NIST TAC Knowledge Base Population (KBP2020) Entity Discovery and Linking Track
Overview Papers and Tutorials:
[14] Avirup Sil, Heng Ji, Dan Roth and Silviu-Petru Cuverzan. 2018. Multi-lingual Entity Discovery and Linking. Proc. The 56th Annual Meeting of the Association for Computational Linguistics (ACL2020) Tutorial [13] Heng Ji and Joel Nothman. 2016. Overview of TAC-KBP2016 Tri-lingual EDL and Its Impact on End-to-End KBP. Proc. Text Analysis Conference (TAC2016). paper. slides . KBP2017 planning slides . [12] Xiang Ren, Ahmed El-Kishky, Heng Ji and Jiawei Han. Automatic Entity Recognition and Typing in Massive Text Data. Tutorial at ACM International Conference on Management of Data (SIGMOD2016). [11] Heng Ji, Joel Nothman and Ben Hachey. 2015. Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking. Proc. Text Analysis Conference (TAC2015). paper. slides. KBP2016 planning slides. [10] Heng Ji. 2015. From Mono-lingual to Cross-lingual: state-of-the-art EDL. Invited Talk at JHU HLT-COE. [9] Heng Ji, Joel Nothman and Ben Hachey. 2014. Overview of TAC-KBP2014 Entity Discovery and Linking Tasks. Proc. Text Analysis Conference (TAC2014). paper. slides. [8] Dan Roth, Heng Ji, Ming-Wei Chang and Taylor Cassidy. 2014. Wikification and Beyond: The Challenges of Entity and Concept Grounding. Tutorial at the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). description. slides pdf. slides pptx. book. [7] Edgar Meij, Krisztian Balog and Dann Odijk. 2014. Entity Linking and Retrieval. Tutorial at WSDM2014, SIGIR2013, YSS2013 and WWW2013. [6] Roberto Navigli and Andrea Moro. 2014. Multilingual Word Sense Disambiguation and Entity Linking. Tutorial at COLING2014. [5] Heng Ji, Ralph Grishman and Hoa Trang Dang. 2011. Overview of the TAC 2011 Knowledge Base Population Track. In Text Analysis Conference (TAC) 2011. [4] Heng Ji, Ralph Grishman, Hoa Trang Dang, Kira Griffitt and Joe Ellis. 2010. Overview of the TAC 2010 Knowledge Base Population Track. In Text Analysis Conference (TAC) 2010. [3] Heng Ji and Ralph Grishman. 2011. Knowledge Base Population: Successful Approaches and Challenges. Proc. ACL2011. [2] Paul McNamee and Hoa Trang Dang. 2009. Overview of the TAC 2009 knowledge base population track. Proc. Text Analysis Conference (TAC) 2009. [1] Wei Shen, Jianyong Wang, Jiawei Han. 2014. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions. IEEE TDKE. 2020 [1*] Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki and Kentaro Inui. 2020. Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. ACL. 2019 [4*] Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo and William Yang Wang. 2019. Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL. [3*] Rasha Obeidat, Xiaoli Fern, Hamed Shahbazi and Prasad Tadepalli. 2019. Description-Based Zero-shot Fine-Grained Entity Typing. EMNLP. [2*] Hailong Jin, Lei Hou, Juanzi Li and Tiansi Dong. 2019. Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks. EMNLP. [1*] Ying Lin and Heng Ji. 2019. An Attentive Fine-Grained Entity Typing Model with Latent Type Representation. EMNLP. 2018 [16*] Shikhar Murty, Patrick Verga, Luke Vilnis, Irena Radovanovic and Andrew McCallum. 2018. Hierarchical losses and new resources for fine-grained entity typing and linking. ACL. [15*] Ji Xin, Yankai Lin, Zhiyuan Liu, and Maosong Sun. 2018. Improving neural fine-grained entity typing with knowledge attention. AAAI. [14*] Eunsol Choi, Omer Levy, Yejin Choi and Luke Zettlemoyer. 2018. Ultra-Fine Entity Typing. ACL. [13*] Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth. 2018. Zero-Shot Open Entity Typing as Type-Compatible Grounding. COLING. [12*] Hailong Jin, Lei Hou, Juanzi Li, and Tiansi Dong. 2018. Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge Bases. COLING. [11] Shyam Upadhyay and Nitish Gupta and Dan Roth. 2018. Joint Multilingual Supervision for Cross-Lingual Entity Linking. EMNLP. [10] Xiaodong Yu and Stephen Mayhew and Mark Sammons and Dan Roth. 2018. On the Strength of Character Language Models for Multilingual Named Entity Recognition. EMNLP. [9] Ying Lin, Shengqi Yang, Veselin Stoyanov and Heng Ji. 2018. A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling. ACL. [8] Boliang Zhang, Spencer Whitehead, Lifu Huang and Heng Ji. 2018. Global Attention for Name Tagging. CONLL. [7*] Sheng Zhang, Kevin Duh and Benjamin Van Durme. 2018. Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. SEMEVAL. [6*] Peng Xu and Denilson Barbosa. 2018. Neural Fine-Grained Entity Type Classification with Hierarchy-Aware Loss. NAACL. [5] Vikas Yadav, Rebecca Sharp and Steven Bethard. 2018. Deep Affix Features Improve Neural Named Entity Recognizers. SemEval. [4] Priya Radhakrishnan, Partha Talukdar and Vasudeva Varma. 2018. ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. ACL. [3] Meizhi Ju, Makoto Miwa and Sophia Ananiadou. 2018. A Neural Layered Model for Nested Named Entity Recognition. NAACL. [2] Arzoo Katiyar and Claire Cardie. 2018. Nested Named Entity Recognition Revisited. NAACL. [1] Yi Yang, Ozan Irsoy and Kazi Shefaet Rahman. 2018. Collective Entity Disambiguation with Structured Gradient Tree Boosting. NAACL. 2017 [21*] Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui and Sebastian Riedel. 2017. Neural Architectures for Fine-grained Entity Type Classification. EACL. [20*] Maxim Rabinovich, Dan Klein. 2017. Fine-Grained Entity Typing with High-Multiplicity Assignments. IJCNLP. [19*] Ryan Cotterell and Kevin Duh. 2017. Low-Resource Named Entity Recognition with Cross-lingual, Character-Level Neural Conditional Random Fields. IJCNLP. [18*] Abhishek Abhishek, Ashish Anand and Amit Awekar. 2017. Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings. EACL. [17] Franck Dernoncourt, Ji Young Lee and Peter Szolovits. 2017. NeuroNER: an easy-to-use program for named-entity recognition based on neural networks. EMNLP. [16] Yixin Cao, Lifu Huang, Heng Ji, Xu Chen and Juanzi Li. 2017. Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding. ACL. [15] Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul. 2017. A Local Detection Approach for Named Entity Recognition and Mention Detection. ACL. [14] Motoki Sato, Hiroyuki Shindo, Ikuya Yamada and Yuji Matsumoto. 2017. Segment-Level Neural Conditional Random Fields for Named Entity Recognition. IJCNLP. [13] Sanjeev Karn, Ulli Waltinger and Hinrich Schütze. 2017. End-to-End Trainable Attentive Decoder for Hierarchical Entity Classification. EACL. [12] Nitish Gupta, Sameer Singh and Dan Roth. 2017. Entity Linking via Joint Encoding of Types, Descriptions, and Context. EMNLP. [11*] Maxim Rabinovich and Dan Klein. 2017. Fine-Grained Entity Typing with High-Multiplicity Assignments. ACL. [10] Abbas Ghaddar and Phillippe Langlais. 2017. WiNER: A Wikipedia Annotated Corpus for Named Entity Recognition. IJCNLP. [9*] Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui and Sebastian Riedel. 2017. Neural Architectures for Fine-grained Entity Type Classification. EACL. [8] Stephen Mayhew, Chen-Tse Tsai and Dan Roth. 2017. Cheap Translation for Cross-Lingual Named Entity Recognition. EMNLP. [7] Octavian-Eugen Ganea and Thomas Hofmann. 2017. Deep Joint Entity Disambiguation with Local Neural Attention. EMNLP. [6*] Yadollah Yaghoobzadeh and Hinrich Schütze. 2017. Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities. EACL. [5] Ikuya Yamada, Hiroyuki Shindo, Hideaki Takeda and Yoshiyasu Takefuji. 