Search Results for author: Yusuke Miyao

Found 84 papers, 18 papers with code

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.

Collection and Analysis of Travel Agency Task Dialogues with Age-Diverse Speakers

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.

Development of a Multilingual CCG Treebank via Universal Dependencies Conversion

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.

Building Dataset for Grounding of Formulae — Annotating Coreference Relations Among Math Identifiers

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.

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 Analysis

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 Retrieval

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.

Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models

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).

Semantic Role Labeling

StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning

1 code implementation16 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.

Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem

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.

Multilingual Syntax-aware Language Modeling through Dependency Tree Conversion

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.

Language Modelling

Code Generation for Unknown Libraries via Reading API Documentations

no code implementations16 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.

Code Generation

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.

Natural Language Understanding Question Answering

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.

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

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.

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.

Reinforcement Learning (RL) 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 +2

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 +2

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.

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 +1

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.

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 +1

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

Cannot find the paper you are looking for? You can Submit a new open access paper.