NLPExplorer

Jun Suzuki

Number of Papers:- 52

Number of Citations:- 270

First ACL Paper:- 2002

Latest ACL Paper:- 2020

Venues:-

PACLIC

EACL

COLING

IJCNLP

ACL

WAT

WMT

*SEMEVAL

EMNLP

CoNLL

NAACL

Co-Authors:-

Similar Authors:-

Single Model Ensemble using Pseudo-Tags and Distinct Vectors ACL

Ryosuke Kuwabara | Jun Suzuki | Hideki Nakayama |

Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition ACL

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

Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation ACL

Evaluating Dialogue Generation Systems via Response Selection ACL

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

Tatsuki Kuribayashi | Takumi Ito | Jun Suzuki | Kentaro Inui |

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

Select and Attend: Towards Controllable Content Selection in Text Generation EMNLP

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction EMNLP

Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis EMNLP

Hiroki Ouchi | Jun Suzuki | Kentaro Inui |

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments EMNLP

NTT Neural Machine Translation Systems at WAT 2019 EMNLP WS

Makoto Morishita | Jun Suzuki | Masaaki Nagata |

Subword-based Compact Reconstruction of Word Embeddings NAACL

Shota Sasaki | Jun Suzuki | Kentaro Inui |

Effective Adversarial Regularization for Neural Machine Translation ACL

Motoki Sato | Jun Suzuki | Shun Kiyono |

An Empirical Study of Span Representations in Argumentation Structure Parsing ACL

The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4 *SEMEVAL

Annotating with Pros and Cons of Technologies in Computer Science Papers NAACL WS

Hono Shirai | Naoya Inoue | Jun Suzuki | Kentaro Inui |

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

Hiroki Asano | Masato Mita | Tomoya Mizumoto | Jun Suzuki |

Improving Neural Machine Translation by Incorporating Hierarchical Subword Features COLING

Makoto Morishita | Jun Suzuki | Masaaki Nagata |

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions EMNLP

Direct Output Connection for a High-Rank Language Model EMNLP

Sho Takase | Jun Suzuki | Masaaki Nagata |

An Empirical Study of Building a Strong Baseline for Constituency Parsing ACL

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

NTT’s Neural Machine Translation Systems for WMT 2018 EMNLP WMT WS

Makoto Morishita | Jun Suzuki | Masaaki Nagata |

Reducing Odd Generation from Neural Headline Generation PACLIC

Enumeration of Extractive Oracle Summaries EACL

Tsutomu Hirao | Masaaki Nishino | Jun Suzuki | Masaaki Nagata |

Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL

Jun Suzuki | Masaaki Nagata |

Input-to-Output Gate to Improve RNN Language Models IJCNLP

Sho Takase | Jun Suzuki | Masaaki Nagata |

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

NTT Neural Machine Translation Systems at WAT 2017 WAT WS

Makoto Morishita | Jun Suzuki | Masaaki Nagata |

Neural Headline Generation on Abstract Meaning Representation EMNLP

Right-truncatable Neural Word Embeddings NAACL

Jun Suzuki | Masaaki Nagata |

Phrase Table Pruning via Submodular Function Maximization ACL

Masaaki Nishino | Jun Suzuki | Masaaki Nagata |

A Unified Learning Framework of Skip-Grams and Global Vectors ACL IJCNLP

Jun Suzuki | Masaaki Nagata |

Dependency-based Discourse Parser for Single-Document Summarization EMNLP

Yasuhisa Yoshida | Jun Suzuki | Tsutomu Hirao | Masaaki Nagata |

Shift-Reduce Word Reordering for Machine Translation EMNLP

Supervised Model Learning with Feature Grouping based on a Discrete Constraint ACL

Jun Suzuki | Masaaki Nagata |

Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization IJCNLP

Jun Suzuki | Kevin Duh | Masaaki Nagata |

Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning ACL

Jun Suzuki | Hideki Isozaki | Masaaki Nagata |

An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing EMNLP

Jun Suzuki | Hideki Isozaki | Xavier Carreras | Michael Collins |

A Syntax-Free Approach to Japanese Sentence Compression ACL IJCNLP

Tsutomu Hirao | Jun Suzuki | Hideki Isozaki |

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

Akinori Fujino | Hideki Isozaki | Jun Suzuki |

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

Jun Suzuki | Hideki Isozaki |

Online Large-Margin Training for Statistical Machine Translation CoNLL EMNLP

Taro Watanabe | Jun Suzuki | Hajime Tsukada | Hideki Isozaki |

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

Jun Suzuki | Akinori Fujino | Hideki Isozaki |

Training Conditional Random Fields with Multivariate Evaluation Measures ACL COLING

Jun Suzuki | Erik McDermott | Hideki Isozaki |

Boosting-based Parse Reranking with Subtree Features ACL

Taku Kudo | Jun Suzuki | Hideki Isozaki |

Dependency-based Sentence Alignment for Multiple Document Summarization COLING

Tsutomu Hirao | Jun Suzuki | Hideki Isozaki | Eisaku Maeda |

Convolution Kernels with Feature Selection for Natural Language Processing Tasks ACL

Jun Suzuki | Hideki Isozaki | Eisaku Maeda |

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

Jun Suzuki | Tsutomu Hirao | Yutaka Sasaki | Eisaku Maeda |

Question Classification using HDAG Kernel WS

Jun Suzuki | Hirotoshi Taira | Yutaka Sasaki | Eisaku Maeda |

SVM Answer Selection for Open-Domain Question Answering COLING

Jun Suzuki | Yutaka Sasaki | Eisaku Maeda |