2017. Learning Distributed Representations of Texts and Entities from Knowledge Base. TACL. [4] Ying Lin, Shengqi Yang, Veselin Stoyanov and Heng Ji. 2017. A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling. Proc. The 56th Annual Meeting of the Association for Computational Linguistics (ACL2020). [3] Xiaoman Pan, Boliang Zhang, Jonathan May, Joel Nothman, Kevin Knight and Heng Ji. 2017. Cross-lingual Name Tagging and Linking for 282 Languages. Proc. the 55th Annual Meeting of the Association for Computational Linguistics (ACL2017). [3] Ying Lin, Chin-Yew Lin and Heng Ji. 2017. List-only Entity Linking. Proc. the 55th Annual Meeting of the Association for Computational Linguistics (ACL2017). [2*] Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao and James Hendler. 2017. Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. Big Data, Mar 2017, 5(1): 19-31 2016 [19*] Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh. 2016. Context-Dependent Fine-Grained Entity Type Tagging. [18] Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringaard and Fernando Pereira. 2016. Collective Entity Resolution with Multi-Focal Attention. Proc. ACL2016. [17] Nevena Lazic, Amarnag Subramanya, Michael Ringgaard and Fernando Pereira. 2016. Plato: A Selective Context Model for Entity Resolution. TACL. [16] Dat Ba Nguyen, Martin Theobald and Gerhard Weikum. 2016. J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features. TACL. [15] Kevin Clark and Christopher D. Manning. 2016. Improving Coreference Resolution by Learning Entity-Level Distributed Representations. Proc. ACL2016. [14] Chen-Tse Tsai and Dan Roth. 2016. Cross-lingual Wikification Using Multilingual Embeddings. Proc. NAACL2016. [13] Chen-Tse Tsai, Stephen Mayhew and Dan Roth. 2016. Cross-Lingual Named Entity Recognition via Wikification Proc. CoNLL2016. [12] Jian Ni and Radu Florian. 2016. Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping. Proc. EMNLP2016. [11*] Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, and Jiawei Han. 2016. AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. Proc. EMNLP2016. [10] Akash Bharadwaj, Chris Dyer, Jaime Carbonell and David Mortensen. 2016. Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. Proc. EMNLP2016. [9] Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou and Timothy Baldwin. 2016. Named Entity Recognition for Novel Types by Transfer Learning. Proc. EMNLP2016. [8] Avirup Sil and Radu Florian. 2016. One for All: Towards Language Independent Named Entity Linking. Proc. ACL2016. [7] Di Lu, Xiaoman Pan, Nima Pourdamghani, Heng Ji, Shih-Fu Chang and Kevin Knight. 2016. A Multi-media Approach to Cross-lingual Entity Knowledge Transfer. Proc. ACL2016. [6] Jason P.C. Chiu and Eric Nichols. 2016. Named Entity Recognition with Bidirectional LSTM-CNNs. TACL. [5] Octavian-Eugen Ganea, Marina Ganea, Aurelien Lucchi, Carsten Eickhoff, Thomas Hofmann. 2016. Probabilistic Bag of Hyperlinks Model for Entity Linking. Proc. WWW2016. slides. [4] Guillaume Lample, Miguel Ballesteros, Kazuya Kawakami, Sandeep Subramanian and Chris Dyer. 2016. Neural Architectures for Named Entity Recognition. Proc. NAACL2016. [3] Matthew Francis-Landau, Greg Durrett and Dan Klein. 2016. Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks. Proc. NAACL2016. [2] Xuezhe Ma, Zhengzhong Liu and Eduard Hovy. 2016. Unsupervised Ranking Model for Entity Coreference Resolution. Proc. NAACL2016. [1] Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight and Daniel Marcu. 2016. Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning. Proc. NAACL2016. 2015 [16*] Yadollah Yaghoobzadeh; Hinrich Schütze. 