Kei Wakabayashi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 35

Top Topics

Named Entity Recognition

Top Venues

J. Data Intell.

Publications

Zikai Zhou, Kei Wakabayashi, Hiroyoshi Ito
Phrase-Level Topic Modeling Based on Joint Embedding Space of Words, Phrases and Documents. J. Inf. Process. 32 (2024)
Ayame Shimizu, Kei Wakabayashi, Masaki Matsubara, Hiroyoshi Ito, Atsuyuki Morishima
Hybrid Crowd-AI Learning for Human-Interpretable Symbolic Rules in Image Classification. IIAI-AAI (2023)
Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi
Reducing Human Effort in Keyphrase-Based Human-in-the-Loop Topic Models: A Method for Keyphrase Recommendations. iiWAS (2023)
Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi
Keyphrase-based Refinement Functions for Efficient Improvement on Document-Topic Association in Human-in-the-Loop Topic Models. J. Inf. Process. 31 (2023)
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. IIAI-AAI (2023)
Ayame Shimizu, Kei Wakabayashi
Effect of Label Redundancy in Crowdsourcing for Training Machine Learning Models. J. Data Intell. 3 (3) (2022)
Yu Yamashita, Hiroyoshi Ito, Kei Wakabayashi, Masaki Kobayashi, Atsuyuki Morishima
HAEM: Obtaining Higher-Quality Classification Task Results with AI Workers. WebSci (2022)
Fumimaro Odakura, Koga Kobayashi, Kei Wakabayashi
Active Learning for Extracting Technical Terms Covering Multiword Phrases. iiWAS (2021)
Ayame Shimizu, Kei Wakabayashi
Examining Effect of Label Redundancy for Machine Learning using Crowdsourcing. iiWAS (2021)
Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima
Human+AI Crowd Task Assignment Considering Result Quality Requirements. HCOMP (2021)
Kei Wakabayashi, Johane Takeuchi, Mikio Nakano
Segmentation-Based Formulation of Slot Filling Task for Better Generative Modeling. IWSDS (2021)
Ryosuke Saito, Koga Kobayashi, Kei Wakabayashi
Efficient Training Method for Phrase Extraction Models using Natural Language Explanations. iiWAS (2021)
Koga Kobayashi, Kei Wakabayashi
Mitigating Effect of Dictionary Matching Errors in Distantly Supervised Named Entity Recognition. iiWAS (2020)
Masaki Kobayashi, Kei Wakabayashi, Atsuyuki Morishima
Quality-aware Dynamic Task Assignment in Human+AI Crowd. WWW (Companion Volume) (2020)
Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito
Computational Division of Labor with Human and AI Workers. IEEE Data Eng. Bull. 43 (3) (2020)
Hikaru Uchida, Masaki Matsubara, Kei Wakabayashi, Atsuyuki Morishima
Human-in-the-loop Approach towards Dual Process AI Decisions. IEEE BigData (2020)
Kei Wakabayashi, Daisuke Kotani, Yasuo Okabe
Traffic-aware Access Control List Reconstruction. ICOIN (2020)
Koga Kobayashi, Kei Wakabayashi
Partial Annotation Scheme for Active Learning on Named Entity Recognition Tasks. J. Data Intell. 1 (3) (2020)
Yixuan Wu, Kei Wakabayashi
Effect of Semantic Content Generalization on Pointer Generator Network in Text Summarization. iiWAS (2020)
Masanari Kimura, Kei Wakabayashi, Atsuyuki Morishima
Batch Prioritization of Data Labeling Tasks for Training Classifiers. HCOMP (2020)
Kei Wakabayashi
Silent HMMs: Generalized Representation of Hidden Semi-Markov Models and Hierarchical HMMs. FSMNLP (2019)
Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi, Satoshi Fukuyama
Events Insights Extraction from Twitter Using LDA and Day-Hashtag Pooling. iiWAS (2019)
Koga Kobayashi, Kei Wakabayashi
Named entity recognition using point prediction and active learning. iiWAS (2019)
Makoto Hiramatsu, Kei Wakabayashi, Jun Harashima
Named Entity Recognition by Character-Based Word Classification Using a Domain Specific Dictionary. CICLing (2) (2019)
Xinnan Chen, Muhammad Haseeb U. R. Rehman Khan, Kei Wakabayashi
Estimation Method of L2 Learners' Second Language Ability by using Features in Conversation. iiWAS (2019)
Genkou Ou, Kei Wakabayashi, Tetsuji Satoh
Searching Behavior Analysis of Online Shopping Based on Information Content of Query Words. IIAI-AAI (2019)
Satoshi Fukuyama, Kei Wakabayashi
Extracting time series variation of topic popularity in microblogs. iiWAS (2018)
Kei Wakabayashi
Segmentation-based Unsupervised Phrase Detection. iiWAS (2018)
Makoto Hiramatsu, Kei Wakabayashi
Encoder-Decoder Neural Networks for Taxonomy Classification. eCOM@SIGIR (2018)
Kento Nozawa, Kei Wakabayashi
Scalable Algorithm for Probabilistic Overlapping Community Detection. SWM@WSDM (2017)
Shuhei Yamamoto, Kei Wakabayashi, Tetsuji Satoh, Yuri Nozaki, Noriko Kando
Twitter user growth analysis based on diversities in posting activities. Int. J. Web Inf. Syst. 13 (4) (2017)
Yuto Hoshikawa, Kei Wakabayashi
Automatic Extraction of Discussion based on Sentence Type Estimation. CSCW Companion (2017)
Kei Wakabayashi, Johane Takeuchi, Kotaro Funakoshi, Mikio Nakano
Nonparametric Bayesian Models for Spoken Language Understanding. EMNLP (2016)
Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh
Who are growth users?: analyzing and predicting intended Twitter user growth. iiWAS (2016)
Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh
Twitter user tagging method based on burst time series. Int. J. Web Inf. Syst. 12 (3) (2016)
Shuhei Yamamoto, Kei Wakabayashi, Noriko Kando, Tetsuji Satoh
BUTE: bursty users tagging method estimated by time series data. iiWAS (2015)
Kei Wakabayashi, Takao Miura
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models. NIPS (2012)
Kei Wakabayashi, Takao Miura
Topology Estimation of Hierarchical Hidden Markov Models for Language Models. NLDB (2010)
Ichiro Matsuda, Kei Wakabayashi, Yu Ikeda, Susumu Itoh
A lossless re-encoding scheme for MPEG-1 video. EUSIPCO (2009)
Kei Wakabayashi, Takao Miura
Data Stream Prediction Using Incremental Hidden Markov Models. DaWaK (2009)
Kei Wakabayashi, Takao Miura
Topics Identification Based on Event Sequence Using Co-occurrence Words. NLDB (2008)
Ichiro Matsuda, Yukio Nomoto, Kei Wakabayashi, Susumu Itoh
Lossless re-encoding of JPEG images using block-adaptive intra prediction. EUSIPCO (2008)
Kei Wakabayashi, Takao Miura
Identifying Event Sequences Using Hidden Markov Model. NLDB (2007)