ABSTRACT
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- E. Agichtein and L. Gravano. Snowball: Extracting relations from large plain-text collections. In ACM conference on Digital libraries, 2000. Google ScholarDigital Library
- M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open information extraction from the web. In IJCAI, 2007. Google ScholarDigital Library
- R. Burke. Hybrid recommender systems: Survey and experiments. User modeling and user-adapted interaction, 12)4):331--370, 2002. Google ScholarDigital Library
- A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. R. Hruschka Jr, and T. M. Mitchell. Toward an architecture for never-ending language learning. In AAAI, 2010. Google ScholarDigital Library
- O. Etzioni, M. Cafarella, D. Downey, S. Kok, A.-M. Popescu, T. Shaked, S. Soderland, D. S. Weld, and A. Yates. Web-scale information extraction in knowitall:)preliminary results). In WWW, 2004. Google ScholarDigital Library
- A. Fader, L. Zettlemoyer, and O. Etzioni. Open question answering over curated and extracted knowledge bases. In KDD, pages 1156--1165, 2014. Google ScholarDigital Library
- G. Gawriljuk, A. Harth, C. A. Knoblock, and P. Szekely. A scalable approach to incrementally building knowledge graphs. In 20th International Conference on Theory and Practice of Digital Libraries, 2016.Google ScholarCross Ref
- R. Guha, R. McCool, and E. Miller. Semantic search. In WWW, pages 700--709, 2003. Google ScholarDigital Library
- J. Lehmann, R. Isele, M. Jakob, A. Jentzsch, D. Kontokostas, P. N. Mendes, S. Hellmann, M. Morsey, P. Van Kleef, S. Auer, et al. Dbpedia--a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web, 6)2):167--195, 2015.Google Scholar
- X. Ren, A. El-Kishky, C. Wang, F. Tao, C. R. Voss, and J. Han. Clustype: Effective entity recognition and typing by relation phrase-based clustering. In SIGKDD, 2015. Google ScholarDigital Library
- X. Ren, W. He, M. Qu, L. Huang, H. Ji, and J. Han. Afet: Automatic fine-grained entity typing by hierarchical partial-label embedding. In EMNLP, 2016.Google ScholarCross Ref
- X. Ren, W. He, M. Qu, C. R. Voss, H. Ji, and J. Han. Label noise reduction in entity typing by heterogeneous partial-label embedding. In SIGKDD, 2016. Google ScholarDigital Library
- X. Ren, Z. Wu, W. He, M. Qu, C. R. Voss, H. Ji, T. F. Abdelzaher, and J. Han. CoType: Joint extraction of typed entities and relations with knowledge bases. In WWW, 2017. Google ScholarDigital Library
- S. Riedel, L. Yao, A. McCallum, and B. M. Marlin. Relation extraction with matrix factorization and universal schemas. In NAACL, 2013.Google Scholar
- J. Shin, S. Wu, F. Wang, C. De Sa, C. Zhang, and C. Ré. Incremental knowledge base construction using deepdive. VLDB, 8)11):1310--1321, 2015. Google ScholarDigital Library
- Y. Su, H. Sun, B. Sadler, M. Srivatsa, I. Gur, Z. Yan, and X. Yan. On generating characteristic-rich question sets for qa evaluation. In EMNLP, pages 562--572, 2016.Google ScholarCross Ref
- Y. Su and X. Yan. Cross-domain semantic parsing via paraphrasing. In EMNLP, 2017.Google ScholarCross Ref
- Y. Su, S. Yang, H. Sun, M. Srivatsa, S. Kase, M. Vanni, and X. Yan. Exploiting relevance feedback in knowledge graph search. In SIGKDD, pages 1135--1144, 2015. Google ScholarDigital Library
- F. M. Suchanek, G. Kasneci, and G. Weikum. Yago: A large ontology from wikipedia and wordnet. Web Semantics: Science, Services and Agents on the World Wide Web, 6)3):203--217, 2008. Google ScholarDigital Library
- M. Taheriyan, C. Knoblock, P. Szekely, and J. L. Ambite. Leveraging linked data to discover semantic relations within data sources. In ISWC, 2016.Google ScholarCross Ref
- M. Taheriyan, C. A. Knoblock, P. Szekely, and J. L. Ambite. Learning the semantics of structured data sources. Journal of Web Semantics, 2016. Google ScholarDigital Library
- D. Vrandevcić and M. Krötzsch. Wikidata: a free collaborative knowledgebase. Communications of the ACM, 57)10):78--85, 2014. Google ScholarDigital Library
- W. Y. Wang and W. W. Cohen. Joint information extraction and reasoning: A scalable statistical relational learning approach. In ACL-IJCNLP, 2015.Google ScholarCross Ref
- W. Y. Wang and W. W. Cohen. Learning first-order logic embeddings via matrix factorization. In IJCAI, 2016. Google ScholarDigital Library
- W. Y. Wang, K. Mazaitis, and W. W. Cohen. Programming with personalized pagerank: A locally groundable first-order probabilistic logic. CIKM, 2013. Google ScholarDigital Library
- W. Y. Wang, K. Mazaitis, N. Lao, and W. W. Cohen. Efficient inference and learning in a large knowledge base. Machine Learning, pages 1--26, 2015. Google ScholarDigital Library
- L. Zhu, M. Ghasemi-Gol, P. Szekely, A. Galstyan, and C. A. Knoblock. Unsupervised entity resolution on multi-type graphs. In ISWC, 2016.Google ScholarCross Ref
- First Workshop on Knowledge Base Construction, Mining and Reasoning
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