Daichi Mochihashi

62 papers A* 5A 5B 2C 1Misc 3Journal 23Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Cross-lingual and Word-Independent Methods for Quantifying Degree of Grammaticalization. EACL (Volume 1: Long Papers) Ryo Nagata, Daichi Mochihashi, Misato Ido, Yusuke Kubota, Naoki Otani, Yoshifumi Kawasaki, Hiroya Takamura
2025	B	`conf`	Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices. COLING Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2025	J	`jnl`	Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices. CoRR Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2025	J	`jnl`	Analyzing Word Semantic Shifts with Diachronic Similarity Matrices. J. Nat. Lang. Process. Hajime Kiyama, Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2025	J	`jnl`	Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance. CoRR Hiroshi Tamano, Hideitsu Hino, Daichi Mochihashi
2025	J	`jnl`	Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process. CoRR Issei Saito, Masatoshi Nagano, Tomoaki Nakamura, Daichi Mochihashi, Koki Mimura
2025	J	`jnl`	Sequential Unsupervised Motion Segmentation for Skill Evaluation and Comparison. IEEE Access Ken Kajiwara, Issei Saito, Tomoaki Nakamura, Daichi Mochihashi, Koki Mimura
2025	J	`jnl`	Tracking Temporal Dynamics of Vector Sets with Gaussian Process. CoRR Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2024	—	`conf`	Learning Adverbs with Spectral Mixture Kernels. ACL (Findings) Tomoe Taniguchi, Daichi Mochihashi, Ichiro Kobayashi
2024	J	`jnl`	Real World Applications of Large Language Models. J. Nat. Lang. Process. Koichiro Yoshino, Tadahiro Taniguchi, Daichi Mochihashi, Kento Kawaharazuka, Tatsuya Matsushima, Seitaro Shinagawa, Ichiro Kobayashi
2023	J	`jnl`	A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. J. Nat. Lang. Process. Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2023	J	`jnl`	Estimating Differential Equations from Temporal Point Processes. Trans. Mach. Learn. Res. Shuichi Miyazawa, Daichi Mochihashi
2023	—	`conf`	Holographic CCG Parsing. ACL (1) Ryosuke Yamaki, Tadahiro Taniguchi, Daichi Mochihashi
2023	—	`conf`	Investigation of Information Processing Mechanisms in the Human Brain During Reading Tanka Poetry. ICANN (8) Anna Sato, Junichi Chikazoe, Shotaro Funai, Daichi Mochihashi, Yutaka Shikano, Masayuki Asahara, Satoshi Iso, Ichiro Kobayashi
2023	—	`conf`	Scale-Invariant Infinite Hierarchical Topic Model. ACL (Findings) Shusei Eshima, Daichi Mochihashi
2023	J	`jnl`	Workshop on Deep Computational Linguistics (JNLP2023). J. Nat. Lang. Process. Yusuke Kubota, Daichi Mochihashi
2022	—	`conf`	Detecting Sensory Textures with Rheological Characteristics from Recipe Sharing Sites. ICDE Workshops Hiroshi Uehara, Daichi Mochihashi
2022	A*	`conf`	Infinite SCAN: An Infinite Model of Diachronic Semantic Change. EMNLP Seiichi Inoue, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2022	—	`conf`	Nonparametric Bayesian Deep Visualization. ECML/PKDD (1) Haruya Ishizuka, Daichi Mochihashi
2022	J	`jnl`	Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes. Frontiers Robotics AI Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi
2022	J	`jnl`	Special issue on Symbol Emergence in Robotics and Cognitive Systems (I). Adv. Robotics Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
2022	J	`jnl`	Special issue on symbol emergence in robotics and cognitive systems (II). Adv. Robotics Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
2021	C	`conf`	A Comprehensive Analysis of PMI-based Models for Measuring Semantic Differences. PACLIC Taichi Aida, Mamoru Komachi, Toshinobu Ogiso, Hiroya Takamura, Daichi Mochihashi
2021	J	`jnl`	Editorial: Language and Robotics. Frontiers Robotics AI Tadahiro Taniguchi, Takato Horii, Xavier Hinaut, Michael Spranger, Daichi Mochihashi, Takayuki Nagai
2020	B	`conf`	How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. COLING Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
2020	J	`jnl`	How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text. CoRR Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
2019	J	`jnl`	HVGH: Unsupervised Segmentation for High-Dimensional Time Series Using Deep Neural Compression and Statistical Generative Model. Frontiers Robotics AI Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano
2019	A	`conf`	High-dimensional Motion Segmentation by Variational Autoencoder and Gaussian Processes. IROS Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Wataru Takano
2019	—	`conf`	Recognition of Japanese historical text lines by an attention-based encoder-decoder and text line generation. HIP@ICDAR Anh Duc Le, Daichi Mochihashi, Katsuya Masuda, Hideki Mima, Nam Tuan Ly
2019	J	`jnl`	Survey on frontiers of language and robotics. Adv. Robotics Tadahiro Taniguchi, Daichi Mochihashi, Takayuki Nagai, Satoru Uchida, Naoya Inoue, Ichiro Kobayashi, Tomoaki Nakamura, Yoshinobu Hagiwara, Naoto Iwahashi, Tetsunari Inamura
