Yingying Wang


2023

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CCL23-Eval任务1总结报告:古籍命名实体识别(GuNER2023)(Overview of CCL23-Eval Task 1: Named Entity Recognition in Ancient Chinese Books)
Qi Su (祺苏,) | Yingying Wang (王莹莹) | Zekun Deng (邓泽琨) | Hao Yang (杨浩) | Jun Wang (王军)
Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“第23届中国计算语言学大会(CCL)提出了中文信息处理方面的10个评测任务。其中,任务1为古籍命名实体识别评测,由北京大学数字人文研究中心、北京大学人工智能研究院组织。该任务的主要目标是自动识别古籍文本中事件基本构成要素的重要实体,以提供对古汉语文本进行分析处理的基础。评测发布了覆盖多个朝代和领域的”二十四史”评测数据集,共15万余字,包含人名、书名、官职名三种实体超万数。同时设置了封闭和开放两个赛道,聚焦于不同规格的预训练模型的应用能力。共有127支队伍报名参加了该评测任务。在封闭赛道上,参赛系统在测试集上的最佳性能达到了96.15%的F1值;在开放赛道上,最佳性能达到了95.48%的F1值。”

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CCL23-Eval 任务7总结报告: 汉语学习者文本纠错(Overview of CCL23-Eval Task: Chinese Learner Text Correction)
Hongxiang Chang | Yang Liu | Meng Xu | Yingying Wang | Cunliang Kong | Liner Yang | Yang Erhong | Maosong Sun | Gaoqi Rao | Renfen Hu | Zhenghao Liu | 鸿翔 常 | 洋 刘 | 萌 徐 | 莹莹 王 | 存良 孔 | 麟儿 杨 | 尔弘 杨 | 茂松 孙 | 高琦 饶 | 韧奋 胡 | 正皓 刘
Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)

“汉语学习者文本纠错(Chinese Learner Text Correction)评测比赛,是依托于第22届中国计算语言学大会举办的技术评测。针对汉语学习者文本,设置了多维度汉语学习者文本纠错和中文语法错误检测两个赛道。结合人工智能技术的不断进步和发展的时代背景,在两赛道下分别设置开放和封闭任务。开放任务允许使用大模型。以汉语学习者文本多维标注语料库YACLC为基础建设评测数据集,建立基于多参考答案的评价标准,构建基准评测框架,进一步推动汉语学习者文本纠错研究的发展。共38支队伍报名参赛,其中5支队伍成绩优异并提交了技术报告。”

2016

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A Multimodal Motion-Captured Corpus of Matched and Mismatched Extravert-Introvert Conversational Pairs
Jackson Tolins | Kris Liu | Yingying Wang | Jean E. Fox Tree | Marilyn Walker | Michael Neff
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents a new corpus, the Personality Dyads Corpus, consisting of multimodal data for three conversations between three personality-matched, two-person dyads (a total of 9 separate dialogues). Participants were selected from a larger sample to be 0.8 of a standard deviation above or below the mean on the Big-Five Personality extraversion scale, to produce an Extravert-Extravert dyad, an Introvert-Introvert dyad, and an Extravert-Introvert dyad. Each pair carried out conversations for three different tasks. The conversations were recorded using optical motion capture for the body and data gloves for the hands. Dyads’ speech was transcribed and the gestural and postural behavior was annotated with ANVIL. The released corpus includes personality profiles, ANVIL files containing speech transcriptions and the gestural annotations, and BVH files containing body and hand motion in 3D.

2012

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Thought De se, first person indexicals and Chinese reflexive ziji
Yingying Wang | Haihua Pan
Proceedings of the 26th Pacific Asia Conference on Language, Information, and Computation

2010

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The SAU Report for the 1st CIPS-SIGHAN-ParsEval-2010
Qiaoli Zhou | Wenjing Lang | Yingying Wang | Yan Wang | Dongfeng Cai
CIPS-SIGHAN Joint Conference on Chinese Language Processing