复盘、记录一下参加semeval2023的过程。 比赛结果在47个队伍中,我们(PAI)获得了德语和孟加拉语2个track的第1名。 任务介绍和分析 比赛名称MultiCoNER2,multi就是multi lingual多语言的意思,co是complex复杂,NER是named entity recognization命名实体识别。 如下图,是一个英文的例子,采用BIO编码每个word的实体类型。左...
英文标题:USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER中文摘要:本文提出了一种名为 SCDAG 的 SCDAG 方法用于多语言复杂命名实体识别,该方法首先使用基于统计的方法构建词表,然后通过最小化句子级别和实体级别之间 KL 散度的适应方式...
This paper describes the system developed by the USTC-NELSLIP team for SemEval-2023 Task 2 Multilingual Complex Named Entity Recognition (MultiCoNER II). A method named Statistical Construction and Dual Adaptation of Gazetteer (SCDAG) is proposed for Multilingual Complex NER. The method first utiliz...
英文标题:SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data中文摘要:这篇论文介绍了 SemEval 2023 任务 7 的结果 -- 临床试验数据的多证据自然语言推断(NLI4CT),包括两个任务:自然语言推断任务和临床试验数据的证据选择任务。英文摘要:This paper describes the results of...
⚡ 2023年9个有前途的 AI 创业方向 https://www.aiplusinfo.com/blog/9-promising-artificial-intelligence-startup-ideas-for-2023/ 2022年,AI应用全面落地开花,越来越多企业和个人在尝试将AI技术融入到日常的生产生活中。现在,是时候创建一家提供AI解决方案的企业了!这里分析汇总了2023年非常有希望的9个 AI ...
This paper explains the participation of team Hitachi to SemEval-2023 Task 3 "Detecting the genre, the framing, and the persuasion techniques in online news in a multi-lingual setup.'' Based on the multilingual, multi-task nature of the task and the low-resource setting, we investigated diff...
This task poses a significant challenge, as verifying hypotheses in the NLI4CT task requires the integration of multiple pieces of evidence from one or two CTR(s) and the application of diverse levels of reasoning, including textual and numerical. To address these problems, we present a multi-...
This paper describes our participation in SemEval-2023 Task 4, ValueEval: Identification of Human Values behind Arguments. The aim of this task is to identify whether or not an input text supports each of the 20 pre-defined human values. Previous work on human value detection has shown the ...