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SRCB at the NTCIR-17 MedNLP-SC Task
Get PDFOur team SRCB participated in the Social Media Adverse Drug Event Detection(SM-ADE) subtask of NTCIR-17 Medical Natural Language Processing for Social media and Clinical texts (MedNLP-SC). The task focuses on solving the problem of Adverse Drug Event (ADE) detection for social media texts in Japanese, English, German, and French, which is a multi-labeling problem aimed at expressing the positive or negative status as an ADE for 22 symptom labels respectively. In this paper, we report our approaches which can be mainly categorized into 3 types according to which task we cast the original task to, including multi-label classification, binary classification and joint entity and relation extraction. Besides, we also conduct optimizations on the approaches that rely on pre-trained transformer language models, with the support of various techniques such as continual pretraining, gradient boosting methods, and transfer learning.conference pape
ditlab at the NTCIR-17 QA Lab-PoliInfo-4 Task
Get PDFThe ditlab team participated in the Question Answering 2 subtask of the QA Lab-Poliinfo-4. First, we modified a QA Alignment system that has been developed for PoliInfo-3 QA Alignment subtask in order to make paragraphs composed of the related answer sentences. BM25 vectors were constructed for each paragraph of all answers and the target answers were selected by the question summaries and subtopics based on the cosine similarity. Second, a Text-to-Text Transfer Transformer (T5) was used to summarize the associated answer. For making fine-tuning data of T5, all data were used and the data selection based on the ROUGE scores was used.conference pape
Overview of the NTCIR-17 UFO Task
Get PDFThe goal of the NTCIR-17 UFO task is to develop techniques for extracting structured information from tabular data and documents, focusing on annual securities reports. The Non-Financial Objects in Financial Reports (UFO) task consists of two subtasks: table data extraction (TDE) and text-to-table relationship extraction (TTRE). The TDE subtask, for understanding the structure of tables in annual securities reports, classifies each cell into one of four classes. The TTRE subtask is for linking the values of the tables with a relevant sentence in the text. We present the data used for and the results of the formal run for these subtasks.conference pape
Evaluation of Generative Large Language Models
Get PDFThe goal of this panel is to inspire thinking about evaluation of generative Large Language Models (LLM) at NTCIR. This will be a discussion-focused panel, with panelists initially setting the stage with responses to a few questions, followed by a wide-ranking discussion among the panel and with the audience. We will consider the panel to be a success if some future NTCIR tasks are influenced by our discussion.conference pape
SPARC Japan セミナー2023 「即時OAに備えて：論文・データを「つかってもらう」ためのライセンス再入門」 30分でざっくり理解するオープンアクセスと著作権 発表資料
Get PDFSPARC Japan セミナー2023「即時OAに備えて：論文・データを「つかってもらう」ためのライセンス再入門」
開催場所：オンライン開催
日時：2023年11月28日（火）13:00-17:00conference objec
NACSIS-CAT/ILL Newsletter No.53
Get PDF1．これからの学術情報システム構築検討委員会の活動について[p.1]
2．2022年度 新NACSIS-CAT/ILLの変更点（2023年6月末時点）[p.2]
3．SUDOC、K10plusのガイドライン公開のお知らせ[p.2]
4．参加組織情報のメールアドレス更新のお願い[p.3]
5．メールでのお問い合わせのお願い[p.3]
6．NIIでの目録品質管理（20）[p.4]
7．ILL文献複写等料金相殺サービスの相殺結果通知書のインボイス対応について[p.6]
8．ILL文献複写等料金相殺サービス処理報告（2022年度第3四半期～2023年度第1四半期）[p.6]articl
