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SCUNLP-1 at the NTCIR-17 FinArg-1 Task:Enhancing Classification Prediction through Feature Generation Based on ChatGPT
This paper will provide a comprehensive overview of our participation in two shared tasks of NTCIR17 FinArg-1: Argument-based Sentiment Analysis (Earning Calls), including Argument Unit Classification (ECCAC) and Argument Relation Detection and Classification (ECCAR). We submitted three rounds of predictions for each task during the final evaluation. The study was to determine whether a sentence acted as a premise and predict its sentiment as none, support, or attack. Our proposed solution involves gathering insights through conversations with large language models. In both tasks, we categorized questions into two distinct types: those directly addressing classification categories and those about assessing financial market relevance. These questions were approached from three perspectives: the general public, professional financial market investors, or without specifying a particular view. These insights are then integrated into the features for model prediction. The experimentation mainly consisted of two scenarios: using only the original data and employing both the original data and ChatGPT’s answers during training. Ultimately, we discovered that incorporating ChatGPT’s responses alongside the original data yielded the highest scores in both tasks, surpassing other experimental configurations that relied solely on either the original data or ChatGPT alone. In the task of ECCAC, a 71.07% Macro-F1 was attained, while ECCAR yielded a score of 54.60% in Macro-F1. Although the performance in the ECCAC task did not significantly surpass other versions, it remained the most successful among the submitted versions.conference pape
Overview of NTCIR-17
This is an overview of NTCIR-17, the seventeenth sesquiannual research project for evaluating information access technologies. NTCIR-17 involved various evaluation tasks related to information retrieval, natural language processing, question answering, etc. 9 tasks were organized in NTCIR-17. This paper describes an outline of NTCIR-17, which includes its organization, schedule, scope, and task designs. In addition, we introduce brief statistics of the NTCIR-17 participants. Readers should refer to individual task overview papers for their detailed descriptions and findings.conference pape
大学図書館の現状と課題
研修名:2023年度大学図書館職員短期研修
開催期間:2023年10月17日(火)~10月20日(金)
主催:東京大学附属図書館、京都大学附属図書館、国立情報学研究所othe
大学図書館における目録実務とその周辺
研修名:2023年度大学図書館職員短期研修
開催期間:2023年10月17日(火)~10月20日(金)
主催:東京大学附属図書館、京都大学附属図書館、国立情報学研究所othe
ダイ 38 カイ コレカラ ノ ガクジュツ ジョウホウ システム コウチク ケントウ イインカイ ギジヨウシ
会議名:第38回 これからの学術情報システム構築検討委員会
開催場所:オンライン
日時:2023年12月6日(水)14:30~16:30conference outpu
SPARC Japan セミナー2022「電子ジャーナルの転換契約とAPC問題で変わるオープンアクセスの現状と課題」オープンアクセスの実現手段としての機関リポジトリ 発表資料
SPARC Japan セミナー2022「電子ジャーナルの転換契約とAPC問題で変わるオープンアクセスの現状と課題」
開催場所:オンライン開催
日時:2023年2月17日(金)13:00-17:00conference objec
SPARC Japan Seminar 2022 "Current Status and Challenges of Open Access Affected by E-Journal Transformative Agreement and the APC Issues" The History of SPARC and the Transformation of Open Access Presentation Material
SPARC Japan セミナー2022「電子ジャーナルの転換契約とAPC問題で変わるオープンアクセスの現状と課題」
開催場所:オンライン開催
日時:2023年2月17日(金)13:00-17:00conference objec
SPARC Japan セミナー2022 「電子ジャーナルの転換契約とAPC問題で変わるオープンアクセスの現状と課題」 オープンアクセスを実現する方法としてのSCOAP3国際連携プロジェクト ドキュメント
SPARC Japan セミナー2022「電子ジャーナルの転換契約とAPC問題で変わるオープンアクセスの現状と課題」
開催場所:オンライン開催
日時:2023年2月17日(金)13:00-17:00conference objec