Kazuma Hashimoto

According to our database1, Kazuma Hashimoto authored at least 49 papers between 2003 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
Ambiguity-Aware In-Context Learning with Large Language Models.
CoRR, 2023

Exploring the Viability of Synthetic Query Generation for Relevance Prediction.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
CoRR, 2022

GROOT: Corrective Reward Optimization for Generative Sequential Labeling.
CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.
CoRR, 2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering.
CoRR, 2022

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NaturalCC: An Open-Source Toolkit for Code Intelligence.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

Transforming Sequence Tagging Into A Seq2Seq Task.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Modeling Multi-hop Question Answering as Single Sequence Prediction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization.
npj Digit. Medicine, 2021

Field Extraction from Forms with Unlabeled Data.
CoRR, 2021

Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection.
CoRR, 2021

Causal-aware Safe Policy Improvement for Task-oriented dialogue.
CoRR, 2021

Focused Attention Improves Document-Grounded Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.
Proceedings of the 9th International Conference on Learning Representations, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture.
Future Gener. Comput. Syst., 2020

Neural Text Generation with Artificial Negative Examples.
CoRR, 2020

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization.
CoRR, 2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR, 2020

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering.
Proceedings of the 8th International Conference on Learning Representations, 2020

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Building Salesforce Neural Machine Translation System.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

2019
Incorporating Source-Side Phrase Structures into Neural Machine Translation.
Comput. Linguistics, 2019

A High-Quality Multilingual Dataset for Structured Documentation Translation.
Proceedings of the Fourth Conference on Machine Translation, 2019

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Multilingual Extractive Reading Comprehension by Runtime Machine Translation.
CoRR, 2018

2017
Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Source-Side Latent Graph Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Topic detection using paragraph vectors to support active learning in systematic reviews.
J. Biomed. Informatics, 2016

Domain Adaptation for Neural Networks by Parameter Augmentation.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.
Proceedings of the 3rd Workshop on Asian Translation, 2016

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation.
Proceedings of the 3rd Workshop on Asian Translation, 2016

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Tree-to-Sequence Attentional Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization.
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality, 2015

2014
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Simple Customization of Recursive Neural Networks for Semantic Relation Classification.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2003
Autonomous Detection of Untraversability of the Path on Rough Terrain for the Remote Controlled Mobile Robots.
Proceedings of the Field and Service Robotics, Recent Advances in Reserch and Applications, 2003


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