The YLI-MED Corpus: Characteristics, Procedures, and Plans
International Computer Science Institute（国际计算机科学研究所）；Lawrence Livermore National Laboratory（劳伦斯利弗莫尔国家实验室）
Julia Bernd, Damian Borth, Benjamin Elizalde, Gerald Friedland, Heather Gallagher, Luke Gottlieb, Adam Janin, Sara Karabashlieva, Jocelyn Takahashi, Jennifer Won
备注：
47 pages; 3 figures; 25 tables. Also published as ICSI Technical Report TR-15-001
The YLI Multimedia Event Detection corpus is a public-domain index of videos with annotations and computed features, specialized for research in multimedia event detection (MED), i.e., automatically identifying what's happening in a video by analyzing the audio and visual content. The videos indexed in the YLI-MED corpus are a subset of the larger YLI feature corpus, which is being developed by the International Computer Science Institute and Lawrence Livermore National Laboratory based on the Yahoo Flickr Creative Commons 100 Million (YFCC100M) dataset. The videos in YLI-MED are categorized as depicting one of ten target events, or no target event, and are annotated for additional attributes like language spoken and whether the video has a musical score. The annotations also include degree of annotator agreement and average annotator confidence scores for the event categorization of each video. Version 1.0 of YLI-MED includes 1823 "positive" videos that depict the target events and 48,138 "negative" videos, as well as 177 supplementary videos that are similar to event videos but are not positive examples. Our goal in producing YLI-MED is to be as open about our data and procedures as possible. This report describes the procedures used to collect the corpus; gives detailed descriptive statistics about the corpus makeup (and how video attributes affected annotators' judgments); discusses possible biases in the corpus introduced by our procedural choices and compares it with the most similar existing dataset, TRECVID MED's HAVIC corpus; and gives an overview of our future plans for expanding the annotation effort.
Rationalizing Medical Relation Prediction from Corpus-level Statistics
The Ohio State University（俄亥俄州立大学）；The Ohio State University Wexner Medical Center（俄亥俄州立大学韦克斯纳医学中心）；Nationwide Children’s Hospital（全国儿童医院）；Abigail Wexner Research Institute at Nationwide Children’s Hospital（全国儿童医院阿比盖尔·韦克斯纳研究所）
LiMe: a Latin Corpus of Late Medieval Criminal Sentences
Università degli Studi di Milano, Department of Italian and Supranational Public Law（米兰大学意大利与超国家公共法系）；Università degli Studi di Milano, Department of Historical Studies（米兰大学历史学系）；Università degli Studi di Milano, Department of Computer Science（米兰大学计算机科学系）
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts
Thapar Institute of Engineering & Technology（塔帕尔工程技术学院）；The Chinese University of Hong Kong（香港中文大学）；University of Petroleum And Energy Studies（石油与能源研究大学）；Indian Institute of Technology, Patna（印度理工学院巴特那分校）；Amity University Rajasthan（拉贾斯坦阿米蒂大学）；Lakehead University（湖首大学）；University of Florida（佛罗里达大学）
DLT-Corpus: A Large-Scale Text Collection for the Distributed Ledger Technology Domain
Centre for Blockchain Technologies, University College London（区块链技术中心，伦敦大学学院）；School of Informatics, University of Edinburgh（信息学院，爱丁堡大学）；Exponential Science Foundation（指数科学基金会）
Detecting Historical Turning Points in Italian Media: A Complex Systems Approach to a Diachronic News Corpus
Department of Physics and Chemistry, University of Palermo（帕尔米洛大学物理与化学系）；Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), UIB-CSIC（跨学科物理与复杂系统研究所（IFISC）， UIB-CSIC）
Aggression-annotated Corpus of Hindi-English Code-mixed Data
Dr. Bhim Rao Ambedkar University（比姆·拉奥·安贝德卡尔博士大学）；Indian Institute of Information Technology-Sricity（斯里城印度信息技术学院）；Birla Institute of Technology and Science-Pilani（贝拉理工学院皮拉尼校区）
Clinical Document Corpora -- Real Ones, Translated and Synthetic Substitutes, and Assorted Domain Proxies: A Survey of Diversity in Corpus Design, with Focus on German Text Data
Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig（莱比锡大学医学信息学、统计学与流行病学研究所）
Research Training Group AIPHES；UKP Lab Computer Science Department, Technische Universit \"a t Darmstadt www.aiphes.tu-darmstadt.de, www.ukp.tu-darmstadt.de
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients
Massachusetts Institute of Technology（麻省理工学院）；University of Massachusetts（马萨诸塞大学）；Harvard T.H. Chan School of Public Health（哈佛大学陈曾熙公共卫生学院）；Massachusetts General Hospital（麻省总医院）；Tufts University School of Medicine（塔夫茨大学医学院）；Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）；Washington University School of Medicine（华盛顿大学医学院）；Philips Research North America（飞利浦北美研究院）；Harvard University（哈佛大学）；Adobe Research（Adobe研究院）
MixSarc: A Bangla-English Code-Mixed Corpus for Implicit Meaning Identification
Department of Computer Science and Engineering, Islamic University of Technology, Dhaka, Bangladesh（伊斯兰科技大学计算机科学与工程系，达卡，孟加拉国）；Department of Computer Science, University of Illinois Chicago, Chicago, Illinois, United States of America（伊利诺伊大学芝加哥分校计算机科学系，芝加哥，伊利诺伊州，美国）
Integrating Stance Detection and Fact Checking in a Unified Corpus
MIT Computer Science and Artificial Intelligence Laboratory（麻省理工学院计算机科学与人工智能实验室）；Qatar Computing Research Institute, HBKU（哈马德·本·哈利法大学卡塔尔计算研究所）；Amazon（亚马逊）
PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
Sorbonne Université, Université Sorbonne Paris Nord, Inserm, Limics（索邦大学，索邦大学巴黎北分校，法国国家医学研究院，Limics）；Université Paris-Saclay, UVSQ, Assistance Publique-Hôpitaux de Paris, Raymond Poincaré University Hospital, Infectious Disease Department（巴黎-萨克雷大学，UVSQ，巴黎公共医院，雷诺·帕洛西大学医院，传染病部门）；Yonsei University College of Medicine, Gangnam Severance Hospital, Department of Laboratory Medicine（延世大学医学院，江南松趾医院，实验室医学部）；Assistance Publique-Hôpitaux de Paris, Department of medical information（巴黎公共医院，医学信息部门）；Health Data Hub, 75015, Paris, France（健康数据枢纽，75015，法国巴黎）；Université Paris-Saclay, CNRS, LISN, 91400, Orsay, France（巴黎-萨克雷大学，法国国家科学研究中心，LISN，91400，法国奥赛）；Université Paris-Dauphine, PSL, CNRS, CEREMADE, 75016, Paris, France（巴黎-第七大学，PSL，法国国家科学研究中心，CEREMADE，75016，法国巴黎）
AGRR-2019: A Corpus for Gapping Resolution in Russian
ABBYY（ABBYY公司）；Charles University（查理大学）；Moscow Institute of Physics and Technology（莫斯科物理技术学院）；Sberbank（俄罗斯联邦储蓄银行）；National Research University Higher School of Economics（国家研究型高等经济大学）
