Gerard de Melo

Position:
Professor, Chair of Artificial Intelligence and Intelligent Systems
Hasso Plattner Institute / University of Potsdam
Potsdam, Germany

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

Contact:
E-Mail/Contact Details

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News

I have accepted a tenured Full Professor position at the Hasso Plattner Institute, University of Potsdam (Chair for AI and Intelligent Systems). We are looking for doctoral candidates, post-docs, and visiting researchers to join our group. For many years now, the HPI has had the top-ranked CS program in Germany in the main national academic ranking (CHE). More information...
Many thanks to Google for their Google Cloud Platform credits for Rajarshi Bhowmik's work on fact-based summarization.
Many thanks to J.P. Morgan for funding my PhD advisee Xin Dong as a J.P. Morgan PhD Fellow.
Many thanks to Diffbot for their grant to support Rajarshi Bhowmik's work on deep learning models for entities.
Gave a well-received Tutorial on Word, Sentence, and Document Embedding Methods at AAAI 2019. The slides are available online.
Many thanks to Adobe for an unrestricted gift, for our research on cross-lingual representation.
Very humbled to receive the Rutgers CSGSS Best Professor Award, along with Yongfeng Zhang, in the Teaching, Advising, and Overall categories. At this point, I am not really sure I deserve this award, but I will consider this an additional reason to work hard and live up to the award in the future.
Congratulations to Tugba Kulahcioglu for her Nomination for Best Paper at the 12th IEEE International Conference on Semantic Computing, Laguna Hills, CA, 2018.
Congratulations to Xiang Long for winning the ActivityNet 2017 Kinetics challenge! Find out more about the details of the approach in our CVPR paper.
Congratulations to Xiang Long for winning the 3rd Prize ($20,000) in the Google Cloud & YouTube-8M Video Understanding Challenge! Find out more about the details of the approach in our AAAI 2018 paper.
Our deep neural information retrieval model PACRR was the backbone for the top-ranked TREC 2017 Complex Answer Retrieval submissions!
Congratulations to Qian Yang for receiving a Google Women Techmakers Scholarship!
Just found out that Google Translate is using our OpenWN-PT project. Great to see our work contributing to helping people understand each other.
Dear Students: Please contact me if you are interested in research projects related to web mining, natural language processing, or machine learning!

Curriculum Vitae

From 2017 to 2020, 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 (2020), 8th in the world on CSRankings.org (as of 2020-06), 14th in the world in the Times Higher Education World University Reputation Ranking 2019, 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 Andrew Yao 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 Databases and Information Systems Group headed by Gerhard Weikum at the Max Planck Institute for Informatics, receiving my doctoral degree from Saarland University, Saarbrücken, Germany in 2010.

Team and Research Foci

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

Join us!

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.

Grants, Awards, and Recognition

Awards

Rutgers Computer Science Graduate Student Society's Best Professor Award, along with Yongfeng Zhang
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) [certificate]
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)
Best Student Paper Nominee (top 3)
ESWC 2015
Best Paper Nominee (with Tugba Kulahcioglu)
12th IEEE International Conference on Semantic Computing, Laguna Hills, CA, 2018
Best Demonstration Award (with Johannes Hoffart, Fabian Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerhard Weikum)
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: 2020
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
e-fellows.net

Projects and Downloads

Universal Wordnet (UWN)

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.

Lexvo.org

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 Spanish National Library, and others have linked their data to Lexvo.org, and Lexvo.org in turn connects its own data to other valuable resources.

Sentiment/Emotion

Datasets and resources for sentiment analysis and fine-grained emotion analysis, in part available for multiple languages.

YAGO-SUMO Integration

An ontology providing an enormous body of axiomatized world knowledge based on YAGO 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

We have published the source code for a number of different research projects. Follow the link for a list of available code bases.

Numerous other resources are available.

