no code implementations • INLG (ACL) 2021 • Tatsuya Ishigaki, Goran Topic, Yumi Hamazono, Hiroshi Noji, Ichiro Kobayashi, Yusuke Miyao, Hiroya Takamura
In this study, we introduce a new large-scale dataset that contains aligned video data, structured numerical data, and transcribed commentaries that consist of 129, 226 utterances in 1, 389 races in a game.
no code implementations • INLG (ACL) 2020 • Yumi Hamazono, Yui Uehara, Hiroshi Noji, Yusuke Miyao, Hiroya Takamura, Ichiro Kobayashi
On top of this, we employ a copy mechanism that is suitable for referring to the content of data records in the market price data.
no code implementations • AACL (knlp) 2020 • Yuri Murayama, Lis Kanashiro Pereira, Ichiro Kobayashi
The Differentiable Neural Computer (DNC), a neural network model with an addressable external memory, can solve algorithmic and question answering tasks.
no code implementations • EMNLP (BlackboxNLP) 2021 • Lis Kanashiro Pereira, Yuki Taya, Ichiro Kobayashi
We propose a simple yet effective Multi-Layer RAndom Perturbation Training algorithm (RAPT) to enhance model robustness and generalization.
no code implementations • DCLRL (LREC) 2022 • Muxuan Liu, Ichiro Kobayashi
In Japanese, there are different expressions used in speech depending on the speaker’s and listener’s social status, called honorifics.
no code implementations • RANLP 2021 • Mayuko Kimura, Lis Kanashiro Pereira, Ichiro Kobayashi
Temporal commonsense reasoning is a challenging task as it requires temporal knowledge usually not explicit in text.
no code implementations • 27 Mar 2024 • Felix Virgo, Fei Cheng, Lis Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi
We propose a voting-driven semi-supervised approach to automatically acquire the typical duration of an event and use it as pseudo-labeled data.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi
Temporal relation classification is a pair-wise task for identifying the relation of a temporal link (TLINK) between two mentions, i. e. event, time, and document creation time (DCT).
1 code implementation • 26 Sep 2022 • Erica K. Shimomoto, Edison Marrese-Taylor, Hiroya Takamura, Ichiro Kobayashi, Hideki Nakayama, Yusuke Miyao
This paper explores the task of Temporal Video Grounding (TVG) where, given an untrimmed video and a natural language sentence query, the goal is to recognize and determine temporal boundaries of action instances in the video described by the query.
no code implementations • SemEval (NAACL) 2022 • Lis Kanashiro Pereira, Ichiro Kobayashi
We propose a multilingual adversarial training model for determining whether a sentence contains an idiomatic expression.
no code implementations • SEMEVAL 2021 • Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi
We propose an ensemble model for predicting the lexical complexity of words and multiword expressions (MWEs).
1 code implementation • NAACL 2021 • Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi
We present a simple yet effective Targeted Adversarial Training (TAT) algorithm to improve adversarial training for natural language understanding.
1 code implementation • COLING 2020 • Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao
Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e. g., {``}Nikkei gains{''} is generated when {``}Nikkei drops{''} is expected.
1 code implementation • WS 2020 • Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi
We propose an AdversariaL training algorithm for commonsense InferenCE (ALICE).
no code implementations • WS 2019 • Kasumi Aoki, Akira Miyazawa, Tatsuya Ishigaki, Tatsuya Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao
We propose a data-to-document generator that can easily control the contents of output texts based on a neural language model.
2 code implementations • ACL 2019 • Hayate Iso, Yui Uehara, Tatsuya Ishigaki, Hiroshi Noji, Eiji Aramaki, Ichiro Kobayashi, Yusuke Miyao, Naoaki Okazaki, Hiroya Takamura
We propose a data-to-text generation model with two modules, one for tracking and the other for text generation.
1 code implementation • WS 2018 • Tatsuya Aoki, Akira Miyazawa, Tatsuya Ishigaki, Keiichi Goshima, Kasumi Aoki, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao
Comments on a stock market often include the reason or cause of changes in stock prices, such as {``}Nikkei turns lower as yen{'}s rise hits exporters.
no code implementations • 19 Jan 2018 • Eri Matsuo, Ichiro Kobayashi, Shinji Nishimoto, Satoshi Nishida, Hideki Asoh
The results demonstrate that the proposed model can decode brain activity and generate descriptions using natural language sentences.