Teruko Mitamura

3.5k citations
126 papers · 1.8k · h-index 23

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Semantic Web and Ontologies
    • Speech and dialogue systems
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization

Papers in

Teruko Mitamura

118 papers receiving 1.6k citations

Peers

Teruko Mitamura
Comparison fields: 5 of 84
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 423
  • Information Systems 294
  • Language and Linguistics 69
  • Management Science and Operations Research 69
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Citations per field
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Citations per year

Countries citing papers authored by Teruko Mitamura

Since Specialization
Citations

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

Fields of papers citing papers by Teruko Mitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teruko Mitamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teruko Mitamura Line = papers co-authored together Teruko Mitamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA
2007240
2 2014199
3 199251
4
Overview of NTCIR-9 RITE : Recognizing Inference in TExt
201150
5 200949
6 201446
7
Arabic morphology generation using a concatenative strategy
200042
8
Supervised Within-Document Event Coreference using Information Propagation
201442
9
Events are Not Simple: Identity, Non-Identity, and Quasi-Identity
201341
10 201538
11 201537
12
Controlled Language for Multilingual Document Production: Experience with Caterpillar Technical English 1
199837
13 201537
14
Controlled Language for Multilingual Machine Translation
199935
15 200635
16
Generating Questions and Multiple-Choice Answers using Semantic Analysis of Texts.
201632
17 201531
18 202230
19
Detecting Subevent Structure for Event Coreference Resolution
201429
20
Overview of the Recognizing Inference in Text (RITE-2) at NTCIR-10
201326

About Teruko Mitamura

Teruko Mitamura is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Language and Linguistics and Molecular Biology, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (97 papers), Topic Modeling (77 papers), Semantic Web and Ontologies (21 papers), Speech and dialogue systems (15 papers), Advanced Text Analysis Techniques (14 papers), Text Readability and Simplification (13 papers), Multimodal Machine Learning Applications (10 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (423 citations), Information Systems (294 citations), Language and Linguistics (69 citations) and Management Science and Operations Research (69 citations). Teruko Mitamura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Eric Nyberg, Mengqiu Wang, Alexander G. Hauptmann, Noah A. Smith, Lu Jiang, Deyu Meng, Jun Araki, Eduard Hovy, Zhengzhong Liu and Shoou-I Yu. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Machine Translation, ACM Transactions on Information Systems and Natural Language Engineering.

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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