Selected Publications

TIME: Text and Image Mutual-Translation Adversarial Networks BibTeX arXiv
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal (2021)
In: Proc. AAAI 2021.
Incorporating Pragmatic Reasoning Communication into Emergent Language BibTeX arXiv
Yipeng Kang, Tonghan Wang, Gerard de Melo (2020)
In: Proc. NeurIPS 2020 (Spotlight Paper).
Acceptance rate: 20% (4% for spotlight/oral)
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 (2020)
In: Proc. AAAI 2020. AAAI Press.
Acceptance rate: 20.6%
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization BibTeX Website/Code arXiv
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal (2020)
In: Proc. AAAI 2020. AAAI Press.
Acceptance rate: 20.6%
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 (2020)
In: Proc. AAAI 2020. AAAI Press.
Acceptance rate: 20.6%
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-based Recommendation BibTeX arXiv
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo (2020)
In: Proc. AAAI 2020. AAAI Press.
Acceptance rate: 20.6%
SCALOR: Generative World Models with Scalable Object Representations BibTeX Website arXiv Slides Code
Jindong Jiang, Sepehr Janghorbani, Gerard de Melo, Sungjin Ahn (2020)
In: Proc. ICLR 2020. OpenReview.net.
Acceptance rate: 26.5%
What Sparks Joy: The AffectVec Emotion Database BibTeX Website Presentation Video
Shahab Raji, Gerard de Melo (2020)
In: Proc. The Web Conference 2020 (Short Paper). ACM.
Acceptance rate: <25% (Short Papers)
Fonts Like This but Happier: A New Way to Discover Fonts BibTeX
Tugba Kulahcioglu, Gerard de Melo (2020)
In: Proc. ACM Multimedia 2020. ACM.
Acceptance rate: 27.8%
A Joint Framework for Inductive Representation Learning and Explainable Reasoning in Knowledge Graphs BibTeX Website/Code arXiv
Rajarshi Bhowmik, Gerard de Melo (2020)
In: Proc. ISWC 2020.
Acceptance rate: 22%
EmoTag1200 👍: Understanding the Association between Emojis 😄 and Emotions 😻 BibTeX arXiv
Abu Awal Md Shoeb, Gerard de Melo (2020)
In: Proc. EMNLP 2020.
Acceptance rate: 24.6%
HID: Hierarchical Multiscale Representation Learning for Information Diffusion BibTeX Code
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia (2020)
In: Proc. IJCAI 2020. International Joint Conferences on Artificial Intelligence Organization.
Acceptance rate: 12.6%
Fairness-Aware Explainable Recommendation over Knowledge Graphs BibTeX arXiv
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo (2020)
In: Proc. SIGIR 2020. ACM.
Acceptance rate: 26%
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation BibTeX arXiv Presentation Video
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang (2020)
In: Proc. CIKM 2020. ACM.
Acceptance rate: 21%
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification BibTeX arXiv Data
Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen Yang, Gerard de Melo (2020)
In: Proc. SIGIR 2020 (Short Paper). ACM.
Acceptance rate: 30%
Cross-Lingual Emotion Lexicon Induction using Representation Alignment in Low-Resource Settings BibTeX
Arun Ramachandran, Gerard de Melo (2020)
In: Proc. COLING 2020.
Sentence Analogies: Linguistic Regularities in Sentence Embeddings BibTeX arXiv
Xunjie Zhu, Gerard de Melo (2020)
In: Proc. COLING 2020.
Domain-Specific Sentiment Lexicons Induced from Labeled Documents BibTeX
SM Mazharul Islam, Xin Dong, Gerard de Melo (2020)
In: Proc. COLING 2020.
Data Augmentation for Multiclass Utterance Classification – A Systematic Study BibTeX
Binxia Xu, Siyuan Qiu, Jie Zhang, Yafang Wang, Xiaoyu Shen, Gerard de Melo (2020)
In: Proc. COLING 2020.
Query Distillation: BERT-based Distillation for Ensemble Ranking BibTeX
Wangshu Zhang, Junhong Liu, Zujie Wen, Yafang Wang, Gerard de Melo (2020)
In: Proc. COLING 2020 (Industry Track).
Interactive Question Clarification in Dialogue via Reinforcement Learning BibTeX
Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li, Gerard de Melo (2020)
In: Proc. COLING 2020 (Industry Track).
Affect-Aware Word Clouds BibTeX
Tugba Kulahcioglu, Gerard de Melo (2020)
ACM Transactions on Interactive Intelligent Systems (TiiS), 2020. ACM.
Purely Attention Based Local Feature Integration for Video Classification BibTeX
Xiang Long, Gerard de Melo, Dongliang He, Fu Li, Zhizhen Chi, Shilei Wen, Chuang Gan (2020)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
