Note: The papers in database area (or written in database style) are marked with ๐
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Knowledge Base Construction (Demo or System) [link]
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About Domain-Specific Knowledge Bases [link]
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Named Entity Recoginition, Entity Extraction and Entity Typing [link]
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Coreference Resolution [link]
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Entity Linking and Entity Disambiguation [link]
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Entity Resolution, Entity Matching and Entity Alignment [link]
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General Relation Extraction [link]
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Open Information Extraction [link]
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Relation Linking and Relation Disambiguation [link]
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Knowledge Graph Embedding, Learning, Reasoning, Rule Mining, and Path Finding [link]
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Knowledge Base Refinement (Incompleteness, Incorrectness, and Freshness) [link]
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Knowledge Fusion, Cleaning, Evaluation and Truth Discovery [link]
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Knowledge Graph Question Answering (KGQA) [link]
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Knowledge Graph Recommendation [link]
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Other Interesting Works [link]
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Good DB Papers [link]
Note: Papers from SIGMOD/VLDB/ICDE/KDD/TKDE/VLDBJ
2018 [Link]
2019 [Link]
2020 [Link]
2021 [Link]
- An introduction to knowledge graph and knowledge extraction from unstructured text. [Link]
- Information Extraction by Niranjan Balasubramanian {Slides in my Mac}
- CS 520 - Knowledge Graphs (seminar) - provided by Stanford
- OpenKG.cn
- A Collection of KG Surveys, Papers (WWW+ACL+AAAI) and Data [GitHub]
- KG STOA [GitHub]
- Awesome KG tutorials/papers/projects/communities [GitHub]
- Knowledge Graph Construction (from zero to everything, in Chinese) [GitHub]
- KG STOA (Chinese) [Zhihu]
- Tracking Progress in Natural Language Processing [GitHub]
- KG Embedding STOA [GitHub]
- Probabilistic Graphical Models: Lagrangian Relaxation Algorithms for Natural Language Processing [Slides]
- Introduction to Conditional Random Fields [Blog]
- Network Community Detection: A Review and Visual Survey [Paper]
- Section 2.3. Community Detection Techniques
- Fast unfolding of communities in large networks [Paper]
- [A discussion of the Louvain method], [wiki of the Louvein Modularity]
- How do they design the function Q: Finding and evaluating community structure in networks [Paper]
- A compendium of NP optimization problems [Paper]
- [Notes about LSH]
- [Survey about Min Hash Sketch]
- MinHash Tutorial with Python Code: [Notes] [Code]
- Must-read papers on GNN [GitHub]
- Graph-based deap learning literatures [GitHub]
- Data Management for Machine Learning Applications [Course site]
- Stanford CS224W: Machine Learning with Graphs [Course site]
- Explainability for Natural Language Processing (AAAI 2020 tutorial) [Link] [Video]
- Graph Mining & Learning (Neurips 2020 tutorial) [Link]
- Discussion about GNN (Chinese) [Link]
- Stanford CS224n: Natural Language Processing with Deep Learning [Course site]
- Clique Relaxation Models in Networks: Theory, Algorithms, and Applications [Slides]
- KG Applications in Baidu (Chinese) [Link]
- TagMe [Python API] [API] [GitHub1] [GitHub2]
- Stanford NER [Link]
- DBpedia Spotlight [Link]
- NLTK Tagger [Link]
- SpaCy [Link1] [Link2]
- EARL (including Relation Linking) [Link]
- Falcon (including Relatoin Linking) [DBpedia version] [Wikidata version]
- MonkeyLearn [Link]
- GERBIL - General Entity Annotator Benchmark [Link]
- PIKES [Link]
- Entity Disambiguation:
- MSNBC and ACE2004 [Link]
- QA:
- WebQuestions
- QA datasets summary [GitHub]
- Entity Resolution [GitHub]
- From Freebase to Wikidata: The Great Migration [Paper and useful links]
- SPASQL tutorial [Link]
- Installing and running ElasticSearch [Link]
- Open KG on COVID-19 [Link]
- BOOKNLP [Link] (Pronominal Coreference Resolution, a natural language processing pipeline that scales to books and other long documents (in English))
- Wikidata Integrator [GitHub]
- OpenTapioca [Link]
- Grakn KGLIB (Knowledge Graph Library) [GitHub]
- SPASQL server on Freebase [GitHub] [About VOS]
- LATEX Code Search [Link]