Papers - Kazuhiro Seki
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Refining Sentiment Predictions: Obtaining an Unbiased Business Sentiment Index from Japanese Newspapers Reviewed
Kazuhiro Seki
International Journal of Asian Language Processing 33 ( 2 ) 2350015 2023.12
Authorship：Lead author, Last author, Corresponding author
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Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case Study Reviewed
Kazuhiro Seki, Masahiko Shibamoto, and Takashi Kamihigashi
Proceedings of the 5th Financial Narrative Processing Workshop 2861 - 2865 2023.12
Authorship：Lead author, Corresponding author
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Turning News Texts into Business Sentiment Reviewed
Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022) 311 - 315 2022.4
Authorship：Lead author, Last author, Corresponding author
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News-based business sentiment and its properties as an economic index Reviewed
Kazuhiro Seki, Yusuke Ikuta, Yoichi Matsubayashi
INFORMATION PROCESSING & MANAGEMENT 59 ( 2 ) 2022.3
Authorship：Lead author, Corresponding author Publisher：ELSEVIER SCI LTD
This paper presents an approach to measuring business sentiment based on textual data. Business sentiment has been measured by traditional surveys, which are costly and time-consuming to conduct. To address the issues, we take advantage of daily newspaper articles and adopt a self-attention-based model to define a business sentiment index, named S-APIR, where outlier detection models are investigated to properly handle various genres of news articles. Moreover, we propose a simple approach to temporally analyzing how much any given event contributed to the predicted business sentiment index. To demonstrate the validity of the proposed approach, an extensive analysis is carried out on 12 years' worth of newspaper articles. The analysis shows that the S-APIR index is strongly and positively correlated with established survey-based index (up to correlation coefficient r = 0.937) and that the outlier detection is effective especially for a general newspaper. Also, S-APIR is compared with a variety of economic indices, revealing the properties of S-APIR that it reflects the trend of the macroeconomy as well as the economic outlook and sentiment of economic agents. Moreover, to illustrate how S-APIR could benefit economists and policymakers, several events are analyzed with respect to their impacts on business sentiment over time.
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Cross-lingual text similarity exploiting neural machine translation models Reviewed
Kazuhiro Seki
Journal of Information Science 47 ( 3 ) 404 - 418 2021.6
Single Work
Authorship：Lead author, Last author, Corresponding author
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Nowcasting Business Sentiment from Economic News Articles Reviewed
62 ( 5 ) 1288 - 1297 2021.5
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S-APIR: News-Based Business Sentiment Index Reviewed
Kazuhiro Seki, Yusuke Ikuta
Proceedings of the 24th European Conference on Advances in Databases and Information Systems 2020.8
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ニュース記事に基づく景気指標S-APIRの開発
関和広, 生田祐介, 松林洋一
第24回人工知能学会金融情報学研究会 2020.3
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Effectiveness and Efficiency for Document Clustering in Biomedicine Reviewed International coauthorship
Kazuhiro Seki, Michael Ortiz, Javed Mostafa
Proceedings of the 10th International Workshop on Biomedical and Health Informatics 1620 - 1623 2019.11
Joint Work
Authorship：Lead author, Corresponding author
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Dynamic Cluster-based Retrieval and Discovery for Biomedical Literature Reviewed International coauthorship
Michael Ortiz, Heejun Kim, Mika Wang, Kazuhiro Seki, Javed Mostafa
Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) 2019.9
Joint Work
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Estimating Business Sentiment from News Texts Reviewed
Kazuhiro Seki, Yusuke Ikuta
Proceedings of the 2nd IEEE Artificial Intelligence and Knowledge Engineering 2019.6
Joint Work
Authorship：Lead author, Corresponding author
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On Cross-Lingual Text Similarity Using Neural Translation Models Reviewed
