no code implementations • EMNLP (sdp) 2020 • Takuto Asakura, André Greiner-Petter, Akiko Aizawa, Yusuke Miyao
Our results indicate that it is worthwhile to grow the techniques for the proposed task to contribute to the further progress of mathematical language processing.
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 • EMNLP (ArgMining) 2021 • Takahiro Kondo, Koki Washio, Katsuhiko Hayashi, Yusuke Miyao
We propose a methodology for representing the reasoning structure of arguments using Bayesian networks and predicate logic facilitated by argumentation schemes.
1 code implementation • LREC 2022 • Takuto Asakura, Yusuke Miyao, Akiko Aizawa
Therefore, coreference relations between symbols need to be identified for grounding, and the task has aspects of both description alignment and coreference analysis.
no code implementations • LREC 2022 • Michimasa Inaba, Yuya Chiba, Ryuichiro Higashinaka, Kazunori Komatani, Yusuke Miyao, Takayuki Nagai
This paper provides details of the dialogue task, the collection procedure and annotations, and the analysis on the characteristics of the dialogues and facial expressions focusing on the age of the speakers.
no code implementations • LREC 2022 • Tu-Anh Tran, Yusuke Miyao
This paper introduces an algorithm to convert Universal Dependencies (UD) treebanks to Combinatory Categorial Grammar (CCG) treebanks.
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 • NAACL (ALVR) 2021 • Wenjie Zhong, Yusuke Miyao
Controlling the generation of image captions attracts lots of attention recently.
1 code implementation • ACL 2022 • Junjie Chen, Xiangheng He, Yusuke Miyao
In this paper, we propose a mixture model-based end-to-end method to model the syntactic-semantic dependency correlation in Semantic Role Labeling (SRL).
no code implementations • 23 May 2025 • Kunhang Li, Jason Naradowsky, Yansong Feng, Yusuke Miyao
We explore Large Language Models (LLMs)' human motion knowledge through 3D avatar control.
no code implementations • 23 May 2025 • Shunsuke Kando, Yusuke Miyao, Shinnosuke Takamichi
The purpose of speech tokenization is to transform a speech signal into a sequence of discrete representations, serving as the foundation for speech language models (SLMs).
1 code implementation • 9 Mar 2025 • Tatsuro Inaba, Kentaro Inui, Yusuke Miyao, Yohei Oseki, Benjamin Heinzerling, Yu Takagi
Large Language Models (LLMs) demonstrate remarkable multilingual capabilities and broad knowledge.
no code implementations • 18 Dec 2024 • Bowen Chen, Namgi Han, Yusuke Miyao
The lack of data transparency in Large Language Models (LLMs) has highlighted the importance of Membership Inference Attack (MIA), which differentiates trained (member) and untrained (non-member) data.
1 code implementation • 16 Dec 2024 • Pratik Sutar, Jason Naradowsky, Yusuke Miyao
In this work, we pursue a data-driven approach to further our understanding of such adjectives in the context of guitar tone.
1 code implementation • 3 Oct 2024 • Junjie Chen, Xiangheng He, Yusuke Miyao, Danushka Bollegala
In this paper, we introduce a novel objective for training unsupervised parsers: maximizing the information between constituent structures and sentence semantics (SemInfo).
no code implementations • 2 Oct 2024 • Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Professionals' decisions are the focus of every field.
no code implementations • 2 Oct 2024 • Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao, Hsin-Hsi Chen
To address this deficit, our study introduces an innovative task - the identification of news-triggered opinion expressing timing.
no code implementations • 1 Oct 2024 • Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
This paper explores designing artificial organizations with professional behavior in investments using a multi-agent simulation.
no code implementations • 26 Sep 2024 • Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
This paper investigates the role of expert-designed hint in enhancing sentiment analysis on financial social media posts.
no code implementations • 25 Sep 2024 • Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Our research introduces a dual-pronged argument mining technique to improve recommendation system effectiveness, considering both professional and amateur investor perspectives.
no code implementations • 14 Sep 2024 • Taisei Katô, Yusuke Miyao
An intrinsic bias metric measures bias by examining a characteristic of vectors, while an extrinsic bias metric checks whether an NLP system trained with a word embedding is biased.
no code implementations • 3 Aug 2024 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
When engaging in conversations, dialogue agents in a virtual simulation environment may exhibit their own emotional states that are unrelated to the immediate conversational context, a phenomenon known as self-emotion.
