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ditlab at the NTCIR-16 QA Lab-PoliInfo-3
Get PDFThe ditlab team participated in the QA alignment and Question Answering task of the NTCIR-16 QA Lab-PoliInfo-3 task. First, we developed a QA alignment system that associates each question to its answer by using heuristic rules to make paragraphs composed of the related sentences and by matching them. Heuristic rules were optimized for minutes. We prepared four types of features for matching. Second, we built a QA system that uses a similarity measure to find the original question similar to the question summary. The QA system then identified the answers associated with the original question using the results of the QA alignment described above. A Text-to-Text Transfer Transformer (T5) was used to summarize the associated answer.conference pape
Overview of the NTCIR-16 We Want Web with CENTRE (WWW-4) Task
Get PDFThis is an overview of the NTCIR-16 We Want Web with CENTRE (WWW-4) task, the fourth round of an evaluation series that aims to quantify the progress and reproducibility of web search algorithms in offline ad hoc retrieval settings. For WWW-4, we introduced a new English web corpus, which we named Chuweb21. Moreover, in addition to bronze relevance assessments (i.e., those given by assessors who are neither topic creators nor topic experts), we collected gold relevance assessments (i.e., those given by topic creators). We received 18 runs from 4 teams, including two runs from the organiser team. We describe the task, data, evaluation measures, and report on the official evaluation resultsconference pape
HCMUS at the NTCIR-16 RCIR Task
Get PDFThe HCMUS team participated in the RCIR (Reading Comprehension in Information Retrieval) task of the NTCIR-16. The RCIR task aims to evaluate different techniques to rank text content with useful eye tracking information. In this paper, we present our methods to solve the problem of the Comprehension-evaluation Task (CET). We follow the feature processing and engineering strategy, and we adopt different techniques, such as BERT, PCA, and AutoML, to generate output results for this task. Our best solution achieves the Spearmans correlation coefficient of 0.50846.conference pape
UTIRL at the NTCIR-16 ULTRE Task
Get PDFThe UTIRL team participated in both Offline and Online unbiased learning-to-rank (ULTR) (Chinese) subtasks of the NTCIR-16 ULTRE Task. This paper describes our implemented algorithms and analysis the official results. In the Offline ULTR subtask, we tried a newly proposed ULTR algorithm and an ensemble of ten models consisting of five different algorithms on two neural networks. In the Online ULTR subtask, we used three algorithms trained on a deep neural network.conference pape
CiNiiによるニーズベースのOA
Get PDF2022年5月31日 学術情報基盤オープンフォーラム2022, コンテンツトラック1「研究データ流通のベストプラクティスと学術基盤の役割」conference objec
SPARC Japan セミナー2021 「研究データポリシーが目指すものとは」 電気通信大学が目指す共創進化スマート社会とそのScience2.0への展開 発表資料
Get PDFSPARC Japan セミナー2021「研究データポリシーが目指すものとは」
開催場所：オンライン開催
日時：2022年2月22日（火）13:00-16:55conference objec
SPARC Japan セミナー2021 「研究データポリシーが目指すものとは」 開会挨拶/概要説明 ドキュメント
Get PDFSPARC Japan セミナー2021「研究データポリシーが目指すものとは」
開催場所：オンライン開催
日時：2022年2月22日（火）13:00-16:55conference objec
SPARC Japan セミナー2021 「研究データポリシーが目指すものとは」 総合討論（第2部）研究データに関わる各ステークホルダーとの議論 ドキュメント
Get PDFSPARC Japan セミナー2021「研究データポリシーが目指すものとは」
開催場所：オンライン開催
日時：2022年2月22日（火）13:00-16:55conference objec
SPARC Japan NewsLetter NO.45
Get PDF■ SPARC Japan Activity Reports
SPARC Japan Governing Board[p.1]
Completion of the Committee for the Promotion of Scholarly Communication[p.1]
Publication of Review of SPARC Japan Activities and Future Direction[p.2]
Support for arXiv.org[p.2]
Support for CLOCKSS[p.3]
Support for the SCOAP3[p.3]
■ SPARC Japan Seminar Report
Outline[p.4]
Presentation Abstracts and Speakers[p.5]
Panel Discussion[p.7]
Attendee Feedback[p.9]
Afterword[p.9]articl
ResourceSync Framework Specification - Change Notification
Get PDF本アイテムは「ResourceSync Framework Specification - Change Notification」を国立情報学研究所で翻訳したものである。othe