{"id":1992,"date":"2023-06-06T02:53:05","date_gmt":"2023-06-06T02:53:05","guid":{"rendered":"https:\/\/sigir.org\/sigir2023\/?page_id=1992"},"modified":"2023-07-22T23:34:28","modified_gmt":"2023-07-22T23:34:28","slug":"resource-papers","status":"publish","type":"page","link":"https:\/\/sigir.org\/sigir2023\/program\/accepted-papers\/resource-papers\/","title":{"rendered":"Resource papers"},"content":{"rendered":"<div id='full_slider_1'  class='avia-fullwidth-slider main_color avia-shadow   avia-builder-el-0  el_before_av_section  avia-builder-el-first   container_wrap sidebar_right'  >\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522\">\n#top #wrap_all .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-title{\nfont-size:45px;\n}\n#top .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-content{\nfont-size:25px;\n}\n#top .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-content p{\nfont-size:25px;\n}\n\n@media only screen and (max-width: 479px){ \n#top #wrap_all .avia-slideshow .av-slideshow-caption.av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 .avia-caption-title{\nfont-size:30px;\n}\n}\n<\/style>\n<div  class='avia-slideshow av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522 av-control-default avia-slideshow-no scaling av_slideshow_full avia-slide-slider av-default-height-applied   avia-slideshow-1'  data-size='no scaling'  data-lightbox_size='large'  data-animation='slide'  data-conditional_play=''  data-ids='1803'  data-video_counter='0'  data-autoplay='false'  data-bg_slider='false'  data-slide_height=''  data-handle='av_slideshow_full'  data-interval='5'  data-class=''  data-extra_class=' '  data-el_id=''  data-css_id=''  data-scroll_down=''  data-control_layout='av-control-default'  data-custom_markup=''  data-perma_caption=''  data-autoplay_stopper=''  data-image_attachment=''  data-min_height='200px'  data-lazy_loading='disabled'  data-default-height='38.072916666667'  data-stretch=''  data-src=''  data-position='top left'  data-repeat='no-repeat'  data-attach='scroll'  data-img_scrset=''  data-av-desktop-hide=''  data-av-medium-hide=''  data-av-small-hide=''  data-av-mini-hide=''  data-id=''  data-custom_class=''  data-template_class=''  data-av_uid='av-l96qjn6c'  data-sc_version='1.0'  data-heading_tag=''  data-heading_class=''  data-min_width='526px'   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><ul class='avia-slideshow-inner ' style='padding-bottom: 38.072916666667%;'><li  class='avia-slideshow-slide av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0  av-single-slide slide-1 ' ><div data-rel='slideshow-1' class='avia-slide-wrap '   ><div class='av-slideshow-caption av-l96qjn6c-1741c8d27e9fc182ecd0f05e501bb522__0 caption_fullwidth caption_center'><div class=\"container caption_container\"><div class=\"slideshow_caption\"><div class=\"slideshow_inner_caption\"><div class=\"slideshow_align_caption\"><h2 class='avia-caption-title '  itemprop=\"name\" >Resource papers<\/h2><\/div><\/div><\/div><\/div><\/div><img decoding=\"async\" class=\"wp-image-1803 avia-img-lazy-loading-not-1803\"  src=\"https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711.jpg\" width=\"1920\" height=\"731\" title='\u967d\u660e\u5c711' alt=''  itemprop=\"thumbnailUrl\"  style='min-height:200px; min-width:526px; ' srcset=\"https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711.jpg 1920w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-300x114.jpg 300w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1030x392.jpg 1030w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-768x292.jpg 768w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1536x585.jpg 1536w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-1500x571.jpg 1500w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-705x268.jpg 705w, https:\/\/sigir.org\/sigir2023\/wp-content\/uploads\/2023\/05\/\u967d\u660e\u5c711-845x321.jpg 845w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><div class='av-section-color-overlay' style='opacity: 0.3; background-color: #000000; '><\/div><\/div><\/li><\/ul><\/div><\/div>\n<div id='av_section_1'  class='avia-section av-k6f88-85cfaddf41426ffd195ec3d560b0f93c main_color avia-section-default avia-no-border-styling  avia-builder-el-1  el_after_av_slideshow_full  avia-builder-el-last  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-1992'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-4908ag-d9dc8bdf6f0b427fd05141535fa618c8\">\n.flex_column.av-4908ag-d9dc8bdf6f0b427fd05141535fa618c8{\npadding:0 