Search Results for author: Shinsuke Mori

Found 35 papers, 1 papers with code

Neural Text Generation with Artificial Negative Examples

no code implementations28 Dec 2020 Keisuke Shirai, Kazuma Hashimoto, Akiko Eriguchi, Takashi Ninomiya, Shinsuke Mori

In this paper, we propose to suppress an arbitrary type of errors by training the text generation model in a reinforcement learning framework, where we use a trainable reward function that is capable of discriminating between references and sentences containing the targeted type of errors.

Image Captioning Machine Translation +2

Annotating Event Appearance for Japanese Chess Commentary Corpus

no code implementations LREC 2020 Hirotaka Kameko, Shinsuke Mori

In this paper, we propose {``}Event Appearance{''} labels that show the relationship between events mentioned in texts and those happening in the real world.

Text Generation

Visual Grounding Annotation of Recipe Flow Graph

no code implementations LREC 2020 Taichi Nishimura, Suzushi Tomori, Hayato Hashimoto, Atsushi Hashimoto, Yoko Yamakata, Jun Harashima, Yoshitaka Ushiku, Shinsuke Mori

Visual grounding is provided as bounding boxes to image sequences of recipes, and each bounding box is linked to an element of the workflow.

Visual Grounding

A Contract Corpus for Recognizing Rights and Obligations

no code implementations LREC 2020 Ruka Funaki, Yusuke Nagata, Kohei Suenaga, Shinsuke Mori

Therefore, a language-processing system that can present information concerning rights and obligations found within a given contract document would help a contracting party to make better decisions.

English Recipe Flow Graph Corpus

no code implementations LREC 2020 Yoko Yamakata, Shinsuke Mori, John Carroll

For r-NE tagging we train a deep neural network NER tool; to compute flow graphs we train a dependency-style parsing procedure which we apply to the entire sequence of r-NEs in a recipe. In evaluations, our systems achieve 71. 1 to 87. 5 F1, demonstrating that our annotation scheme is learnable.

NER

Procedural Text Generation from a Photo Sequence

no code implementations WS 2019 Taichi Nishimura, Atsushi Hashimoto, Shinsuke Mori

Multimedia procedural texts, such as instructions and manuals with pictures, support people to share how-to knowledge.

Text Generation

Content Word-based Sentence Decoding and Evaluating for Open-domain Neural Response Generation

no code implementations31 May 2019 Tianyu Zhao, Shinsuke Mori, Tatsuya Kawahara

Various encoder-decoder models have been applied to response generation in open-domain dialogs, but a majority of conventional models directly learn a mapping from lexical input to lexical output without explicitly modeling intermediate representations.

Procedural Text Generation from an Execution Video

no code implementations IJCNLP 2017 Atsushi Ushiku, Hayato Hashimoto, Atsushi Hashimoto, Shinsuke Mori

In this paper, we focus on procedure execution videos, in which a human makes or repairs something and propose a method for generating procedural texts from them.

Object Recognition Text Generation +1

Analysis of the Effect of Dependency Information on Predicate-Argument Structure Analysis and Zero Anaphora Resolution

no code implementations31 May 2017 Koichiro Yoshino, Shinsuke Mori, Satoshi Nakamura

This paper investigates and analyzes the effect of dependency information on predicate-argument structure analysis (PASA) and zero anaphora resolution (ZAR) for Japanese, and shows that a straightforward approach of PASA and ZAR works effectively even if dependency information was not available.

Dependency Parsing POS

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.

Wikification for Scriptio Continua

no code implementations LREC 2016 Yugo Murawaki, Shinsuke Mori

To address this problem, we propose to define a separate task that directly links given texts to an external resource, that is, wikification in the case of Wikipedia.

Language Resource Addition Strategies for Raw Text Parsing

no code implementations LREC 2016 Atsushi Ushiku, Tetsuro Sasada, Shinsuke Mori

In Japanese, the raw text parsing is divided into three steps: word segmentation, part-of-speech tagging, and dependency parsing.

Dependency Parsing Part-Of-Speech Tagging +1

Language Resource Addition: Dictionary or Corpus?

no code implementations LREC 2014 Shinsuke Mori, Graham Neubig

The experimental results showed that the annotated sentence addition to the training corpus is better than the entries addition to the dictionary.

Active Learning Domain Adaptation +2

A Japanese Word Dependency Corpus

no code implementations LREC 2014 Shinsuke Mori, Hideki Ogura, Tetsuro Sasada

Dictionary example sentences have pronunciation annotation and cover basic vocabulary in Japanese with English sentence equivalent.

Dependency Parsing Machine Translation +1

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