2015. Corpus-level Fine-grained Entity Typing Using Contextual Information. Proc. EMNLP2015. [15*] Luciano Del Corro; Abdalghani Abujabal; Rainer Gemulla; Gerhard Weikum. 2015. FINET: Context-Aware Fine-Grained Named Entity Typing. Proc. EMNLP2015. [14*] Dani Yogatama; Daniel Gillick; Nevena Lazic. 2015. Embedding Methods for Fine Grained Entity Type Classification. Proc. ACL2015. [13] Benjamin Heinzerling; Michael Strube. 2015. Visual Error Analysis for Entity Linking. Proc. ACL2015. [12] Gang Luo, Xiaojiang Huang, Chin-Yew Lin, Zaiqing Nie. 2015. Joint Entity Recognition and Disambiguation. Proc. EMNLP2015. [11] Sourav Dutta; Gerhard Weikum. 2015. C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking. Proc. EMNLP2015. [10] Han Wang, Jin Guang Zheng, Xiaogang Ma, Peter Fox and Heng Ji. 2015. Language and Domain Independent Entity Linking with Quantified Collective Validation. Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP2015). [9] Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji and Jie Tang. 2015. Name List Only? Target Entity Disambiguation in Short Texts. Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP2015). paper. [8] Yi Yang and Ming-Wei Chang. 2015. S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. Proc. ACL2015. [7] Jennifer D'Souza and Vincent Ng. 2015. Rule-based Entity Linking for the Biomedical Domain. Proc. ACL2015. [6] Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han and Bulent Yener. 2015. Context-aware Entity Morph Decoding. Proc. ACL2015. paper. slides. data. [5] Greg Durrett and Dan Klein. 2015. A Joint Model for Entity Analysis: Coreference, Typing, and Linking. Transactions of ACL. [4] Andrew Chisholm and Ben Hachey. 2015. Entity Disambiguation with Web Links. Transactions of ACL. [3] Adrian Benton and Mark Dredze. 2015. Entity Linking for Spoken Language. Proc. NAACL-HLT 2015. [2] Xiaoman Pan, Taylor Cassidy, Ulf Hermjakob, Heng Ji and Kevin Knight. 2015. Unsupervised Entity Linking with Abstract Meaning Representation. Proc. NAACL-HLT 2015. paper. slides. AMR EL system AMR reading&visualizing tools test data doc list AMR entity type mapping table. [1] Roi Blanco, Giuseppe Ottaviano and Edgar Meij. 2015. Fast and Space-Efficient Entity Linking in Queries. Proc. WSDM2015. 2014 [18] Yuzhe Jin, Emre Kiciman, Kuansan Wang and Ricky Loynd. Entity Linking at the Tail: Sparse Signals, Unknown Entities, and Phrase Models. Proc. WSDM2014. [17*] Chenliang Li and Aixin Sun. 2014. Fine-Grained Location Extraction from Tweets with Temporal Awareness. Proc. of SIGIR 2014. [16] Zhaochen Guo and Denilson Barbosa. 2014. Robust Entity Linking via Random Walks. Proc. CIKM2014. [15] Banda Ramadan and Peter Christen. 2014. Forest-Based Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. Proc. CIKM2014. [14] Maksim Tkatchenko and Hady Lauw. 2014. Generative Modeling of Entity Comparisons in Text. Proc. CIKM2014. [13] Jin Guang Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji. 2014. Entity Linking for Biomedical Literature. Proc. CIKM2014 Workshop on Data and Text Mining in Biomedical Informatics. [12] Ayman Alhelbawy and Robert Gaizauskas. 2014. Collective Named Entity Disambiguation using Graph Ranking and Clique Partitioning Approaches. Proc. COLING2014. [11] Zhe Zuo, Gjergji Kasneci, Toni Gruetze and Felix Naumann. 2014. BEL: Bagging for Entity Linking.; Proc. COLING2014. [10] Wei Feng, Jianyong Wang, Wei Zhang. 2014. We Can Learn Your #Hashtags: Connecting Tweets to Explicit Topics. Proc. IEEE ICDE'14. (PP:856-867) [9] Wei Shen, Jiawei Han, Jianyong Wang. 2014. A Probabilistic Model for Linking Named Entities in Web Text with Heterogeneous Information Networks. Proc. ACM SIGMOD'14. (PP:1199-1210.) [8] Ben Hachey, Joel Nothman and Will Radford. 