40px 0 40px;\n}\n<\/style>\n<div class='flex_column av-4908ag-d9dc8bdf6f0b427fd05141535fa618c8 av_one_full  avia-builder-el-2  avia-builder-el-no-sibling  first flex_column_div '   ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-35toyw-4fd8957480dc2e6140f1c7b923f4e06b\">\n#top .hr.hr-invisible.av-35toyw-4fd8957480dc2e6140f1c7b923f4e06b{\nmargin-top:-10px;\nheight:1px;\n}\n<\/style>\n<div  class='hr av-35toyw-4fd8957480dc2e6140f1c7b923f4e06b hr-invisible  avia-builder-el-3  el_before_av_textblock  avia-builder-el-first  av-small-hide av-mini-hide'><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div><br \/>\n<section  class='av_textblock_section av-lijq27bd-ce0e67529ec2b3cb825c5327ee619c20'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock text_justify'  itemprop=\"text\" ><p><strong>\u25cf T^2Ranking: A large-scale Chinese Benchmark for Passage Ranking<\/strong><br \/>\nXiaohui Xie, Qian Dong, Bingning Wang, Feiyang Lv, Ting Yao, Weinan Gan, Zhijing Wu, Xiangsheng Li, Haitao Li, Yiqun Liu, Jin Ma<\/p>\n<p><strong>\u25cf BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains<\/strong><br \/>\nPetr Babkin, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah<\/p>\n<p><strong>\u25cf Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects<\/strong><br \/>\nXinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma<\/p>\n<p><strong>\u25cf SocialDial: A Benchmark for Socially-Aware Dialogue Systems<\/strong><br \/>\nHaolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari<\/p>\n<p><strong>\u25cf U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation<\/strong><br \/>\nYuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che<\/p>\n<p><strong>\u25cf End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models<\/strong><br \/>\nBarry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang<\/p>\n<p><strong>\u25cf Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval<\/strong><br \/>\nHaochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner<\/p>\n<p><strong>\u25cf Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset<\/strong><br \/>\nArun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski<\/p>\n<p><strong>\u25cf Introducing MBIB &#8211; the first Media Bias Identification Benchmark Task and Dataset Collection<\/strong><br \/>\nMartin Wessel, Tom\u00e1\u0161 Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde<\/p>\n<p><strong>\u25cf MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce<\/strong><br \/>\nNolwenn Bernard, Krisztian Balog<\/p>\n<p><strong>\u25cf Towards Explainable Conversational Recommender Systems<\/strong><br \/>\nShuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren<\/p>\n<p><strong>\u25cf The JOKER Corpus: English\u2013French Parallel Data for Multilingual Wordplay Recognition<\/strong><br \/>\nLiana Ermakova, Anne-Gwenn Bosser, Adam Jatowt, Tristan Miller<\/p>\n<p><strong>\u25cf Form-NLU: Dataset for the Form Natural Language Understanding<\/strong><br \/>\nYihao Ding, Siqu Long, Jiabin Huang, Kaixuan Ren, Xingxiang Luo, Hyunsuk Chung, Soyeon Caren Han<\/p>\n<p><strong>\u25cf MMEAD: MS MARCO Entity Annotations and Disambiguations<\/strong><br \/>\nChris Kamphuis, Aileen Lin, Siwen Yang, Jimmy Lin, Arjen P. de Vries, Faegheh Hasibi<\/p>\n<p><strong>\u25cf The Information Retrieval Experiment Platform<\/strong><br \/>\nMaik Fr\u00f6be, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast<\/p>\n<p><strong>\u25cf Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems<\/strong><br \/>\nLanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen<\/p>\n<p><strong>\u25cf The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives<\/strong><br \/>\nJan Heinrich Reimer, Sebastian Schmidt, Maik Fr\u00f6be, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast<\/p>\n<p><strong>\u25cf GammaGL: A Multi-Backend Library for Graph Neural Networks<\/strong><br \/>\nYaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi<\/p>\n<p><strong>\u25cf tieval: An Evaluation Framework for Temporal Information Extraction Systems<\/strong><br \/>\nHugo Sousa, Ricardo Campos, Al\u00edpio M\u00e1rio Jorge<\/p>\n<p><strong>\u25cf HC3: A Suite of Test Collections for CLIR Evaluation over Informal Text<\/strong><br \/>\nDawn Lawrie, James Mayfield, Douglas W. Oard, Eugene Yang, Suraj Nair, Petra Galu\u0161\u010d\u00e1kov\u00e1<\/p>\n<p><strong>\u25cf RecStudio: Towards a Highly-Modularized Recommender System<\/strong><br \/>\nDefu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Yankai Wang, Haoran Jin, Rui Fan, Xingmei Wang, Zheng Liu, Le Wu, Enhong Chen<\/p>\n<p><strong>\u25cf MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media<\/strong><br \/>\nXuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip Yu<\/p>\n<p><strong>\u25cf BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis<\/strong><br \/>\nDavid Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie Mitchell<\/p>\n<p><strong>\u25cf MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive<\/strong> Student Modeling in MOOCs<br \/>\nJifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang<\/p>\n<p><strong>\u25cf RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System<\/strong><br \/>\nKai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan<\/p>\n<p><strong>\u25cf JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions<\/strong><br \/>\nJiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu<\/p>\n<p><strong>\u25cf iQPP: A Benchmark for Image Query Performance Prediction<\/strong><br \/>\nEduard Poesina, Radu Tudor Ionescu, Josiane Mothe<\/p>\n<p><strong>\u25cf SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval<\/strong><br \/>\nNandan Thakur, Kexin Wang, Iryna Gurevych, Jimmy Lin<\/p>\n<p><strong>\u25cf AToMiC: An Image\/Text Retrieval Test Collection to Support Multimedia Content Creation<\/strong><br \/>\nJheng-Hong Yang, Carlos Lassance, St\u00e9phane Clinchant, Rafael Sampaio De Rezende, Miriam Redi, Krishna Srinivasan, Jimmy Lin<\/p>\n<p><strong>\u25cf DICE: a Dataset of Italian Crime Event news<\/strong><br \/>\nGiovanni Bonisoli, Maria Pia Di Buono, Laura Po, Federica Rollo<\/p>\n<p><strong>\u25cf BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression<\/strong><br \/>\nAnxo P\u00e9rez, Javier Parapar, \u00c1lvaro Barreiro, Silvia L\u00f3pez-Larrosa<\/p>\n<p><strong>\u25cf MobileRec: A Large Scale Dataset for Mobile Apps Recommendation<\/strong><br \/>\nM.H. Maqbool, Umar Farooq, Adib Mosharrof, A.B. Siddique, Hassan Foroosh<\/p>\n<p><strong>\u25cf MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering<\/strong><br \/>\nYang Bai, Anthony Colas, Daisy Zhe Wang<\/p>\n<p><strong>\u25cf RiverText: A Python Library for Training and Evaluating Incremental Word Embeddings from Text Data Streams<\/strong><br \/>\nGabriel Iturra-Bocaz, Felipe Bravo-Marquez<\/p>\n<p><strong>\u25cf FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning<\/strong><br \/>\nPenghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng<\/p>\n<p><strong>\u25cf The BETTER Cross-Language Datasets<\/strong><br \/>\nIan Soboroff<\/p>\n<p><strong>\u25cf REFinD: Relation Extraction Financial Dataset<\/strong><br \/>\nSimerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, Sameena Shah<\/p>\n<p><strong>\u25cf Linked-DocRED \u2013 Enhancing DocRED with Entity-Linking to Evaluate End-To-End Document-Level Information Extraction Pipelines<\/strong><br \/>\nPierre-Yves Genest, Pierre-Edouard Portier, El\u00f6d Egyed-Zsigmond, Martino Lovisetto<\/p>\n<p><strong>\u25cf DECAF: A Modular and Extensible Conversational Search Framework<\/strong><br \/>\nMarco Alessio, Guglielmo Faggioli, Nicola Ferro<\/p>\n<p><strong>\u25cf LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation<\/strong><br \/>\nPetra Galu\u0161\u010d\u00e1kov\u00e1, Romain Deveaud, Gabriela Gonz\u00e1lez S\u00e1ez, Philippe Mulhem, Lorraine Goeuriot, Martin Popel, Florina Piroi<\/p>\n<\/div><\/section><\/p><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_1'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-1992'><div class='entry-content-wrapper clearfix'>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":0,"parent":1979,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1992","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/pages\/1992","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/comments?post=1992"}],"version-history":[{"count":7,"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/pages\/1992\/revisions"}],"predecessor-version":[{"id":2364,"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/pages\/1992\/revisions\/2364"}],"up":[{"embeddable":true,"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/pages\/1979"}],"wp:attachment":[{"href":"https:\/\/sigir.org\/sigir2023\/wp-json\/wp\/v2\/media?parent=1992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}