Researcher profile

Jungo Kasai

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. TAG Parsing with Neural Networks and Vector Representations of Supertags

    2017

    We present supertagging-based models for Tree Adjoining Grammar parsing that use neural network architectures and dense vector representation of supertags (elementary trees) to achieve state-of-the-art performance in unlabeled and labeled attachment scores. The shift-reduce parsing …

  2. Low-Resource Parsing with Crosslingual Contextualized Representations

    2019

    Despite advances in dependency parsing, languages with small treebanks still present challenges.

  3. Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

    2020 · arXiv (Cornell University)

    Much recent effort has been invested in non-autoregressive neural machine translation, which appears to be an efficient alternative to state-of-the-art autoregressive machine translation on modern GPUs. In contrast to the latter, where generation is sequential, …

  4. One Embedder, Any Task: Instruction-Finetuned Text Embeddings

    2023

    Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu. Findings of the Association for Computational Linguistics: ACL 2023. 2023.

  5. Robust Multilingual Part-of-Speech Tagging via Adversarial Training

    2018

    Michihiro Yasunaga, Jungo Kasai, Dragomir Radev. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.

  6. ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

    2019 · Proceedings of the AAAI Conference on Artificial Intelligence

    Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article’s impacts on research community. This paper provides novel solutions to these two challenges. We 1) develop …