Kazuhiro Seki
Journal of Information Processing 27 315 - 321 2019
Single Work
Authorship：Lead author, Last author, Corresponding author
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Exploring Neural Translation Models for Cross-Lingual Text Similarity Reviewed
Kazuhiro Seki
Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM) 1591 - 1594 2018.10
Single Work
Authorship：Lead author, Last author, Corresponding author
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Construction and Application of Sentiment Lexicons in Finance Invited Reviewed
Kazuhiro Seki, Masahiko Shibamoto
International Journal of Multimedia Data Engineering and Management 9 ( 1 ) 22 - 35 2018.1
Joint Work
Authorship：Lead author, Corresponding author
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Constructing Financial Sentiment Lexicons by Integrating Textual and Time-Series Data Reviewed
Kazuhiro Seki and Masahiko Shibamoto
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration 2017.8
Joint Work
Authorship：Lead author
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Financial Sentiment Orientation of Word Combinations Reviewed
Kazuhiro Seki
Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management 2016.11
Single Work
Authorship：Lead author
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Leveraging Temporal Properties of News Events for Stock Market Prediction Reviewed
Akira Yoshihara, Kazuhiro Seki, and Kuniaki Uehara
Artificial Intelligence Research 2016.1
Joint Work
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医療用語資源の語彙拡張と診療情報抽出への応用 Reviewed
東山翔平，関和広，上原邦昭
自然言語処理 22 ( 2 ) 77 - 106 2015.6
Joint Work
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Cost-Sensitive Structured Perceptron Incorporating Category Hierarchy for Named Entity Recognition Invited Reviewed
Shohei Higashiyama, Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
Journal of Information and Communication Technology 2015.5
Joint Work
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Detecting Vital Documents Using Negative Relevance Feedback in Distributed Realtime Computation Framework Reviewed
Shun Kawahara, Kazuhiro Seki, and Kuniaki Uehara
Proceedings of the 2015 Conference of the Pacific Association for Computational Linguistics (PACLING 2015) 2015.5
Joint Work
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Hypothesis Discovery Exploiting Closed Chains of Relations Reviewed
Kazuhiro Seki
Transactions on Large-Scale Data- and Knowledge-Centered Systems 2015
Single Work
Authorship：Lead author
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Detecting Vital Documents in Massive Data Streams Reviewed
Shun Kawahara, Kazuhiro Seki, and Kuniaki Uehara
Open Journal of Web Technologies 2015
Joint Work
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Hypothesis Discovery Exploiting Closed Chains of Relations.
Kazuhiro Seki
Trans. Large-Scale Data- and Knowledge-Centered Systems 22 145 - 164 2015
Single Work
Publisher：Springer
Other Link： http://dblp.uni-trier.de/db/journals/tlsdkcs/tlsdkcs22.html#journals/tlsdkcs/Seki15
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Predicting the Trend of the Stock Market by Recurrent Deep Neural Networks Reviewed
Akira Yoshihara, Kazuki Fujikawa, Kazuhiro Seki, and Kuniaki Uehara
Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2014) 2014.12
Joint Work
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A Cost-Sensitive Approach to Named Entity Recognition with Category Hierarchy Reviewed
Shohei Higashiyama, Blondel Mathieu, Kazuhiro Seki, and Kuniaki Uehara
International Conference on Computer and Information Sciences 2014.6
Joint Work
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Time-Aware Latent Concept Expansion for Microblog Search Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014) 2014.6
Joint Work
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マイクロブログ文書の選択による適合フィードバックを用いた疑似適合フィードバックの検索性能改善 Reviewed
宮西大樹，関和広，上原邦昭
情報処理学会論文誌 2014.5
Joint Work
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三段論法的パターンに着目した解釈容易な仮説の生成規則獲得と順位付け Reviewed
関和広，上原邦昭
情報処理学会論文誌 2014.4
Joint Work
Authorship：Lead author
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Predicting Stock Market Trends by Recurrent Deep Neural Networks.
