Jun Suzuki

发表

Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach

Jun Suzuki, Akinori Fujino, Hideki Isozaki, 2007, EMNLP.

Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data

Jun Suzuki, Hideki Isozaki, Hideki Isozaki, 2008, ACL.

Boosting-based Parse Reranking with Subtree Features

Taku Kudo, Jun Suzuki, Hideki Isozaki, 2005, ACL.

The AIP-Tohoku System at the BEA-2019 Shared Task

Hiroki Asano, Jun Suzuki, Tomoya Mizumoto, 2019, BEA@ACL.

A Syntax-Free Approach to Japanese Sentence Compression

Jun Suzuki, Tsutomu Hirao, Hideki Isozaki, 2009, ACL.

Scene-Text Aware Image and Text Retrieval with Dual-Encoder

Shumpei Miyawaki, Jun Suzuki, Taku Hasegawa, 2022, ACL.

Sequence Alignment as a Set Partitioning Problem

Shunji Umetani, Masaaki Nagata, Jun Suzuki, 2016 .

Inhibitory Activity of Hydroxytyrosol against Streptolysin O-Induced Hemolysis.

Jun Suzuki, K. Sogawa, Y. Kodera, 2018, Biocontrol science.

A Discriminative Sentence Compression Method as Combinatorial Optimization Problem

Jun Suzuki, Tsutomu Hirao, Hideki Isozaki, 2007 .

Hierarchical directed acyclic graph kernel

Jun Suzuki, Eisaku Maeda, Yutaka Sasaki, 2006, Systems and Computers in Japan.

Question Type Classification Using Word Attribute N-gram and Statistical Machine Learning

Jun Suzuki, Eisaku Maeda, Yutaka Sasaki, 2003 .

SCT-D3 at the NTCIR-11 MedNLP-2 Task

Hisashi Kurasawa, Jun Suzuki, Tsutomu Hirao, 2014, NTCIR.

Synthesis and acaricidal activity of phenylpiperazine derivatives

Jun Suzuki, Akihito Ootaka, Shinji Onoue, 2021, Journal of pesticide science.

Synthesis and herbicidal activity of 3-substituted toxoflavin analogs

Jun Suzuki, N. Ogawa, Tatsuya Hirano, 2021, Journal of pesticide science.

Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese

Kentaro Inui, Jun Suzuki, Tatsuki Kuribayashi, 2020, ACL.

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization

Masaaki Nagata, Jun Suzuki, M. Nagata, 2016, EACL.

Select and Attend: Towards Controllable Content Selection in Text Generation

Kentaro Inui, Dietrich Klakow, Satoshi Sekine, 2019, EMNLP.

Effective Adversarial Regularization for Neural Machine Translation

Jun Suzuki, Motoki Sato, Shun Kiyono, 2019, ACL.

Character n-gram Embeddings to Improve RNN Language Models pdf

Masaaki Nagata, Jun Suzuki, Sho Takase, 2019, AAAI.

Reducing Odd Generation from Neural Headline Generation 1 / 6 / 19 1 PACLIC 32 Reducing Odd Generation from Neural Headline Generation

Kentaro Inui, Naoaki Okazaki, M. Nagata, 2019 .

Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models

Naoaki Okazaki, Kentaro Inui, Masaaki Nagata, 2018, BlackboxNLP@EMNLP.

Direct Output Connection for a High-Rank Language Model

Masaaki Nagata, Jun Suzuki, Sho Takase, 2018, EMNLP.

An Empirical Study of Building a Strong Baseline for Constituency Parsing

Masaaki Nagata, Hidetaka Kamigaito, Jun Suzuki, 2018, ACL.

Reducing Odd Generation from Neural Headline Generation

Kentaro Inui, Masaaki Nagata, Jun Suzuki, 2018, PACLIC.

Source-side Prediction for Neural Headline Generation pdf

Naoaki Okazaki, Kentaro Inui, Masaaki Nagata, 2017, ArXiv.

Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels

Yuji Matsumoto, Kugatsu Sadamitsu, Jun Suzuki, 2017, IJCNLP.

Input-to-Output Gate to Improve RNN Language Models

Masaaki Nagata, Jun Suzuki, Sho Takase, 2017, IJCNLP.

RNN-based Encoder-decoder Approach with Word Frequency Estimation pdf

Masaaki Nagata, Jun Suzuki, M. Nagata, 2017, ArXiv.

Neural Headline Generation on Abstract Meaning Representation

Naoaki Okazaki, Masaaki Nagata, Jun Suzuki, 2016, EMNLP.

z " : $ ) Source Pred . ( q " : $ ) Source ( X ) Encoder-Decoder ( EncDec ) SPM Computation

Kentaro Inui, Naoaki Okazaki, M. Nagata, 2022 .

Efficient computation of the Nagaoka–Hayashi bound for multiparameter estimation with separable measurements

P. Lam, Jun Suzuki, S. Assad, 2021, npj Quantum Information.

NTT Neural Machine Translation Systems at WAT 2017

Masaaki Nagata, Jun Suzuki, Makoto Morishita, 2019, WAT@IJCNLP.

Extracting representative subset from extensive text data for training pre-trained language models

H. Zen, H. Kazawa, Jun Suzuki, 2023, Information Processing & Management.

Target-Guided Open-Domain Conversation Planning

Kentaro Inui, Jun Suzuki, Jun Suzuki, 2022, COLING.

Online Large-Margin Training for Statistical Machine Translation

Taro Watanabe, Hajime Tsukada, Jun Suzuki, 2007, EMNLP.