1 code implementation • 14 Jul 2024 • Shunsuke Kando, Yusuke Miyao, Jason Naradowsky, Shinnosuke Takamichi
This paper proposes a textless method for dependency parsing, examining its effectiveness and limitations.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
no code implementations • 4 Jul 2024 • LLM-jp, :, Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Akim Mousterou, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs).
no code implementations • 31 May 2024 • Chung-Chi Chen, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao
Based on our empirical results, we further point out several unresolved issues and challenges in this research direction.
no code implementations • 19 May 2024 • Bowen Chen, Namgi Han, Yusuke Miyao
One of those behaviors is memorization, in which LLMs can generate the same content used to train them.
no code implementations • 18 Apr 2024 • Junjie Chen, Xiangheng He, Danushka Bollegala, Yusuke Miyao
Linguists identify the constituent by evaluating a set of Predicate-Argument Structure (PAS) equivalent sentences where we find the constituent appears more frequently than non-constituents (i. e., the constituent corresponds to a frequent word sequence within the sentence set).
1 code implementation • 24 Oct 2023 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
Knowing how to end and resume conversations over time is a natural part of communication, allowing for discussions to span weeks, months, or years.
1 code implementation • 29 May 2023 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
We propose the "Ask an Expert" framework in which the model is trained with access to an "expert" which it can consult at each turn.
no code implementations • 16 May 2023 • Taiga Ishii, Ryo Ueda, Yusuke Miyao
A unique feature of Recurrent Neural Networks (RNNs) is that it incrementally processes input sequences.
1 code implementation • 16 Oct 2022 • Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama
Existing automatic story evaluation methods place a premium on story lexical level coherence, deviating from human preference.
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.
1 code implementation • Findings (ACL) 2022 • Qiang Zhang, Jason Naradowsky, Yusuke Miyao
We introduce the task of implicit offensive text detection in dialogues, where a statement may have either an offensive or non-offensive interpretation, depending on the listener and context.
no code implementations • spnlp (ACL) 2022 • Shunsuke Kando, Hiroshi Noji, Yusuke Miyao
On average, the performance of our best model represents a 19 \% increase in accuracy over the worst choice across all languages.
no code implementations • 16 Feb 2022 • Koki Washio, Yusuke Miyao
Moreover, to evaluate code generation for unknown libraries and our framework, we extend an existing dataset of open-domain code generation and resplit it so that the evaluation data consist of only examples using the libraries that do not appear in the training data.
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 • COLING 2020 • Namgi Han, Goran Topic, Hiroshi Noji, Hiroya Takamura, Yusuke Miyao
Our analysis, including shifting of training and test datasets and training on a union of the datasets, suggests that our progress in solving SimpleQuestions dataset does not indicate the success of more general simple question answering.
no code implementations • 14 Aug 2020 • Fei Cheng, Yusuke Miyao
Another contribution of this work is to construct a larger event time corpus (256 news documents) with a reasonable Inter-Annotator Agreement (IAA), for the purpose of overcoming the data shortage of the existing event time corpus (36 news documents).
no code implementations • EMNLP (NLP-COVID19) 2020 • Akiko Aizawa, Frederic Bergeron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong
The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education.
no code implementations • LREC 2020 • Mayumi Bono, Rui Sakaida, Tomohiro Okada, Yusuke Miyao
This paper describes a method for annotating the Japanese Sign Language (JSL) dialogue corpus.
no code implementations • LREC 2020 • Namgi Han, Katsuhiko Hayashi, Yusuke Miyao
Many researchers have tried to predict the accuracies of extrinsic evaluation by using intrinsic evaluation to evaluate word embedding.
no code implementations • LREC 2020 • Binyam Ephrem Seyoum, Yusuke Miyao, Baye Yimam Mekonnen
In this paper, we compare four state-of-the-art neural network dependency parsers for the Semitic language Amharic.
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 • NAACL 2019 • Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao
We then focus on the role of the rebuttal phase, and propose a novel task to predict after-rebuttal (i. e., final) scores from initial reviews and author responses.
