speech and dialogue systems (4 papers). Ezra Black collaborates with scholars based in Japan, United States and South Korea. Ezra Black's co-authors include John Lafferty, Salim Roukos, Fred Jelinek, Robert L. Mercer, David M. Magerman, Geoffrey Leech, Roger Garside, Andrew Finch, Tomek Strzalkowski and Dan Flickinger and has published in prestigious journals such as IBM Journal of Research and Development, Journal of Visual Languages & Computing and Empirical Methods in Natural Language Processing.

In The Last Decade

Ezra Black

22 papers receiving 356 citations

Peers

Ezra Black

AI

IS

LL

MB

CVPR

Jing-Shin Chang Taiwan

Sara Stymne Sweden

Patrik Lambert Spain

Behrang Mohit United States

Fred Jelinek United States

Simona Gandrabur Canada

Eric Kow United Kingdom

Gregor Leusch Germany

Ashish Venugopal United States

Sonja Nießen Germany

Jing-Shin Chang Taiwan

Ezra Black

325 ×0.7

AI

39 ×1.0

IS

19 ×0.8

LL

41 ×2.3

MB

27 ×1.6

CVPR

Citations per year, relative to Ezra Black Ezra Black (= 1×) peers Jing-Shin Chang

Countries citing papers authored by Ezra Black

Since Specialization

Citations

This map shows the geographic impact of Ezra Black'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 Ezra Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ezra Black more than expected).

Fields of papers citing papers by Ezra Black

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ezra Black. 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 Ezra Black. The network helps show where Ezra Black may publish in the future.

Co-authorship network of co-authors of Ezra Black

This figure shows the co-authorship network connecting the top 25 collaborators of Ezra Black. A scholar is included among the top collaborators of Ezra Black 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 Ezra Black. Ezra Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Finch, Andrew, Ezra Black, Young-Sook Hwang, & Eiichiro Sumita. (2006). Using lexical dependency and ontological knowledge to improve a detailed syntactic and semantic tagger of English. 215–222. 3 indexed citations

2.

Zhang, Ruiqiang, Ezra Black, Andrew Finch, & Yoshinori Sagisaka. (2002). Integrating detailed information into a language model. 3. 1595–1598. 2 indexed citations

3.

Black, Ezra, et al.. (1999). Applying Extrasentential Context To Maximum Entropy Based Tagging With A Large Semantic And Syntactic Tagset.. Empirical Methods in Natural Language Processing. 1 indexed citations

4.

Zhang, Ruiqiang, Ezra Black, & Andrew Finch. (1999). Using detailed linguistic structure in language modelling. 1815–1818. 13 indexed citations

5.

Black, Ezra, Andrew Finch, & Hideki Kashioka. (1998). Trigger-pair predictors in parsing and tagging. 1. 131–131. 4 indexed citations

6.

Kashioka, Hideki, et al.. (1998). Use of mutual information based character clusters in dictionary-less morphological analysis of Japanese. 1. 658–658. 7 indexed citations

7.

Kashioka, Hideki, et al.. (1998). Use of mutual information based character clusters in dictionary-less morphological analysis of Japanese. 1. 658–658. 1 indexed citations

8.

Black, Ezra. (1997). Evaluation of broad-coverage natural-language parsers. Cambridge University Press eBooks. 420–422. 2 indexed citations

9.

Black, Ezra, Stephen Eubank, Hideki Kashioka, & David M. Magerman. (1997). Probabilistic Parsing of Unrestricted English Text, With a I-Iighly-Detailed Grammar. Journal of Visual Languages & Computing. 3 indexed citations

10.

Campbell, Nick, et al.. (1997). Parsers, prominence, and pauses. 979–982. 1 indexed citations

11.

Black, Ezra, et al.. (1993). Statistically-driven computer grammars of English : the IBM/LANCASTER approach. Rodopi eBooks. 47 indexed citations

12.

Black, Ezra, Fred Jelinek, John Lafferty, et al.. (1993). Towards history-based grammars. 31–37. 86 indexed citations

13.

Black, Ezra, Roger Garside, & Geoffrey Leech. (1993). Statistically-Driven Computer Grammars of English. 9 indexed citations

14.

Black, Ezra, John Lafferty, & Salim Roukos. (1992). Development and evaluation of a broad-coverage probabilistic grammar of English-language computer manuals. 185–192. 31 indexed citations

15.

Black, Ezra, Fred Jelinek, John Lafferty, Robert L. Mercer, & Salim Roukos. (1992). Decision tree models applied to the labeling of text with parts-of-speech. 117–117. 27 indexed citations

16.

Black, Ezra, Fred Jelinek, John Lafferty, et al.. (1992). Towards history-based grammars. 134–134. 59 indexed citations

17.

Harrison, P.V., Steven Abney, Ezra Black, et al.. (1991). Evaluating syntax performance of parser/grammars. 29 indexed citations

18.

Black, Ezra, Steven Abney, Dan Flickinger, et al.. (1991). A procedure for quantitatively comparing the syntactic coverage of English. 306–311. 61 indexed citations

19.

Black, Ezra. (1988). An experiment in computational discrimination of English word senses. IBM Journal of Research and Development. 32(2). 185–194. 49 indexed citations

20.

Black, Ezra. (1987). Towards computational discrimination of English word senses. UMI eBooks. 6 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.

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