SHAPE: Shifted Absolute Position Embedding for Transformers pdf

Kentaro Inui, Jun Suzuki, Sosuke Kobayashi, 2021, EMNLP.

Learning Compact Neural Word Embeddings by Parameter Space Sharing

Masaaki Nagata, Jun Suzuki, M. Nagata, 2016, IJCAI.

Context-aware Neural Machine Translation with Mini-batch Embedding

Jun Suzuki, Tomoharu Iwata, Masaaki Nagata, 2021, EACL.

Domain Adaptation of Machine Translation with Crowdworkers

Makoto Morishita, M. Nagata, Jun Suzuki, 2022, EMNLP.

JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus

Makoto Morishita, M. Nagata, Jun Suzuki, 2022, LREC.

Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model

Kentaro Inui, Jun Suzuki, Shun Kiyono, 2022, BIGSCIENCE.

Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation

Kentaro Inui, Jun Suzuki, Shota Sasaki, 2020, ACL.

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction pdf

Kentaro Inui, Jun Suzuki, Masato Mita, 2020, ACL.

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

Kentaro Inui, Jun Suzuki, Tomoya Mizumoto, 2019, EMNLP.

Hiddenite: 4K-PE Hidden Network Inference 4D-Tensor Engine Exploiting On-Chip Model Construction Achieving 34.8-to-16.0TOPS/W for CIFAR-100 and ImageNet

Thiem Van Chu, Ángel López García-Arias, Jun Suzuki, 2022, IEEE International Solid-State Circuits Conference.

Kernels for Structured Natural Language Data

Jun Suzuki, Eisaku Maeda, Yutaka Sasaki, 2003, NIPS.

Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data

Jun Suzuki, Tsutomu Hirao, Eisaku Maeda, 2003, ACL.

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition

Kentaro Inui, Sho Yokoi, Jun Suzuki, 2020, ACL.

Network-wide traffic state estimation using a mixture Gaussian graphical model and graphical lasso

Junpei Suzuki, Yusuke Hara, Masao Kuwahara, 2018 .

Summarizing a Document by Trimming the Discourse Tree

Masaaki Nagata, Jun Suzuki, Yasuhisa Yoshida, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Interpretable Adversarial Perturbation in Input Embedding Space for Text

Hiroyuki Shindo, Yuji Matsumoto, Jun Suzuki, 2018, IJCAI.

Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems

Jun Suzuki, Jun Suzuki, Hiroaki Sugiyama, 2022, AACL.

Chat Translation Error Detection for Assisting Cross-lingual Communications

Kentaro Inui, Makoto Morishita, Jun Suzuki, 2023, EVAL4NLP.

Bayesian Nagaoka-Hayashi Bound for Multiparameter Quantum-State Estimation Problem

Jun Suzuki, 2023, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

Instance-Based Neural Dependency Parsing

Sho Yokoi, Jun Suzuki, Hiroki Ouchi, 2021, Transactions of the Association for Computational Linguistics.

Incremental Word Re-Ordering and Article Generation: Its Application to Japanese-to-English Machine Translation

Katsuhito Sudoh, Masaaki Nagata, Hajime Tsukada, 2014 .

Sequence and Tree Kernels with Statistical Feature Mining

Jun Suzuki, Hideki Isozaki, Hideki Isozaki, 2005, NIPS.

Convolution Kernels with Feature Selection for Natural Language Processing Tasks

Jun Suzuki, Eisaku Maeda, Hideki Isozaki, 2004, ACL.

Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework

Kentaro Inui, Jun Suzuki, Shun Kiyono, 2018, AAAI.

Multi-label Text Categorization with Model Combination based on F1-score Maximization

Jun Suzuki, Akinori Fujino, Hideki Isozaki, 2008, IJCNLP.

Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization

Kevin Duh, Masaaki Nagata, Jun Suzuki, 2011, IJCNLP.

Distributed Learning-to-Rank on Streaming Data using Alternating Direction Method of Multipliers

Kevin Duh, Masaaki Nagata, Jun Suzuki, 2011 .

A Data-Oriented Approach for Closed-Book Question Answering

Kentaro Inui, Jun Suzuki, Hiroki Ouchi, 2021, Journal of Natural Language Processing.

Personalized Visited-POI Assignment to Individual Raw GPS Trajectories

Yoshihiko Suhara, Jun Suzuki, Hiroyuki Toda, 2019, ACM Trans. Spatial Algorithms Syst..

Robust Online Learning to Rank via Selective Pairwise Approach Based on Evaluation Measures

Ryoji Kataoka, Yoshihiko Suhara, Jun Suzuki, 2013, Inf. Media Technol..

An Empirical Study of Span Representations in Argumentation Structure Parsing

Kentaro Inui, Jun Suzuki, Hiroki Ouchi, 2019, ACL.

Kernels for Structured Data for Natural Language Processing

Jun Suzuki, Jun Suzuki, 2005 .

Shift-reduce Spinal TAG Parsing with Dynamic Programming

Masaaki Nagata, Jun Suzuki, Katsuhiko Hayashi, 2016, Transactions of the Japanese society for artificial intelligence.

Evaluating Dialogue Generation Systems via Response Selection

Kentaro Inui, Reina Akama, Jun Suzuki, 2020, ACL.

Larger feature set approach for machine translation in IWSLT 2007

Taro Watanabe, Katsuhito Sudoh, Hajime Tsukada, 2007, IWSLT.