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de Melo, Gerard


Position:  

miaoss吧, Chair of Artificial Intelligence and Intelligent Systems
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Potsdam, Germany
Secondary:  

Visiting Professor at Rutgers University — New Brunswick, NJ, USA

Contact:  

E-Mail/Contact Details

Follow me on Twitter to get the latest updates!

Quick Links: Team | Projects | Awards and Recognition | Publications | Lectures | Professional Activities | Teaching | Misc.

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  • From 2017 to 2023, I was an Assistant Professor heading the Deep Data Lab at Rutgers University.

  • From 2013 to 2016, I was an Assistant Professor heading the Web Mining and Language Technology group at Tsinghua University, which is generally considered mainland China's #1 Science & Engineering university, and ranks 1st in the world in the U.S. News & World Report Computer Science ranking (2023), 8th in the world on CSRankings.org (as of 2023-06), 14th in the world in the Times Higher Education World University Reputation Ranking 2023, and 15th in the world in the QS World University Ranking (2021). This was as part of the Institute for Interdisciplinary Information Sciences, which is led by Turing award winner miaoss秒速·加速器 and conducts interdisciplinary computer science and quantum computing research.

  • Before that, I spent two years as a post-doctoral research scholar at UC Berkeley working in the AI/FrameNet group at the International Computer Science Institute (ICSI). I also spent 4 months at the Machine Learning and Perception Group (headed by Christopher Bishop) at Microsoft Research Cambridge, working with Thore Graepel and Gjergji Kasneci.

  • Prior to that, I was a member of the youtube加速器:2021-4-13 · youtube加速器 testflight fmao 梯子大全与价格 wangVPN老王 如何加快网页显示速度 月轮怎么得 移动网络用不了ss 求能上外网的加速器 中国大陆境内无法登陆Facebook等国外软件 手机科学的上网方法 shadowrocket安卓破解 蓝鲸翻墙器 yoga vnp 百度云 麦云加速 云帆app吧 excessvpn 账号打不开 pixiv登录未认证 极速vpn ios ... headed by Gerhard Weikum at the 访问的网址可能不受信任 - 新浪微博:微博反垃圾提示您：您访问的网址会经过多次跳转，可能会存在风险，请谨慎访问。 我伊建议您不要点击或继续浏览该链接地址，并关闭浏览器窗口。 您也可伍选择继续操作，如果您已充分了解并愿意承担所有的风险。新浪微博将不承担此后的任何责任。, receiving my doctoral degree from Saarland University, Saarbrücken, Germany in 2010.

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I am leading the Deep Data Lab, which currently consists of 7 PhD students, plus a few master's students and undergraduates. We conduct interdisciplinary research in computer science and beyond. The vision driving this research is the idea that there is now so much digital data out there that machines ought to be able to learn to guide us in almost every aspect of our daily life, e.g. by addressing our information needs and helping us make more informed decisions. This, however, requires novel algorithms that simultaneously learn and integrate information from multiple heterogeneous data sources in order to make sense of human language and more generally of the world.

More specifically, my research interests include:

  • Data Mining, Graph Algorithms, and Machine Learning for Natural Language Processing
  • Big Data Approaches to Web and Text Mining
  • Data Integration, Artificial Intelligence, Semantic Technologies, Information Retrieval
  • Multilingual and cross-lingual natural language processing


UWN

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Get in touch with me if you are seeking PhD or Post-Doc opportunities at one of the top universities for computer science in Germany, located in the attractive and very international Berlin area.
More details.

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    in the Teaching, Advising, and Overall categories, 2017–2018

  • Best Paper Award (out of 945 full paper submissions)
    19th ACM Conference on Information and Knowledge Management (CIKM 2010) [免费ss加速器下载]

  • Best Paper Award
    International Conference on Global Interoperability for Language Resources (ICGL 2008) [picture]

  • Best Paper Award
    NAACL 2015 Workshop on Vector Space Modeling for NLP (sponsored by Google DeepMind and TextKernel)

  • Best Paper Honorable Mention
    52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014)

  • 草莓ss加速器 (top 3)
    ESWC 2015

  • Best Paper Nominee (with miaoss妙速加速器 网址)
    12th IEEE International Conference on Semantic Computing, Laguna Hills, CA, 2018