Akira Yoshihara,Kazuki Fujikawa,Kazuhiro Seki,Kuniaki Uehara
PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings 759 - 769 2014
Joint Work
Publisher：Springer
Other Link： http://dblp.uni-trier.de/db/conf/pricai/pricai2014.html#conf/pricai/YoshiharaFSU14
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Interactive Disaster Information Search System for Microblog by Minimal User Feedback Reviewed
Sayaka Kitaguchi, Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
9th Asia Information Retrieval Societies Conference (AIRS 2013) 2013.12
Joint Work
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Parallel Distributed Trajectory Pattern Mining Using Hierarchical Grid with MapReduce Invited Reviewed
Kazuhiro Seki, Ryota Jinno, and Kuniaki Uehara
International Journal of Grid and High Performance Computing 2013.12
Joint Work
Authorship：Lead author
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Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries Reviewed
Shohei Higashiyama, Kazuhiro Seki, and Kuniaki Uehara
First Workshop on Natural Language Processing for Medical and Healthcare Fields 2013.11
Joint Work
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A Shape-based Similarity Measure for Time Series Data with Collaborative Ensemble Learning Reviewed
Tetsuya Nakamura, Keishi Taki, Hiroki Nomiya, Kazuhiro Seki, and Kuniaki Uehara
Pattern Analysis and Applications 2013.11
Joint Work
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Improving Pseudo-Relevance Feedback via Tweet Selection Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
22nd ACM International Conference on Information and Knowledge Management (CIKM 2013) 2013.11
Joint Work
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Agglomerative Co-Clustering for Synonymous Phrases Based on Common Effects and Influences Reviewed
Koji Kumanami, Kazuhiro Seki, and Kuniaki Uehara
IEEE Big Data 2013 Workshop on Scalable Machine Learning 2013.10
Joint Work
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Block Coordinate Descent Algorithms for Large-scale Sparse Multiclass Classification Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
Machine Learning 2013.10
Joint Work
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Supervised Hypothesis Discovery Using Syllogistic Patterns in the Biomedical Literature Reviewed
Kazuhiro Seki, and Kuniaki Uehara
23rd International Joint Conference on Artificial Intelligence (IJCAI 2013) 2013.8
Joint Work
Authorship：Lead author
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NegFinder: A Web Service for Identifying Negation Signals and Their Scopes Reviewed
Kazuki Fujikawa, Kazuhiro Seki, and Kuniaki Uehara
IPSJ Transactions on Bioinformatics 2013.7
Joint Work
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マイクロブログ検索のための時間情報と非時間情報を統合したクエリ拡張 Reviewed
宮西大樹，関和広，上原邦昭
情報処理学会論文誌 2013.4
Joint Work
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Learning Non-Linear Classifiers with a Sparsity Constraint using L1 Regularization Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
28th Annual ACM Symposium On Applied Computing (SAC 2013) 2013.3
Joint Work
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Combining Recency and Topic-Dependent Temporal Variation for Microblog Search Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
35th Annual European Conference on Information Retrieval (ECIR 2013) 2013.3
Joint Work
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カテゴリ階層を考慮した構造化パーセプトロンによる固有表現抽出 Reviewed
東山翔平，ブロンデルマチュー，関和広，上原邦昭
情報処理学会論文誌：数理モデル化と応用 2013
Joint Work
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Block coordinate descent algorithms for large-scale sparse multiclass classification.
Mathieu Blondel,Kazuhiro Seki,Kuniaki Uehara
Machine Learning 93 ( 1 ) 31 - 52 2013
Joint Work
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A shape-based similarity measure for time series data with ensemble learning.
Tetsuya Nakamura,Keishi Taki,Hiroki Nomiya,Kazuhiro Seki,Kuniaki Uehara
Pattern Anal. Appl. 16 ( 4 ) 535 - 548 2013
Joint Work
Other Link： http://dblp.uni-trier.de/db/journals/paa/paa16.html#journals/paa/NakamuraTNSU13
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Parallel Distributed Trajectory Pattern Mining Using MapReduce Reviewed
Ryota Jinno, Kazuhiro Seki, and Kuniaki Uehara
4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2012) 2012.12
Joint Work
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Generating Interpretable Hypotheses Based on Syllogistic Patterns Reviewed
Takuya Hagimura, Kazuhiro Seki, and Kuniaki Uehara
AAAI-2012 Fall Symposium on Information Retrieval and Knowledge Discovery in Biomedical Text 2012.11
Joint Work
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A Hybrid Approach to Finding Negated and Uncertain Expressions in Biomedical Documents Reviewed
Kazuki Fujikawa, Kazuhiro Seki, and Kuniaki Uehara
2nd International Workshop on Managing Interoperability and compleXity in Health Systems 2012.10
Joint Work
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リンク予測を基にした時系列ネットワーク中でのオブジェクトランキング Reviewed
宮西大樹，関和広，上原邦昭
人工知能学会論文誌 2012.3
Joint Work
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Object ranking in evolutional networks via link prediction
Taiki Miyanishi, Kazuhiro Seki, Kuniaki Uehara
Transactions of the Japanese Society for Artificial Intelligence 27 ( 3 ) 223 - 234 2012
Joint Work
Publisher：Japanese Society for Artificial Intelligence
This paper proposes a framework to predict future significance or importance of nodes of a network through link prediction. The network can be of any kind, such as a co-authorship network where nodes are authors and coauthors are linked by edges. In this example, predicting significant nodes means to discover influential authors in the future. There are existing approaches to predicting such significant nodes in a future network and they typically rely on existing relationships between nodes. However, since such relationships are dynamic and would naturally change over time (e.g., new co-authorship continues to emerge), approaches based only on the current status of the network would have limited potentiality to predict the future. In contrast, our proposed approach first predicts future links between nodes by multiple supervised classifiers and applies the RankBoost algorithm for combining the predictions such that the links would lead to more precise predictions of a centrality (significance) measure of our choice. To demonstrate the effectiveness of our proposed approach, a series of experiments are carried out on the arXiv (HEP-Th) citation data set.
DOI： 10.1527/tjsai.27.223
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階層グリッドを用いた四分木探索による移動軌跡データからの並列分散型頻出パターン検出 Reviewed
神野良太，熊南昂司，福井聡，関和広，上原邦昭
人工知能学会論文誌 2012
Joint Work
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L1正則化によるスパース性の制約を用いた非線形分類器の学習 Reviewed
ブロンデルマチュー，関和広，上原邦昭
人工知能学会論文誌 2012
Joint Work
Authorship：Lead author
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文献情報を用いたカーネル法による遺伝子機能アノテーション Reviewed
ブロンデルマチュー，関和広，上原邦昭
情報処理学会論文誌：数理モデル化と応用 2011.11
Joint Work
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Application of Semantic Kernels to Literature-Based Gene Function Annotation Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
14th International Conference on Discovery Science (DS 2011) 2011.10
Joint Work
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Tackling Class Imbalance and Data Scarcity in Literature-Based Gene Function Annotation Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
31th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR 2011) 2011.7
Joint Work
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Hypothesis Ranking Based on Semantic Event Similarities Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
IPSJ Transactions on Bioinformatics 2011.5
Joint Work
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Opinionated Document Retrieval Using Subjective Triggers Reviewed
Kazuhiro Seki and Kuniaki Uehara
Journal of the American Society for Information Science and Technology 2011.5
Joint Work
Authorship：Lead author
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Unsupervised Learning of Stroke Tagger for Online Kanji Handwriting Recognition Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
20th International Conference on Pattern Recognition (ICPR 2010) 2010.8
Joint Work
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Impact and Prospect of Social Bookmarks for Bibliographic Information Retrieval Reviewed
Kazuhiro Seki, Huawei Qin, and Kuniaki Uehara
10th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2010) 2010.6
Joint Work
Authorship：Lead author
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Hypothesis Generation and Ranking Based on Event Similarities Reviewed
Taiki Miyanishi, Kazuhiro Seki, and Kuniaki Uehara
25th Annual ACM Symposium On Applied Computing (SAC 2010) 2010.3
Joint Work
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リンク構造とコンテンツを複合的に用いた極少訓練事例によるスプログ検出 Reviewed
吉川幹人，佐藤翔平，関和広，上原邦昭
情報処理学会論文誌：データベース 2010.3
Joint Work
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Finding explicit and implicit knowledge: Biomedical text data mining
Kazuhiro Seki, Javed Mostafa, Kuniaki Uehara
Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies 370 - 386 2010
Joint Work
Publisher：IGI Global
This chapter discusses two different types of text data mining focusing on the biomedical literature. One deals with explicit information or facts written in articles, and the other targets implicit information or hypotheses inferred from explicit information. A major difference between the two is that the former is bound to the contents within the literature, whereas the latter goes beyond existing knowledge and generates potential scientific hypotheses. As concrete examples applied to real-world problems, this chapter looks at two applications of text data mining: gene functional annotation and genetic association discovery, both considered to have significant practical importance. © 2010, IGI Global.
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主観的トリガー言語モデルによる意見情報検索 Reviewed
関和広，上原邦昭
情報処理学会論文誌：数理モデル化と応用 2009.12
Joint Work
Authorship：Lead author
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Gene Functional Annotation with Dynamic Hierarchical Classification Guided by Orthologs Reviewed
Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara
12th International Conference on Discovery Science (DS 2009) 2009.10
Joint Work
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Gene Ontology Annotation as Text Categorization: An Empirical Study Reviewed
Kazuhiro Seki and Javed Mostafa
Information Processing & Management 2009.9
Joint Work
Authorship：Lead author
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Discovering Implicit Associations among Critical Biological Entities Reviewed
Kazuhiro Seki and Javed Mostafa
International Journal of Data Mining and Bioinformatics 2009.5
Joint Work
Authorship：Lead author
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Adaptive Subjective Triggers for Opinionated Document Retrieval Reviewed
Kazuhiro Seki, and Kuniaki Uehara
Second ACM International Conference on Web Search and Data Mining (WSDM 2009) 2009.2
Joint Work
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英語音韻を考慮した情報検索のための多様なカタカナ異表記生成 Reviewed
服部弘幸，関和広，上原邦昭
情報処理学会論文誌：数理モデル化と応用 2009.2
Joint Work
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Generating Diverse Katakana Variants Based on Phonemic Mapping Reviewed
Kazuhiro Seki, Hiroyuki Hattori, and Kuniaki Uehara
28th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR 2008) 2008.7
Joint Work
Authorship：Lead author
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多様な遺伝子名認識と文書分類を用いたGene Ontologyアノテーション Reviewed
関和広, モスタファジャビド
電子情報通信学会論文誌 2008.4
Joint Work
Authorship：Lead author
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Literature-Based Discovery by an Enhanced Information Retrieval Model Reviewed
Kazuhiro Seki and Javed Mostafa
10th International Conference on Discovery Science (DS 2007) 2007.10
Joint Work
Authorship：Lead author
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Discovering Implicit Associations between Genes and Hereditary Diseases Reviewed
Kazuhiro Seki and Javed Mostafa
Pacific Symposium on Biocomputing (PSB) 2007.1
Joint Work
Authorship：Lead author
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Text Mining in Biomedicine: Discovering Implicit Associations between Genes and Disease
Kazuhiro Seki
2006.9
Single Work
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An Application of Text Categorization Methods to Gene Ontology Annotation Reviewed
Kazuhiro Seki and Javed Mostafa
28th annual international ACM SIGIR conference on research and development in information retrieval (SIGIR 2005) 2005.8
Joint Work
Authorship：Lead author
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A Hybrid Approach to Protein Name Identification in Biomedical Texts Reviewed
Kazuhiro Seki and Javed Mostafa
Information Processing & Management 2005.7
Joint Work
Authorship：Lead author
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An Approach to Protein Name Extraction using Heuristics and a Dictionary Reviewed
Kazuhiro Seki and Javed Mostafa
66th American Society for Information Science and Technology Annual Conference (ASIST 2003) 2003.10
Joint Work
Authorship：Lead author
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A Probabilistic Model for Identifying Protein Names and their Name Boundaries Reviewed
Kazuhiro Seki and Javed Mostafa
2nd IEEE-CS Bioinformatics Conference (CSB 2003) 2003.8
Joint Work
Authorship：Lead author
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Protein Association Discovery in Biomedical Literature Reviewed
Kazuhiro Seki and Javed Mostafa
3rd ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2003) 2003.5
Joint Work
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A Probabilistic Method for Analyzing Japanese Anaphora Integrating Zero Pronoun Detection and Resolution Reviewed
Kazuhiro Seki, Atsushi Fujii, and Tetsuya Ishikawa
19th International Conference on Computational Linguistics (COLING 2002) 2002.8
Joint Work
Authorship：Lead author
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確率モデルを用いた日本語ゼロ代名詞の照応解析 Reviewed
関和広, 藤井敦, 石川徹也
自然言語処理 2002.7
Joint Work
Authorship：Lead author
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A Probabilistic Model for Japanese Zero Pronoun Resolution Integrating Syntactic and Semantic Features Reviewed
Kazuhiro Seki, Atsushi Fujii, and Tetsuya Ishikawa
6th Natural Language Processing Pacific Rim Symposium (NLPRS 2001) 2001.11
Joint Work
Authorship：Lead author