@inproceedings{koyama-etal-2023-tokyo,
title = "The {T}okyo Tech and {AIST} System at the {G}en{C}hal 2022 Shared Task on Feedback Comment Generation",
author = "Koyama, Shota and
Takamura, Hiroya and
Okazaki, Naoaki",
editor = "Mille, Simon",
booktitle = "Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges",
month = sep,
year = "2023",
address = "Prague, Czechia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.inlg-genchal.11",
pages = "74--78",
abstract = "This paper describes the Tokyo Tech and AIST system in the GenChal 2022 shared task, which is the first shared task of feedback comment generation. We adopted five methods: data cleaning, fine-tuning pre-trained models, correcting errors in learners{'} sentences, appending a correcting operation, and filtering out irrelevant outputs. Our system achieved F1 = 43.4 on the test dataset.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="koyama-etal-2023-tokyo">
<titleInfo>
<title>The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Shota</namePart>
<namePart type="family">Koyama</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hiroya</namePart>
<namePart type="family">Takamura</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naoaki</namePart>
<namePart type="family">Okazaki</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2023-09</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges</title>
</titleInfo>
<name type="personal">
<namePart type="given">Simon</namePart>
<namePart type="family">Mille</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Prague, Czechia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper describes the Tokyo Tech and AIST system in the GenChal 2022 shared task, which is the first shared task of feedback comment generation. We adopted five methods: data cleaning, fine-tuning pre-trained models, correcting errors in learners’ sentences, appending a correcting operation, and filtering out irrelevant outputs. Our system achieved F1 = 43.4 on the test dataset.</abstract>
<identifier type="citekey">koyama-etal-2023-tokyo</identifier>
<location>
<url>https://aclanthology.org/2023.inlg-genchal.11</url>
</location>
<part>
<date>2023-09</date>
<extent unit="page">
<start>74</start>
<end>78</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation
%A Koyama, Shota
%A Takamura, Hiroya
%A Okazaki, Naoaki
%Y Mille, Simon
%S Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges
%D 2023
%8 September
%I Association for Computational Linguistics
%C Prague, Czechia
%F koyama-etal-2023-tokyo
%X This paper describes the Tokyo Tech and AIST system in the GenChal 2022 shared task, which is the first shared task of feedback comment generation. We adopted five methods: data cleaning, fine-tuning pre-trained models, correcting errors in learners’ sentences, appending a correcting operation, and filtering out irrelevant outputs. Our system achieved F1 = 43.4 on the test dataset.
%U https://aclanthology.org/2023.inlg-genchal.11
%P 74-78
Markdown (Informal)
[The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation](https://aclanthology.org/2023.inlg-genchal.11) (Koyama et al., INLG-SIGDIAL 2023)
ACL