Kentaro Torisawa
- Artificial Intelligence top 0.5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Communication top 5%
- Molecular Biology
- Co-authors
- Jun’ichi KazamaJong–Hoon OhChikara HashimotoStijn De SaegerJulien KloetzerJun’ichi TsujiiKiyotaka UchimotoCanasai Kruengkrai
- Topics
- Topic Modeling (82 papers)Natural Language Processing Techniques (77 papers)Advanced Text Analysis Techniques (21 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingLanguage Resources and EvaluationCognitive Computation
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Kentaro Torisawa
99 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 1.6k
- Information Systems 269
- Computer Vision and Pattern Recognition 190
- Communication 147
- Molecular Biology 143
Countries citing papers authored by Kentaro Torisawa
This map shows the geographic impact of Kentaro Torisawa'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 Kentaro Torisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kentaro Torisawa more than expected).
Fields of papers citing papers by Kentaro Torisawa
This network shows the impact of papers produced by Kentaro Torisawa. 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 Kentaro Torisawa. The network helps show where Kentaro Torisawa may publish in the future.
Co-authorship network of co-authors of Kentaro Torisawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kentaro Torisawa. A scholar is included among the top collaborators of Kentaro Torisawa 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 Kentaro Torisawa. Kentaro Torisawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Annotating Zero Anaphora for Question Answering | 2 |
| 2 | WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data. | 17 |
| 3 | Million-scale Derivation of Semantic Relations from a Manually Constructed Predicate Taxonomy | 4 |
| 4 | NICT Disaster Information Analysis System | 6 |
| 5 | WISDOM2013: A Large-scale Web Information Analysis System | 5 |
| 6 | Aid is Out There: Looking for Help from Tweets during a Large Scale Disaster | 63 |
| 7 | Excitatory or Inhibitory: A New Semantic Orientation Extracts Contradiction and Causality from the Web | 42 |
| 8 | Chinese Evaluative Information Analysis | 1 |
| 9 | 1 | |
| 10 | Similarity Based Language Model Construction for Voice Activated Open-Domain Question Answering | 5 |
| 11 | Extending WordNet with Hypernyms and Siblings Acquired from Wikipedia | 7 |
| 12 | Extracting Paraphrases from Definition Sentences on the Web | 24 |
| 13 | Relation Acquisition using Word Classes and Partial Patterns | 11 |
| 14 | Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data | 55 |
| 15 | Improving Graph-based Dependency Parsing with Decision History | 3 |
| 16 | Bitext Dependency Parsing with Bilingual Subtree Constraints | 14 |
| 17 | Using Various Features in Machine Learning to Obtain High Levels of Performance for Recognition of Japanese Notational Variants | 1 |
| 18 | A Bayesian Method for Robust Estimation of Distributional Similarities | 21 |
| 19 | 2 | |
| 20 | Sophisticated Text Mining System for Extracting and Visualizing Numerical and Named Entity Information from a Large Number of Documents | 3 |
About Kentaro Torisawa
Kentaro Torisawa is a scholar working on Artificial Intelligence, Communication and Computer Vision and Pattern Recognition, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (82 papers), Natural Language Processing Techniques (77 papers) and Advanced Text Analysis Techniques (21 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Communication (147 citations) and Information Systems (269 citations). Kentaro Torisawa has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Jun’ichi Kazama, Jong–Hoon Oh, Chikara Hashimoto, Stijn De Saeger, Julien Kloetzer, Jun’ichi Tsujii, Kiyotaka Uchimoto, Canasai Kruengkrai, Wenliang Chen and Yiou Wang. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Language Resources and Evaluation and Cognitive Computation.
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.