<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="chen-etal-2022-overview">
    <titleInfo>
        <title>Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Chung-Chi</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Hen-Hsen</namePart>
        <namePart type="family">Huang</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">Hsin-Hsi</namePart>
        <namePart type="family">Chen</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2022-12</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Chung-Chi</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hen-Hsen</namePart>
            <namePart type="family">Huang</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hiroya</namePart>
            <namePart type="family">Takamura</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Hsin-Hsi</namePart>
            <namePart type="family">Chen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Abu Dhabi, United Arab Emirates (Hybrid)</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper provides an overview of the shared task, Evaluating the Rationales of Amateur Investors (ERAI), in FinNLP-2022 at EMNLP-2022. This shared task aims to sort out investment opinions that would lead to higher profit from social platforms. We obtained 19 registered teams; 9 teams submitted their results for final evaluation, and 8 teams submitted papers to share their methods. The discussed directions are various: prompting, fine-tuning, translation system comparison, and tailor-made neural network architectures. We provide details of the task settings, data statistics, participants’ results, and fine-grained analysis.</abstract>
    <identifier type="citekey">chen-etal-2022-overview</identifier>
    <identifier type="doi">10.18653/v1/2022.finnlp-1.11</identifier>
    <location>
        <url>https://aclanthology.org/2022.finnlp-1.11</url>
    </location>
    <part>
        <date>2022-12</date>
        <extent unit="page">
            <start>99</start>
            <end>103</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors
%A Chen, Chung-Chi
%A Huang, Hen-Hsen
%A Takamura, Hiroya
%A Chen, Hsin-Hsi
%Y Chen, Chung-Chi
%Y Huang, Hen-Hsen
%Y Takamura, Hiroya
%Y Chen, Hsin-Hsi
%S Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F chen-etal-2022-overview
%X This paper provides an overview of the shared task, Evaluating the Rationales of Amateur Investors (ERAI), in FinNLP-2022 at EMNLP-2022. This shared task aims to sort out investment opinions that would lead to higher profit from social platforms. We obtained 19 registered teams; 9 teams submitted their results for final evaluation, and 8 teams submitted papers to share their methods. The discussed directions are various: prompting, fine-tuning, translation system comparison, and tailor-made neural network architectures. We provide details of the task settings, data statistics, participants’ results, and fine-grained analysis.
%R 10.18653/v1/2022.finnlp-1.11
%U https://aclanthology.org/2022.finnlp-1.11
%U https://doi.org/10.18653/v1/2022.finnlp-1.11
%P 99-103

Markdown (Informal)

[Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors](https://aclanthology.org/2022.finnlp-1.11) (Chen et al., FinNLP 2022)

• Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors (Chen et al., FinNLP 2022)

ACL

• Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, and Hsin-Hsi Chen. 2022. Overview of the FinNLP-2022 ERAI Task: Evaluating the Rationales of Amateur Investors. In Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), pages 99–103, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.