Impact factor: 17.861 (2019)
Semantics-Aware Typographical Choices via Affective Associations BibTeX
Tugba Kulahcioglu, Gerard de Melo (2020)
Language Resources and Evaluation, 2020. Springer Verlag.
MuReX: Multi-Document Semantic Relation Extraction for News Analytics BibTeX Website
Yongpan Sheng, Zenglin Xu, Yafang Wang, Gerard de Melo (2020)
WWW Journal 23, 2020, p. 2043–2077. Springer Verlag.
Impact factor: 1.77
Reinforcement Learning over Knowledge Graphs for Explainable Dialogue Intent Mining BibTeX Website
Kai Yang, Kong Xinyu, Yafang Wang, Jie Zhang, Gerard de Melo (2020)
IEEE Access 8, 2020, p. 85348–85358. IEEE.
Impact factor: 4.098 (2018 JCR)
Hydroinformatics and the Web: Analytics and Dissemination of Hydrology Data for Climate Change and Sustainability BibTeX
Drashti Pathak, Aparna S. Varde, Gerard De Melo, Clement Alo (2020)
ACM SIGWEB Newsl. Autumn, 2020. Association for Computing Machinery.
Knowledge Fusion via Joint Tensor and Matrix Factorization BibTeX
Zengguang Hao, Yafang Wang, Zining Liu, Gerard de Melo, Zenglin Xu (2020)
Cognitive Computation 12:3, 2020, p. 642–653. Springer Verlag.
Impact factor: 4.287
Knowledge Graphs BibTeX Website
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 (2020)
ArXiv 2003.02320, 2020.
Contrastive Visual-Linguistic Pretraining BibTeX Code
Lei Shi, Kai Shuang, Shijie Geng, Peng Su, Zhengkai Jiang, Peng Gao, Zuohui Fu, Gerard de Melo, Sen Su (2020)
ArXiv 2007.13135, 2020.
GitEvolve: Predicting the Evolution of GitHub Repositories BibTeX Code
Honglu Zhou, Hareesh Ravi, Carlos M. Muniz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia (2020)
ArXiv 2010.04366, 2020.
Character Matters: Video Story Understanding with Character-Aware Relations BibTeX
Shijie Geng, Ji Zhang, Zuohui Fu, Peng Gao, Hang Zhang, Gerard de Melo (2020)
ArXiv 2005.08646, 2020.
COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-Commerce BibTeX Website
Zuohui Fu, Yikun Xian, Yaxin Zhu, Yongfeng Zhang, Gerard de Melo (2020)
ArXiv 2008.09237, 2020.
Inducing Universal Semantic Tag Vectors BibTeX
Da Huo, Gerard de Melo (2020)
In: Proc. 12th Language Resources and Evaluation Conference (LREC 2020). European Language Resources Association.
Correcting the Autocorrect: Context-Aware Typographical Error Correction via Training Data Augmentation BibTeX arXiv Data
Kshitij Shah, Gerard de Melo (2020)
In: Proc. 12th Language Resources and Evaluation Conference (LREC 2020).
Facts That Matter: Dynamic Fact Retrieval for Entity-Centric Search Queries BibTeX Code
Atharva Prabhat Paranjpe, Rajarshi Bhowmik, Gerard de Melo (2020)
In: Proc. International Semantic Web Conference 2020 (ISWC 2020) (Poster Paper). CEUR-WS.
Public Opinion Matters: Mining Social Media Text for Environmental Management BibTeX
Xu Du, Matthew Kowalski, Aparna Varde, Gerard de Melo, Robert W. Taylor (2020)
ACM SIGWEB Newsletter Autumn 2019, 2020. ACM.
EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks BibTeX Presentation Video
Siyuan Qiu, Binxia Xu, Jie Zhang, Yafang Wang, Xiaoyu Shen, Gerard de Melo, Chong Long, Xiaolong Li (2020)
In: Proc. The Web Conference 2020 (Companion Volume) (Demonstration Paper). ACM WWW 2020.
Illustrate Your Story: Enriching Text with Images BibTeX Presentation Video
Sreyasi Nag Chowdhury, William Cheng, Gerard de Melo, Simon Razniewski, Gerhard Weikum (2020)
In: Proc. WSDM 2020 (Demonstration Paper). ACM.
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation BibTeX Data/Code
Zhiqiang Liu, Zuohui Fu, Jie Cao, Gerard de Melo, Yik-Cheung Tam, Cheng Niu, Jie Zhou (2019)
In: Proc. ACL 2019. Association for Computational Linguistics.
Acceptance rate: 22.7%
Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts BibTeX Website/Code arXiv
Rajarshi Bhowmik, Gerard de Melo (2019)
In: Proc. The Web Conference 2019. ACM.
Acceptance rate: 18%
Paralinguistic Recommendations for Affective Word Clouds BibTeX Presentation Video
Tugba Kulahcioglu, Gerard de Melo (2019)
In: Proc. ACM IUI 2019. ACM.
Acceptance rate: 25%
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation BibTeX arXiv Presentation Video Code
Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang (2019)
In: Proc. SIGIR 2019. ACM.
Acceptance rate: 20%