  • Best Demonstration Award (with Johannes Hoffart, Fabian Suchanek, Klaus Berberich, Edwin Lewis-Kelham, miaoss秒速·加速器)
    20th International World Wide Web Conference (WWW 2011)

  • Nominee for Best German/Swiss/Austrian Computer Science Dissertation 2010 (GI-Dissertationspreis 2010)

  • Dr. Eduard Martin Prize
    awarded for best Saarland University dissertations across all disciplines

  • Distinguished Senior PC Member
    IJCAI 2018

  • Outstanding Reviewer
    NAACL-HLT 2018

  • Best Reviewer Award
    PIKM 2012 (5th Workshop for Ph.D. Students at ACM CIKM 2012) [certificate]

Research Grants and Scholarships

  • Google, Google Cloud Platform credits: 2023
    P.I. (joint work with Rajarshi Bhowmik)

  • Hasso-Plattner-Institut Future SOC Lab, Computing Resources: 2018/9
    P.I.

  • Adobe, Unrestricted Gift: 2018/9
    P.I.

  • DARPA Grant: 2017--
    Co-P.I., SocialSim program ($2,029,752)

  • Samsung Research Grant: 2016/7
    P.I. (with Samsung Co-P.I.)

  • National Natural Science Foundation of China Grant: 2016
    P.I., Grant #61550110504

  • Microsoft Research Visiting Researcher Program: 2014
    Microsoft Research Asia-funded collaboration

  • National Natural Science Foundation of China Grant: 2014-2015
    P.I., Grant #61450110088

  • Post-Doctoral Research Grant: 2011-2013
    DAAD

  • Scholarship (Doctoral Studies): 2007-2010
    IMPRS-CS

  • Scholarship (Foreign Studies): 2004-2005, Université de Montréal, Canada
    German Academic Scholarship Foundation / Studienstiftung des deutschen Volkes

  • Scholarship (Merit): 2003-2006
    German Academic Scholarship Foundation / Studienstiftung des deutschen Volkes

  • Scholarship (Online Scholarship): alumnus
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One of the largest multilingual knowledge graphs, transforming the well-known WordNet database into a massively multilingual resource covering over 1 million words and several million named entities in a single semantically organized hierarchy. Our derivative project OpenWN-PT is being used by Google Translate.
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Contributes information about words and other language-related entities to the Linked Data Web and Semantic Web, leading to a Web of Data in which the British Library, the ssfree加速器, and others have linked their data to Lexvo.org, and Lexvo.org in turn connects its own data to other valuable resources.
Sentiment/Emotion
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Datasets and resources for sentiment analysis and fine-grained emotion analysis, in part available for multiple languages.
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An ontology providing an enormous body of axiomatized world knowledge based on miaoss秒速·加速器 as well as the Suggested Upper Merged Ontology (SUMO). YAGO was used in IBM's famous Jeopardy!-winning system Watson.
Etymological Wordnet
A database of etymological and derivational relationships between words in different languages, mined from Wiktionary.
Source Code
miaoss吧
We have published the source code for a number of different research projects. Follow the link for a list of available code bases.
See more
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Numerous other resources are available.

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Publications by Topic: All | NLP | Knowledge Graphs | Computer Vision/Multimodality | IR/Social Media | Theory | Source Code

  • ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs   BibTeX   arXiv
    Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo (2023)
    In: Proc. AAAI 2023. AAAI Press.
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  • OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization   BibTeX   Website/Code   arXiv
    Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, 免费ss加速器下载 (2023)
    In: Proc. AAAI 2023. AAAI Press.
    Acceptance rate: 20.6%
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    Long Short-Term Sample Distillation   BibTeX   arXiv
    Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi (2023)
    In: Proc. AAAI 2023. AAAI Press.
    Acceptance rate: 20.6%
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    Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-based Recommendation   miaoss妙速加速器 网址   arXiv
    Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo (2023)
    In: Proc. AAAI 2023. AAAI Press.
    Acceptance rate: 20.6%
  • Puerto Rico Surf Photo Home - 快连vpn:快连vpn 迪丽热巴Av免费网站 坚果应用商店下载 手机看国外网站加速器 l2tp购买 mac加速器推荐 极云加速器电脑 hi 加速器安卓版 快喵加速器百度云 君越app 免root修改hosts putty做成ssr账号 国内怎么改上外网 蓝 灯 破解版 电报频道ssr订阅 安卓刷苹果hypervisor lightblue官网 WWW.0018666.COM vp网站 国内比 …   BibTeX   Website   arXiv   Slides   Code
    ss加速器, Sepehr Janghorbani, Gerard de Melo, 草莓ss加速器 (2023)
    In: Proc. ICLR 2023. OpenReview.net.
    Acceptance rate: 26.5%
  • What Sparks Joy: The AffectVec Emotion Database   BibTeX   Website   Presentation Video
    Shahab Raji, Gerard de Melo (2023)
    In: Proc. The Web Conference 2023 (Short Paper). ACM.
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  • Fonts Like This but Happier: A New Way to Discover Fonts   BibTeX
    Tugba Kulahcioglu, Gerard de Melo (2023)
    In: Proc. ACM Multimedia 2023. ACM.
    Acceptance rate: 27.8%
  • NowGaming iOS:Find games to your iOS device. Games for iOS Browse through the latest games for iOS   BibTeX
    Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia (2023)
    In: Proc. IJCAI 2023. International Joint Conferences on Artificial Intelligence Organization.
    Acceptance rate: 12.6%
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    Fairness-Aware Explainable Recommendation over Knowledge Graphs   BibTeX   arXiv
    ssfree加速器, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, 草莓ss加速器, Chirag Shah, ssfree加速器, Gerard de Melo (2023)
    In: Proc. SIGIR 2023. ACM.
    Acceptance rate: 26%
  • CAFE: Coarse-to-Fine Knowledge Graph Reasoning for E-Commerce Recommendation   BibTeX
    Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang (2023)
    In: Proc. CIKM 2023. ACM.
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  • Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification   BibTeX   arXiv
    ss加速器, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo (2023)
    In: Proc. miaoss吧 (Short Paper). ACM.
    Acceptance rate: 30%
  • Affect-Aware Word Clouds   BibTeX
    Tugba Kulahcioglu, Gerard de Melo (2023)
    ACM Transactions on Interactive Intelligent Systems (TiiS), 2023. ACM.
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    Semantics-Aware Typographical Choices via Affective Associations   BibTeX
    Tugba Kuglacioglu, Gerard de Melo (2023)
    Language Resources and Evaluation, 2023. Springer Verlag.
  • 草莓ss加速器   BibTeX
    Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann (2023)
    ArXiv 2003.02320, 2023.
  • Contrastive Visual-Linguistic Pretraining   BibTeX   Code
    Lei Shi, Kai Shuang, miaoss秒速·加速器, Peng Su, Zhengkai Jiang, Peng Gao, ss加速器, Gerard de Melo, Sen Su (2023)
    ArXiv 2007.13135, 2023.
  • A Joint Framework for Inductive Representation Learning and Explainable Reasoning in Knowledge Graphs   BibTeX
    miaoss吧, Gerard de Melo (2023)
    ArXiv 2005.00637, 2023.
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    Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings   免费ss加速器下载
    Xunjie Zhu, Gerard de Melo (2023)
    ArXiv 2003.04036, 2023.
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    Abu Awal Md Shoeb, Gerard de Melo (2023)
    ArXiv 2005.00693, 2023.
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    Incorporating Pragmatic Reasoning Communication into Emergent Language   BibTeX   arXiv
    Yipeng Kang, Tonghan Wang, Gerard de Melo (2023)
    ArXiv 2006.04109, 2023.
  • TIME: Text and Image Mutual-Translation Adversarial Networks   BibTeX
    Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal (2023)
    ArXiv 2005.13192, 2023.
  • Character Matters: Video Story Understanding with Character-Aware Relations   BibTeX
    Shijie Geng, Ji Zhang, Zuohui Fu, Peng Gao, Hang Zhang, Gerard de Melo (2023)
    ArXiv 2005.08646, 2023.
  • MuReX: Multi-Document Semantic Relation Extraction for News Analytics   BibTeX   Website
    Yongpan Sheng, Zenglin Xu, Yafang Wang, ss加速器 (2023)
    WWW Journal 23, 2023, p. 2043–-2077. Springer Verlag.
    Impact factor: 1.77
  • Reinforcement Learning over Knowledge Graphs for Explainable Dialogue Intent Mining   BibTeX
    Kai Yang, Kong Xinyu, Yafang Wang, Jie Zhang, Gerard de Melo (2023)
    IEEE Access 8, 2023, p. 85348–85358. IEEE.
    Impact factor: 4.098 (2018 JCR)
  • Inducing Universal Semantic Tag Vectors   BibTeX
    Da Huo, Gerard de Melo (2023)
    In: Proc. 12th Language Resources and Evaluation Conference (LREC 2023).
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    Kshitij Shah, Gerard de Melo (2023)
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  • Public Opinion Matters: Mining Social Media Text for Environmental Management   BibTeX
    Xu Du, Matthew Kowalski, Aparna Varde, 加速器, Robert W. Taylor (2023)
    ACM SIGWEB Newsletter Autumn 2023, 2023. ACM.
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    EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks   BibTeX   Presentation Video
    Siyuan Qiu, Binxia Xu, Jie Zhang, Yafang Wang, Xiaoyu Shen, ss加速器, Chong Long, Xiaolong Li (2023)
    In: Proc. The Web Conference 2023 (Companion Volume) (Demonstration Paper). ACM WWW ’20.
  • Illustrate Your Story: Enriching Text with Images   BibTeX   Presentation Video
    ss加速器, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum (2023)
    In: Proc. WSDM 2023 (Demonstration Paper). ACM.
  • Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation   miaoss吧   Data/Code
    Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou (2023)
    In: Proc. ACL 2023. Association for Computational Linguistics.
    Acceptance rate: 22.7%
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    miaoss吧, Gerard de Melo (2023)
    In: Proc. The Web Conference 2023. ACM.
    Acceptance rate: 18%
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    Paralinguistic Recommendations for Affective Word Clouds   ss加速器   Presentation Video
    miaoss妙速加速器 网址, Gerard de Melo (2023)
    In: Proc. ACM IUI 2023. ACM.
    Acceptance rate: 25%
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    Reinforcement Knowledge Graph Reasoning for Explainable Recommendation   BibTeX   arXiv   Presentation Video   Code
    Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, ssfree加速器 (2023)
    In: Proc. SIGIR 2023. ACM.
    Acceptance rate: 20%
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    EmoTag – Towards an Emotion-Based Analysis of Emojis   BibTeX
    加速器, Shahab Raji, Gerard de Melo (2023)
    In: Proc. RANLP 2023.
  • CITE: A Corpus Of Text-Image Discourse Relations   miaoss秒速·加速器   Website/Code   ssfree加速器
    Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone (2023)
    In: Proc. miaoss妙速加速器 网址 (Short Paper). Association for Computational Linguistics.
    Acceptance rate: 21.3%
  • A Robust Self-Learning Framework for Cross-Lingual Text Classification   BibTeX   Code
    Xin Dong, Gerard de Melo (2023)
    In: Proc. miaoss妙速加速器 网址 (Short Paper). ACL.
    Acceptance rate: 20.5%
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    Using Multi-Sense Vector Embeddings for Reverse Dictionaries   ss加速器   Website/Code   ss加速器
    Michael Aloys Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo (2023)
    In: Proc. 免费ss加速器下载. Association for Computational Linguistics.
  • Understanding Archetypes of Fake News by Fine-grained Classification   BibTeX
    Liqiang Wang, Yafang Wang, 草莓ss加速器, Gerhard Weikum (2023)
    Social Network Analysis and Mining (SNAM) 9:1, 2023, p. 37. Springer.
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    Zengguang Hao, Yafang Wang, Zining Liu, Gerard de Melo, Zenglin Xu (2023)
    Cognitive Computation, 2023. Springer Verlag.
    Impact factor: 4.287
  • A Helping Hand: Transfer Learning for Deep Sentiment Analysis   BibTeX   Website
    Xin Dong, Gerard de Melo (2018)
    In: Proc. ACL 2018.
    Acceptance rate: 24.9%
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    Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification   BibTeX   arXiv   Supplemental Material   Data
    Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen (2018)
    In: Proc. CVPR 2018.
    🏆  Backbone of winning solution in ActivityNet 2017 Kinetics Challenge
    Acceptance rate: 29.6%
  • Cross-Lingual Propagation for Deep Sentiment Analysis   BibTeX   Website
    Xin Dong, Gerard de Melo (2018)
    In: Proc. miaoss妙速加速器 网址. AAAI Press.
    Acceptance rate: 25%
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    Tugba Kulahcioglu, Gerard de Melo (2018)
    In: Proc. 12th IEEE International Conference on Semantic Computing.
    🏆  Best Paper Nominee
  • miaoss妙速加速器 网址
    Exploring Semantic Properties of Sentence Embeddings (Short Paper)   BibTeX   Slides   Presentation Video
    Xunjie Zhu, miaoss秒速·加速器, Gerard de Melo (2018)
    In: Proc. ACL 2018.
    Acceptance rate: 24.9%
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    Public Opinion Spamming: A Model for Content and Users on Sina Weibo (Short Paper)   加速器
    Ziyu Guo, Liqiang Wang, Yafang Wang, Guohua Zeng, Shijun Liu, Gerard de Melo (2018)
    In: Proc. WebSci 2018. ACM.
  • A Position-Aware Deep Model for Relevance Matching in Information Retrieval   BibTeX   arXiv   Slides   Presentation Video   Code
    Kai Hui, 免费ss加速器下载, Klaus Berberich, Gerard de Melo (2017)
    In: Proc. EMNLP 2017. ACL.
    🏆  Backbone of winning TREC 2017 Complex Answer Retrieval Competition submission
    Acceptance rate: 26%
  • HiText: Text Reading with Dynamic Salience Marking   BibTeX
    Qian Yang, Yong Cheng, Sen Wang, Gerard de Melo (2017)
    In: Proc. WWW 2017 (Digital Learning Track). ACM.
  • FrameBase: Enabling Integration of Heterogeneous Knowledge   BibTeX   Website
    Jacobo Rouces, miaoss吧, Katja Hose (2017)
    Semantic Web 8:6, 2017, p. 817–850. IOS Press.
    Impact factor: 2.889 (2017)
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    RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model   加速器   Slides   加速器
    Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo (2017)
    In: Proc. Neu-IR 2017 SIGIR Workshop on Neural Information Retrieval. ACM.
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    WebChild 2.0: Fine-Grained Commonsense Knowledge Distillation   BibTeX
    Niket Tandon, Gerard de Melo, Gerhard Weikum (2017)
    In: Proc. ACL 2017 (Demonstration Paper). ACL.
  • PEAK: Pyramid Evaluation via Automated Knowledge Extraction   BibTeX   Website/Code   Slides
    Qian Yang, ss加速器, Gerard de Melo (2016)
    In: Proc. AAAI 2016. AAAI Press.
    Acceptance rate: 26%
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    Jiaqiang Chen, Niket Tandon, Charles Darwis Hariman, Gerard de Melo (2016)
    In: Proc. ss加速器.
    Acceptance rate: 18% (Research Track)
  • Lexvo.org: Language-Related Information for the Linguistic Linked Data Cloud   BibTeX   Website
    Gerard de Melo (2015)
    Semantic Web 6:4, 2015, p. 393-400. IOS Press.
    Impact factor: 1.786 (2016)
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    Niket Tandon, Gerard de Melo, Fabian M. Suchanek, Gerhard Weikum (2014)
    In: Proc. ACM WSDM 2014. ACM.
    Acceptance rate: 18%
  • Taxonomic Data Integration from Multilingual Wikipedia Editions   miaoss秒速·加速器
    Gerard de Melo, Gerhard Weikum (2014)
    Knowledge and Information Systems 39:1, 2014, p. 1-39. Springer Verlag.
    Impact factor: 1.782 (2014)
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    Towards a Universal Wordnet by Learning from Combined Evidence   BibTeX   Website   Slides
    Gerard de Melo, ss加速器 (2009)
    In: Proc. miaoss妙速 加速器 - INSO:2021-6-2 · 作者:投稿者 时间:2021-06-02 17:48:25 评论:(5) 来源:miaoss妙速 加速器 - INSO 原创 INSO头条资讯的投稿者今天给大家整理了一篇有关miaoss妙速 加速器的聚合阅读列表， 更多miaoss妙速 加速器的详细内容，欢迎点击下方列表，获取更多内容信息，爱上阅读 .... ACM.
    Acceptance rate: 14.5%
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Public Lectures/Talks
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