2018	—	`conf`	A Probabilistic Approach to Unsupervised Induction of Combinatory Categorial Grammar in Situated Human-Robot Interaction. Humanoids Amir Aly, Tadahiro Taniguchi, Daichi Mochihashi
2018	J	`jnl`	Natural Language Generation Using Monte Carlo Tree Search. J. Adv. Comput. Intell. Intell. Informatics Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai
2018	A	`conf`	Sequence Pattern Extraction by Segmenting Time Series Data Using GP-HSMM with Hierarchical Dirichlet Process. IROS Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Masahide Kaneko
2017	A*	`conf`	Learning Co-Substructures by Kernel Dependence Maximization. IJCAI Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui
2017	—	`conf`	MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. IJCNLP(1) Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi
2017	J	`jnl`	Nonparametric Bayesian Semi-supervised Word Segmentation. Trans. Assoc. Comput. Linguistics Ryo Fujii, Ryo Domoto, Daichi Mochihashi
2017	J	`jnl`	Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes. Frontiers Neurorobotics Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh, Masahide Kaneko
2017	A	`conf`	Semi-Supervised Learning of a Pronunciation Dictionary from Disjoint Phonemic Transcripts and Text. INTERSPEECH Takahiro Shinozaki, Shinji Watanabe, Daichi Mochihashi, Graham Neubig
2017	—	`conf`	Suggesting Sentences for ESL using Kernel Embeddings. NLP-TEA@IJCNLP Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi
2016	—	`conf`	Human-like Natural Language Generation Using Monte Carlo Tree Search. CC-NLG Kaori Kumagai, Ichiro Kobayashi, Daichi Mochihashi, Hideki Asoh, Tomoaki Nakamura, Takayuki Nagai
2016	J	`jnl`	Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models. Adv. Robotics Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh
2016	—	`conf`	Musical Typicality: How Many Similar Songs Exist?. ISMIR Tomoyasu Nakano, Daichi Mochihashi, Kazuyoshi Yoshii, Masataka Goto
2015	—	`conf`	Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models. ACL (1) Kei Uchiumi, Hiroshi Tsukahara, Daichi Mochihashi
2015	A*	`conf`	Learning Word Meanings and Grammar for Describing Everyday Activities in Smart Environments. EMNLP Muhammad Attamimi, Yuji Ando, Tomoaki Nakamura, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi, Hideki Asoh
2014	Misc	`conf`	Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations. ICASSP Yasunori Ohishi, Daichi Mochihashi, Hirokazu Kameoka, Kunio Kashino
2013	Misc	`conf`	Bayesian semi-supervised audio event transcription based on Markov indian buffet process. ICASSP Yasunori Ohishi, Daichi Mochihashi, Tomoko Matsui, Masahiro Nakano, Hirokazu Kameoka, Tomonori Izumitani, Kunio Kashino
2013	—	`conf`	Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction. ISMIR Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto
2013	A*	`conf`	Improvements to the Bayesian Topic N-Gram Models. EMNLP Hiroshi Noji, Daichi Mochihashi, Yusuke Miyao
2013	—	`conf`	Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals. ICML (3) Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto
2012	A	`conf`	A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components. INTERSPEECH Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Kunio Kashino
2011	Misc	`conf`	Gibbs sampling based Multi-scale Mixture Model for speaker clustering. ICASSP Shinji Watanabe, Daichi Mochihashi, Takaaki Hori, Atsushi Nakamura
2010	—	`conf`	Learning Common Grammar from Multilingual Corpus. ACL (2) Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
2010	A	`conf`	Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases. INTERSPEECH Yasunori Ohishi, Hirokazu Kameoka, Daichi Mochihashi, Hidehisa Nagano, Kunio Kashino
2009	—	`conf`	Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling. ACL/IJCNLP Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
2009	J	`jnl`	On the properties of von Neumann kernels for link analysis. Mach. Learn. Masashi Shimbo, Takahiko Ito, Daichi Mochihashi, Yuji Matsumoto
2007	—	`conf`	The Infinite Markov Model. NIPS Daichi Mochihashi, Eiichiro Sumita
2006	—	`conf`	Exploring Multiple Communities with Kernel-Based Link Analysis. PKDD Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
2006	—	`conf`	Investigating the Effect of Multiple Communities on Kernel-Based Citation Analysis. ICDE Workshops Takahiko Ito, Masashi Shimbo, Daichi Mochihashi, Yuji Matsumoto
2006	J	`jnl`	Learning an optimal distance metric in a linguistic vector space. Syst. Comput. Jpn. Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita
2006	—	`conf`	The niCT-ATR statistical machine translation system for the IWSLT 2006 evaluation. IWSLT Ruiqiang Zhang, Hirofumi Yamamoto, Michael Paul, Hideo Okuma, Keiji Yasuda, Yves Lepage, Etienne Denoual, Daichi Mochihashi, Andrew M. Finch, Eiichiro Sumita
2005	—	`conf`	Context as Filtering. NIPS Daichi Mochihashi, Yuji Matsumoto
2004	A*	`conf`	Learning Nonstructural Distance Metric by Minimum Cluster Distortion. EMNLP Daichi Mochihashi, Gen-ichiro Kikui, Kenji Kita