EmoTag – Towards an Emotion-Based Analysis of Emojis BibTeX
Abu Awal Md Shoeb, Shahab Raji, Gerard de Melo (2019)
In: Proc. RANLP 2019.
CITE: A Corpus Of Text-Image Discourse Relations BibTeX Website/Code arXiv
Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, Matthew Stone (2019)
In: Proc. NAACL-HLT 2019 (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 (2019)
In: Proc. EMNLP-IJCNLP 2019 (Short Paper). ACL.
Acceptance rate: 20.5%
Using Multi-Sense Vector Embeddings for Reverse Dictionaries BibTeX Website/Code arXiv
Michael Aloys Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo (2019)
In: Proc. IWCS 2019. Association for Computational Linguistics.
Understanding Archetypes of Fake News by Fine-grained Classification BibTeX
Liqiang Wang, Yafang Wang, Gerard de Melo, Gerhard Weikum (2019)
Social Network Analysis and Mining (SNAM) 9:1, 2019, p. 37. Springer.
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%
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. AAAI 2018. AAAI Press.
Acceptance rate: 25%
Predicting Semantic Signatures of Fonts BibTeX Website
Tugba Kulahcioglu, Gerard de Melo (2018)
In: Proc. 12th IEEE International Conference on Semantic Computing.
🏆 Best Paper Nominee
Exploring Semantic Properties of Sentence Embeddings (Short Paper) BibTeX Slides Presentation Video
Xunjie Zhu, Tingfeng Li, Gerard de Melo (2018)
In: Proc. ACL 2018.
Acceptance rate: 24.9%
Public Opinion Spamming: A Model for Content and Users on Sina Weibo (Short Paper) BibTeX
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, Andrew Yates, 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). International World Wide Web Conferences Steering Committee.
FrameBase: Enabling Integration of Heterogeneous Knowledge BibTeX Website
Jacobo Rouces, Gerard de Melo, Katja Hose (2017)
Semantic Web 8:6, 2017, p. 817–850. IOS Press.
Impact factor: 2.889 (2017)
RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model BibTeX Slides Code
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo (2017)
In: Proc. Neu-IR 2017 SIGIR Workshop on Neural Information Retrieval. ACM.
WebChild 2.0: Fine-Grained Commonsense Knowledge Distillation BibTeX Website
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, Rebecca J. Passonneau, Gerard de Melo (2016)
In: Proc. AAAI 2016. AAAI Press.
Acceptance rate: 26%
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge BibTeX Website
Jiaqiang Chen, Niket Tandon, Charles Darwis Hariman, Gerard de Melo (2016)
In: Proc. ISWC 2016.
Acceptance rate: 18% (Research Track)
Lexvo.org: Language-Related Information for the Linguistic Linked Data Cloud BibTeX Website Lexvo API
Gerard de Melo (2015)
Semantic Web 6:4, 2015, p. 393-400. IOS Press.
Impact factor: 1.786 (2016)
WebChild: Harvesting and Organizing Commonsense Knowledge from the Web BibTeX Website Slides
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 BibTeX Website
Gerard de Melo, Gerhard Weikum (2014)
Knowledge and Information Systems 39:1, 2014, p. 1-39. Springer Verlag.
Impact factor: 1.782 (2014)
Towards a Universal Wordnet by Learning from Combined Evidence BibTeX Website/UWN API Code Slides
Gerard de Melo, Gerhard Weikum (2009)
In: Proc. 18th ACM Conference on Information and Knowledge Management (CIKM 2009). ACM.
Acceptance rate: 14.5%

Further Information

Public Lectures/Talks

Over 50 public lectures and invited talks given at events and institutions in the US, Europe, and Asia.

[More information]

Professional Activities

Editorial board memberships, organized events, over 100 PC memberships, etc.

[More information]

Teaching

I mainly teach courses related to data science, Big Data, and Deep Learning/AI/NLP.

[More information]

Profiles

▶ LinkedIn profile
▶ Twitter
▶ FOAF file
▶ URI
▶ ORCID

Programming Languages

▶ Scala
▶ Java
▶ C#
▶ C++
▶ Python
▶ etc.

Other Interests

▶ Philosophy of Language
▶ LinkedIn group
▶ general LinkedIn group
▶ Metaphysics
▶ Epistemology
▶ LinkedIn group
▶ Learning Languages
▶ Lexical Semantics
▶ LinkedIn group
▶ Philosophy of Mind
▶ LinkedIn group

Misc.

Erdős Number:
3

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Position:	Professor, Chair of Artificial Intelligence and Intelligent Systems Hasso Plattner Institute / University of Potsdam 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!