2014. Cheap and Easy Entity Evaluation. Proc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). [7] Ayman Alhelbawy and Robert Gaizauskas. 2014. Graph Ranking for Collective Named Entity DisambiguationProc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). [6] Andrea Moro, Alessandro Roganato and Roberto Navigli. 2014. Entity Linking meets Word Sense Disambiguation: A Unified Approach. Transaction of ACL. [5] Eneko Agirre. 2014. “One Entity per Discourse” and “One Entity per Collocation” Improve Named-Entity Disambiguation. Proc. COLING2014. [4] Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis and Michel Gagnon. 2014. Mutual Disambiguation for Entity Linking. Proc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). [3] Hongzhao Huang, Yunbo Cao, Xiaojiang Huang, Heng Ji and Chin-Yew Lin. 2014. Collective Tweet Wikification based on Semi-supervised Graph Regularization. Proc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). [2] Nicholas Andrews, Jason Eisner and Mark Dredze. 2014. Robust Entity Clustering via Phylogenetic Inference. Proc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014). [1] Giuseppe Rizzo, Marieke van Erp and Raphaël Troncy. 2014. Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web. Proc. 9th International Conference on Language Resources and Evaluation (LREC'14). 2013 [24*] Ndapandula Nakashole, Tomasz Tylenda and Gerhard Weikum. 2013. Fine-grained Semantic Typing of Emerging Entities. ACL2013. [23] Chenliang Li, Aixin Sun, Anwitaman Datta. 2013. TSDW: Two-Stage Word Sense Disambiguation Using Wikipedia. Journal of the American Society for Information Science and Technology (JASIST), 64(6): 1203-1223. [22] D. Ceccarelli, C. Lucchese, S. Orlando, R. Perego, and S. Trani. 2013. Learning relatedness measures for entity linking. Proc. CIKM 2013. [21] Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis and Michel Gagnon. 2013. SemLinker System for KBP2013: A Disambiguation Algorithm based on Mutual Relations of Semantic Annotations inside a Document. Proc. Text Analysis Conference (TAC2013). [20] Yubo Chen, Guangyou Zhou, Liheng Xu, Shizhu He, Kang Liu and Jun Zhao. 2013. The CASIA Entity linking System at TAC 2013. Proc. Text Analysis Conference (TAC2013). [19] X. Cheng and D. Roth. 2013. Relational inference for wikification. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. [18] M. Cornolti, P. Ferragina, and M. Ciaramita. 2013. A Framework for Benchmarking Entity-Annotation Systems. Proceedings of the 22nd international conference on World Wide Web, WWW 2013, Rio de Janerio, Brazil, pp. 249–260. [17] Jeffrey Dalton and Laura Dietz. 2013. UMass CIIR at TAC KBP 2013 Entity Linking. Proc. Text Analysis Conference (TAC2013). [16] Jeffrey Dalton and Laura Dietz. 2013. A Neighborhood Relevance Model for Entity Linking. Proceedings of the 10th International Conference in the RIAO series (OAIR), 2013. [15] Angela Fahrni, Benjamin Heinzerling, Thierry Gockel and Michael Strube. 2013. HITS’ Monolingual and Cross-lingual Entity Linking System at TAC 2013. Proc. Text Analysis Conference (TAC2013). [14] Yuhang Guo, Bing Qin, Yuqin Li, Ting Liu, Sheng Li. 2013. Improving Candidate Generation for Entity Linking. Natural Language Processing and Information Systems. [13] B. Hachey, W. Radford, J. Nothman, M. Honnibal, and J. Curran. 2013. Evaluating entity linking with wikipedia. Artificial. Intelligence. [12] Z. He, S. Liu, Y. Song, M. Li, M. Zhou, and H. Wang. 2013. Efficient collective entity linking with stacking. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. [11] Zhengyan He, Shujie Liu, Mu Li, Ming Zhou, Houfeng Wang, Longkai Zhang. 2013. Learning Entity Representation for Entity Disambiguation. