学術雑誌論文 査読付国際会議録論文 国内会議録論文

査読付国際会議録論文

2024

  1. Rui Yang, Kei Wakabayashi : Active Utterance Collection based on Multi-Armed Bandits for Natural Language Understanding in Dialog Systems. 2024.12

  2. Danmeng Cai, Kei Wakabayashi, Shaoyu Ye: Multi-Target Feature Selection Method for Predicting User-Level Psychological Status from Text. 2024.12

2023

  1. Muhammad Haseeb UR Rehman Khan, Kei Wakabayashi : Reducing Human Effort in Keyphrase-Based Human-in-the-Loop Topic Models: A Method for Keyphrase Recommendations. Proceedings of the 25th International Conference on Information Integration and Web Intelligence, pp.233-248, 2023.11 < Info >

  2. Rui Yang, Farnoosh Javar, Kei Wakabayashi, Johane Takeuchi : Exploring the Impact of Syntactic Structure Information on Unknown Entity Recognition in Transformer-based Natural Language Understanding. Proceedings of the 14th International Conference on Smart Computing and Artificial Intelligence, pp.331-336, 2023.7 < Info >

  3. Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima : Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification. Proceedings of the 14th International Conference on Smart Computing and Artificial Intelligence, 2023.7 < Info >

2022

  1. Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima : HAEM: Obtaining Higher-Quality Classification Task Results with AI workers. WebSci ‘22: 14th ACM Web Science Conference 2022, pp.118-128, 2022.6 < Info >

2021

  1. Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima : Human+AI Crowd Task Assignment Considering Result Quality Requirements. Proceedings of the 9th AAAI Conference of Human Computation and Crowdsourcing (HCOMP2021), pp.97-107, 2021.11 < Info >

  2. Ayame Shimizu, Kei Wakabayashi : Examining Effect of Label Redundancy for Machine Learning using Crowdsourcing. Proceedings of the 23rd International Conference on Information Integration and Web Intelligence, pp.87-94, 2021.11 < Info >

  3. Ryosuke Saito, Koga Kobayashi, Kei Wakabayashi : Efficient Training Method for Phrase Extraction Models using Natural Language Explanations. Proceedings of the 23rd International Conference on Information Integration and Web Intelligence, pp.288-295, 2021.11 < Info >

  4. Fumimaro Odakura, Koga Kobayashi, Kei Wakabayashi : Active Learning for Extracting Technical Terms Covering Multiword Phrases. Proceedings of the 23rd International Conference on Information Integration and Web Intelligence, pp.311-318, 2021.11 < Info >

  5. Kei Wakabayashi, Johane Takeuchi, Mikio Nakano : Segmentation-Based Formulation of Slot Filling Task for Better Generative Modeling. Proceedings of the 12th International Workshop on Spoken Dialog System Technology, pp.17-31, 2021.11 < Info >

  6. Masato Shirai, Kei Wakabayashi : Document Selection for Transfer Learning in Abstractive Summarization. Proceedings of the 10th International Congress on Advanced Applied Informatics, pp.394-399, 2021.7 < Info >

  7. Muhammad Haseeb UR Rehman Khan, Kei Wakabayashi : Drifting and Popularity: A Study of Time Series Analysis of Topics. Proceedings of the Seventh International Conference on Big Data, Small Data, Linked Data and Open Data, pp.16-22, 2021.4 < Info >

2020

  1. Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima : Human-in-the-loop Approach towards Dual Process AI Decisions. Proceedings of 2020 IEEE International Conference on BigData (BigData), pp.3096-3098, 2020.12 < Info >

  2. Koga Kobayashi, Kei Wakabayashi : Mitigating Effect of Dictionary Matching Errors in Distantly Supervised Named Entity Recognition. Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services, pp.111-114, 2020.11 < Info >

  3. Yixuan Wu, Kei Wakabayashi : Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization. Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services, pp.72-76, 2020.11 < Info >

  4. Masanori Kimura, Kei Wakabayashi, Atsuyuki Morishima : Batch Prioritization of Data Labeling Tasks for Training Classifiers. Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing, pp.163-167, 2020.10 < Info >

  5. Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima : Quality-aware Dynamic Task Assignment in Human+AI Crowd. Proceedings of the Web Conference 2020, pp.118-119, 2020.4 < Info >

2019

  1. Koga Kobayashi, Kei Wakabayashi : Named entity recognition using point prediction and active learning. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, pp.287-293, 2019.12 < Info >

  2. Muhammad Haseeb Ur Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama : Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, pp.240-244, 2019.12 < Info >

  3. Xinnan Chen, Muhammad Haseeb Ur Rehman Khan, Kei Wakabayashi : Estimation Method of L2 Learners’ Second Language Ability by using Features in Conversation. Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, pp.142-150, 2019.12 < Info >

  4. Kei Wakabayashi : Silent HMMs: Generalized Representation of Hidden Semi-Markov Models and Hierarchical HMMs. Proceedings of the 14th International Conference on Finite State Methods and Natural Language Processing, pp.98-107, 2019.9 < Info >

  5. Genko Ou, Kei Wakabayashi, Tetsuji Satoh : Searching Behavior Analysis of Online Shopping based on Information Content of Query Words. 8th International Congress on Advanced Applied Informatics, pp.43-48, 2019.7 < Info >

  6. Makoto Hiramatsu, Kei Wakabayashi, Jun Harashima : Named Entity Recognition by Character-based Word Classification using a Domain Specific Dictionary. Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing, pp.38-48, 2019.4 < Info >

2018

  1. Kei Wakabayashi : Segmentation-based Unsupervised Phrase Detection. Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, pp.138-142, 2018.11 < Info >

  2. Satoshi Fukuyama, Kei Wakabayashi : Extracting time series variation of topic popularity in microblogs. Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services, pp.365-369, 2018.11 < Info >

  3. Makoto Hiramatsu, Kei Wakabayashi : Encoder-Decoder Neural Networks for Taxonomy Classification. Proceedings of the 2018 SIGIR Workshop on eCommerce, 4 pages, 2018.7 < Info >

2017

  1. Yuto Hoshikawa, Kei Wakabayashi : Automatic Extraction of Discussion based on Sentence Type Estimation. Proceedings of the 2017 ACM Conference on Computer-Supported Cooperative Work & Social Computing, pp.203-206, 2017.2 < Info >

  2. Kento Nozawa, Kei Wakabayashi : Scalable Algorithm for Probabilistic Overlapping Community Detection. Proceedings of the 1st Workshop on Scholarly Web Mining, pp.9-16, 2017.2 < Info >

2016

  1. Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano : Nonparametric Bayesian Models for Spoken Language Understanding. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pp.2144-2152, 2016.11 < Info >

  2. Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh : Who are Growth Users?: Analyzing and Predicting Intended Twitter User Growth. Proceedings of the 18th International Conference on Information Integration and Web-based Applications & Services, pp.64-71, 2016.11 < Info >

Before 2015

  1. Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh : BUTE: Bursty Users Tagging Method Estimated by Time Series Data. Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, pp.148-156, 2015.12 < Info >

  2. Kei Wakabayashi, Takao Miura : Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models. Advances in Neural Information Processing Systems, Vol.25, pp.1493-1501, 2012.12 < Info >

  3. Kei Wakabayashi, Takao Miura : Topology Estimation of Hierarchical Hidden Markov Models for Language Models. Proceedings of the 15th International Conference on Applications of Natural Language to Information Systems, Lecture Notes in Computer Science, Vol.6177, pp.129-139, 2010.6 < Info >

  4. Kei Wakabayashi, Takao Miura : Data Stream Prediction Using Incremental Hidden Markov Models. Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, Lecture Notes in Computer Science, Vol.5691, pp.63-74, 2009.8 < Info >

  5. Kei Wakabayashi, Takao Miura : Topics Identification Based on Event Sequence Using Co-occurrence Words. Proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, Lecture Notes in Computer Science, Vol.5039, pp.219-225, 2008.6 < Info >

  6. Kei Wakabayashi, Takao Miura : Identifying Event Sequences Using Hidden Markov Model. Proceedings of the 12th International Conference on Applications of Natural Language to Information Systems, Lecture Notes in Computer Science, Vol.4592, pp.84-95, 2007.6 < Info >