Hideto Kazawa

6.5k total citations
20 papers, 485 citations indexed

About

Hideto Kazawa is a scholar working on Artificial Intelligence, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Hideto Kazawa has authored 20 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Information Systems. Recurrent topics in Hideto Kazawa's work include Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (5 papers). Hideto Kazawa is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (12 papers) and Advanced Text Analysis Techniques (5 papers). Hideto Kazawa collaborates with scholars based in Japan and United States. Hideto Kazawa's co-authors include Hideki Isozaki, Eisaku Maeda, Hirotoshi Taira, Hiroshi Ichikawa, Tsutomu Hirao, Franz Josef Och, Raj Dabre, David Talbot, Tetsuji Nakagawa and Toshihiro Kamishima and has published in prestigious journals such as Information Processing & Management, Systems and Computers in Japan and Empirical Methods in Natural Language Processing.

In The Last Decade

Hideto Kazawa

19 papers receiving 427 citations

Peers

Countries citing papers authored by Hideto Kazawa

Since Specialization

Citations

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

Fields of papers citing papers by Hideto Kazawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideto Kazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Hideto Kazawa. A scholar is included among the top collaborators of Hideto Kazawa 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 Hideto Kazawa. Hideto Kazawa 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

#	Work	Indexed citations
1	Extracting representative subset from extensive text data for training pre-trained language models 2023 ·Information Processing & Management ·Jun Suzuki, Heiga Zen, Hideto Kazawa	10
2	An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation 2017 ·Waseda University Repository (Waseda University) ·Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa	23
3	A Generalized Dependency Tree Language Model for SMT 2016 ·Journal of Natural Language Processing ·John T. E. Richardson, Taku Kudo, Hideto Kazawa, Sadao Kurohashi	1
4	A joint inference of deep case analysis and zero subject generation for Japanese-to-English statistical machine translation 2014 ·Taku Kudo, Hiroshi Ichikawa, Hideto Kazawa	9
5	Proceedings of the Workshop on Language Processing and Crisis Information 2013 2013 ·Kentaro Inui, Hideto Kazawa, Graham Neubig, (unknown)	4
6	A Lightweight Evaluation Framework for Machine Translation Reordering 2011 ·Workshop on Statistical Machine Translation ·David Talbot, Hideto Kazawa, Hiroshi Ichikawa, (unknown), (unknown), Franz Josef Och	23
7	Training a Parser for Machine Translation Reordering 2011 ·Empirical Methods in Natural Language Processing ·(unknown), Slav Petrov, Ryan McDonald, Franz Josef Och, David Talbot, Hiroshi Ichikawa, (unknown), Hideto Kazawa	35
8	Supervised Ordering &#8212; An Empirical Survey 2006 ·Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho	19
9	The NTT Statistical Machine Translation System for IWSLT2005 2005 ·IWSLT ·Hajime Tsukada, Taro Watanabe, Jun Suzuki, Hideto Kazawa, Hideki Isozaki	4
10	Estimating Attributed Central Orders: An Empirical Comparison. 2004 ·Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho	2
11	Maximal Margin Labeling for Multi-Topic Text Categorization 2004 ·Neural Information Processing Systems ·Hideto Kazawa, (unknown), Hirotoshi Taira, Eisaku Maeda	88
12	A deterministic word dependency analyzer enhanced with preference learning 2004 ·Hideki Isozaki, Hideto Kazawa, Tsutomu Hirao	10
13	Order SVM: a kernel method for order learning based on generalized order statistics 2004 ·Systems and Computers in Japan ·Hideto Kazawa, Tsutomu Hirao, Eisaku Maeda	10
14	An Automatic Evaluation Method of Machine-generated Extracts 2003 ·Hideto Kazawa, (unknown), (unknown), Eisaku Maeda	1
15	Machine Learning Approach to Multi-Document Summarization. 2003 ·Journal of Natural Language Processing ·Tsutomu Hirao, Hideto Kazawa, Hideki Isozaki, Eisaku Maeda, Yūji Matsumoto	2
16	Attribute dependency acquisition from formatted text 2003 ·Hideto Kazawa, (unknown), K. Matsuzawa	7
17	An elicitation principle of subject probabilities from statements on the Internet 2003 ·(unknown), K. Matsuzawa, Hideto Kazawa	4
18	A Machine Learning Approach for QA and Novelty Tracks: NTT System Description. 2002 ·Text REtrieval Conference ·Hideto Kazawa, Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda	9
19	Efficient support vector classifiers for named entity recognition 2002 ·Hideki Isozaki, Hideto Kazawa	216
20	NTT Question Answering System in TREC 2001 2001 ·Text REtrieval Conference ·Hideto Kazawa, Hideki Isozaki, Eisaku Maeda	8

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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