Search Results for author: Yusuke Miyao

Found 74 papers, 14 papers with code

Bayesian Argumentation-Scheme Networks: A Probabilistic Model of Argument Validity Facilitated by Argumentation Schemes

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.

Market Comment Generation from Data with Noisy Alignments

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.

Time Series

Towards Grounding of Formulae

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.

Information Retrieval

Generating Racing Game Commentary from Vision, Language, and Structured Data

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.

An empirical analysis of existing systems and datasets toward general simple question answering

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.

Language understanding Natural Language Understanding +1

Learning with Contrastive Examples for Data-to-Text Generation

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.

Data-to-Text Generation

Predicting Event Time by Classifying Sub-Level Temporal Relations Induced from a Unified Representation of Time Anchors

no code implementations14 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).

Multi-Label Classification

Analyzing Word Embedding Through Structural Equation Modeling

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.

Word Embeddings

Does My Rebuttal Matter? Insights from a Major NLP Conference

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.

Coordinate Structures in Universal Dependencies for Head-final Languages

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.

Generating Market Comments Referring to External Resources

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.

Text Generation

Consensus-based Sequence Training for Video Captioning

no code implementations27 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.

Video Captioning

Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths

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).

General Classification Question Answering +1

Video Event Detection by Exploiting Word Dependencies from Image Captions

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.

Action Detection Event Detection +1

Typed Entity and Relation Annotation on Computer Science Papers

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.

Universal Dependencies for Japanese

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.

Challenges and Solutions for Consistent Annotation of Vietnamese Treebank

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.

Part-Of-Speech Tagging Speech Recognition

Annotation of Computer Science Papers for Semantic Relation Extrac-tion

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.

Information Retrieval Relation Extraction

Annotating Factive Verbs

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.

Natural Language Inference

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