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 • WS 2018 • Hiroshi Kanayama, Na-Rae Han, Masayuki Asahara, Jena D. Hwang, Yusuke Miyao, Jinho D. Choi, Yuji Matsumoto
This paper discusses the representation of coordinate structures in the Universal Dependencies framework for two head-final languages, Japanese and Korean.
no code implementations • COLING 2018 • Quy Nguyen, Yusuke Miyao, Hiroshi Noji, Nhung Nguyen
Syntactic parsing plays a crucial role in improving the quality of natural language processing tasks.
1 code implementation • NAACL 2018 • Fei Cheng, Yusuke Miyao
Conventional annotation of judging temporal relations puts a heavy load on annotators.
no code implementations • 27 Dec 2017 • Sang Phan, Gustav Eje Henter, Yusuke Miyao, Shin'ichi Satoh
First we show that, by replacing model samples with ground-truth sentences, RL training can be seen as a form of weighted cross-entropy loss, giving a fast, RL-based pre-training algorithm.
no code implementations • ACL 2017 • Soichiro Murakami, Akihiko Watanabe, Akira Miyazawa, Keiichi Goshima, Toshihiko Yanase, Hiroya Takamura, Yusuke Miyao
This paper presents a novel encoder-decoder model for automatically generating market comments from stock prices.
no code implementations • ACL 2017 • Fei Cheng, Yusuke Miyao
In this work, we borrow a state-of-the-art method in relation extraction by adopting bidirectional long short-term memory (Bi-LSTM) along dependency paths (DP).
1 code implementation • EACL 2017 • Pascual Mart{\'\i}nez-G{\'o}mez, Koji Mineshima, Yusuke Miyao, Daisuke Bekki
We approach the recognition of textual entailment using logical semantic representations and a theorem prover.
no code implementations • COLING 2016 • Sang Phan, Yusuke Miyao, Duy-Dinh Le, Shin{'}ichi Satoh
We conduct extensive experiments to analyze the effectiveness of using the new dependency representation for event detection on two large-scale TRECVID Multimedia Event Detection 2013 and 2014 datasets.
no code implementations • COLING 2016 • Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama
Automatic video description generation has recently been getting attention after rapid advancement in image caption generation.
no code implementations • LREC 2016 • Takaaki Tanaka, Yusuke Miyao, Masayuki Asahara, Sumire Uematsu, Hiroshi Kanayama, Shinsuke Mori, Yuji Matsumoto
We present an attempt to port the international syntactic annotation scheme, Universal Dependencies, to the Japanese language in this paper.
1 code implementation • LREC 2016 • Yuka Tateisi, Tomoko Ohta, Sampo Pyysalo, Yusuke Miyao, Akiko Aizawa
In our scheme, mentions of entities are annotated with ontology-based types, and the roles of the entities are annotated as relations with other entities described in the text.
no code implementations • LREC 2016 • Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Silvie Cinkov{\'a}, Dan Flickinger, Jan Haji{\v{c}}, Angelina Ivanova, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}
We announce a new language resource for research on semantic parsing, a large, carefully curated collection of semantic dependency graphs representing multiple linguistic traditions.
no code implementations • LREC 2016 • Quy Nguyen, Yusuke Miyao, Ha Le, Ngan Nguyen
However, the quality of this treebank is not satisfactory and is a possible source for the low performance of Vietnamese language processing.
no code implementations • LREC 2014 • Akira Fujita, Akihiro Kameda, Ai Kawazoe, Yusuke Miyao
We introduce the organization of the Todai Robot Project and discuss its achievements.
no code implementations • LREC 2014 • Yuka Tateisi, Yo Shidahara, Yusuke Miyao, Akiko Aizawa
We designed a new annotation scheme for formalising relation structures in research papers, through the investigation of computer science papers.
no code implementations • LREC 2012 • Yuichiroh Matsubayashi, Yusuke Miyao, Akiko Aizawa
In this paper, we report our framework for creating the corpus and the current status of creating an LCS dictionary for Japanese predicates.
no code implementations • LREC 2012 • Alvin Grissom II, Yusuke Miyao
These embedded presuppositions provide implicit information about facts assumed to be true in the world, and are thus potentially valuable in areas of research such as textual entailment.