Chinatsu Aone

2.2k total citations · 2 hit papers
28 papers, 1.4k citations indexed

About

Chinatsu Aone is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Chinatsu Aone has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Chinatsu Aone's work include Natural Language Processing Techniques (21 papers), Topic Modeling (16 papers) and Speech and dialogue systems (8 papers). Chinatsu Aone is often cited by papers focused on Natural Language Processing Techniques (21 papers), Topic Modeling (16 papers) and Speech and dialogue systems (8 papers). Chinatsu Aone collaborates with scholars based in United States. Chinatsu Aone's co-authors include Dmitry Zelenko, Anthony Richardella, Scott Bennett, Mary Ellen Okurowski, Douglas McKee, Kent Wittenburg, James A. Barnett, Inderjeet Mani, Kevin Knight and Paul Krause and has published in prestigious journals such as Journal of General Internal Medicine, Empirical Methods in Natural Language Processing and MIT Press eBooks.

In The Last Decade

Chinatsu Aone

25 papers receiving 1.3k citations

Hit Papers

Fast and effective text mining using linear-time document... 1999 2026 2008 2017 1999 2002 100 200 300 400 500

Peers

Chinatsu Aone
Seán Slattery United States
Deepak Ravichandran United States
Kristie Seymore United States
Justin Betteridge United States
Shankar Kumar United States
Clare R. Voss United States
Doug Cutting United States
Seán Slattery United States
Chinatsu Aone
Citations per year, relative to Chinatsu Aone Chinatsu Aone (= 1×) peers Seán Slattery

Countries citing papers authored by Chinatsu Aone

Since Specialization
Citations

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

Fields of papers citing papers by Chinatsu Aone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chinatsu Aone

This figure shows the co-authorship network connecting the top 25 collaborators of Chinatsu Aone. A scholar is included among the top collaborators of Chinatsu Aone 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 Chinatsu Aone. Chinatsu Aone 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.
Zelenko, Dmitry, et al.. (2004). Coreference Resolution for Information Extraction. 24–31. 11 indexed citations
2.
Aone, Chinatsu, et al.. (2000). Assentor®: An NLP-Based Solution to E-mail Monitoring. National Conference on Artificial Intelligence. 945–950. 5 indexed citations
3.
Aone, Chinatsu, et al.. (2000). REES. 76–83. 71 indexed citations
4.
Aone, Chinatsu, et al.. (1999). Fast and effective text mining using linear-time document clustering. 16–22. 558 indexed citations breakdown →
5.
Aone, Chinatsu, et al.. (1998). SRA: Description of the IE2 System Used for MUC-7. Journal of General Internal Medicine. 29(3). 463–7. 34 indexed citations
6.
Aone, Chinatsu, et al.. (1998). Trainable, scalable summarization using robust NLP and machine learning. 1. 62–62. 13 indexed citations
7.
Bennett, Scott & Chinatsu Aone. (1997). Learning to Tag Multilingual Texts Through Observation. Empirical Methods in Natural Language Processing. 34 indexed citations
8.
Aone, Chinatsu & John Maloney. (1997). Reuse of a Proper Noun Recognition System in Commercial and Operational NLP Applications. 1 indexed citations
9.
10.
Aone, Chinatsu. (1996). NameTag#8482; Japanese and Spanish systems as used for MET. 463–463. 2 indexed citations
11.
Aone, Chinatsu, et al.. (1996). Unsupervised learning of a rule-based Spanish Part of Speech tagger. 1. 53–53. 5 indexed citations
12.
Aone, Chinatsu & Scott Bennett. (1995). Evaluating automated and manual acquisition of anaphora resolution strategies. 122–129. 110 indexed citations
13.
Aone, Chinatsu, et al.. (1994). A Hybrid Approach to Multilingual Text Processing: Information Extraction and Machine Translation.. Conference of the Association for Machine Translation in the Americas. 5 indexed citations
14.
Aone, Chinatsu. (1994). Customizing and evaluating a multilingual discourse module. 2. 1109–1109. 2 indexed citations
15.
Aone, Chinatsu & Douglas McKee. (1993). Acquiring Predicate-Argument Mapping Information from Multilingual Texts. MIT Press eBooks. 191–202. 6 indexed citations
16.
Aone, Chinatsu, et al.. (1993). The Murasaki project. 144–144. 6 indexed citations
17.
Aone, Chinatsu & Douglas McKee. (1993). A language-independent anaphora resolution system for understanding multilingual texts. The COCOON platform (University of Paris). 156–163. 17 indexed citations
18.
Aone, Chinatsu. (1992). Treatment of plurals and collective-distributive ambiguity in natural language understanding.
19.
Aone, Chinatsu. (1991). Resolution of collective-distributive ambiguity using model-based reasoning. 1–8. 1 indexed citations
20.
Aone, Chinatsu & Kent Wittenburg. (1990). Zero morphemes in unification-based combinatory categorial grammar. 188–193. 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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