Kyosuke Nishida

According to our database1, Kyosuke Nishida authored at least 50 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP.
CoRR, 2023

Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering.
Proceedings of the 37th Pacific Asia Conference on Language, 2023

DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion.
Proceedings of the Interspeech 2022, 2022

Dialogue Acts Aided Important Utterance Detection Based on Multiparty and Multimodal Information.
Proceedings of the Interspeech 2022, 2022

Scene-Text Aware Image and Text Retrieval with Dual-Encoder.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Task-adaptive Pre-training of Language Models with Word Embedding Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

VisualMRC: Machine Reading Comprehension on Document Images.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models.
CoRR, 2020

Length-controllable Abstractive Summarization by Guiding with Summary Prototype.
CoRR, 2020

Unsupervised Domain Adaptation of Language Models for Reading Comprehension.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Transformer-Based Audio Captioning Model with Keyword Estimation.
Proceedings of the Interspeech 2020, 2020

2019
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories.
ACM Trans. Spatial Algorithms Syst., 2019

A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension.
CoRR, 2019

Generalized Large-Context Language Models Based on Forward-Backward Hierarchical Recurrent Encoder-Decoder Models.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Multi-style Generative Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Query Expansion with Neural Question-to-Answer Translation for FAQ-based Question Answering.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Natural Language Inference with Definition Embedding Considering Context On the Fly.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Automatically Generating Head Nods with Linguistic Information.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

Commonsense Knowledge Base Completion and Generation.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Social media knows what road it is: quantifying road characteristics with geo-tagged posts.
Soc. Netw. Anal. Min., 2017

Predicting Destinations from Partial Trajectories Using Recurrent Neural Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Hyperspherical Query Likelihood Models with Word Embeddings.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Classifying spatial trajectories using representation learning.
Int. J. Data Sci. Anal., 2016

Deep Feature Extraction from Trajectories for Transportation Mode Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

How fashionable is each street?: Quantifying road characteristics using social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2014
Demographic and Psychographic Estimation of Twitter Users Using Social Structures.
Proceedings of the Online Social Media Analysis and Visualization, 2014

Probabilistic identification of visited point-of-interest for personalized automatic check-in.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013
What is he/she like?: estimating Twitter user attributes from contents and social neighbors.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Improving tweet stream classification by detecting changes in word probability.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Hierarchical auto-tagging: organizing Q&A knowledge for everyone.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Learning, detecting, understanding, and predicting concept changes.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Detecting sudden concept drift with knowledge of human behavior.
Proceedings of the IEEE International Conference on Systems, 2008

2007
Quick online feature selection method for regression -A feature selection method inspired by human behavior-.
Proceedings of the IEEE International Conference on Systems, 2007

Detecting Concept Drift Using Statistical Testing.
Proceedings of the Discovery Science, 10th International Conference, 2007

2006
An online learning algorithm with dimension selection using minimal hyper basis function networks.
Syst. Comput. Jpn., 2006

2005
ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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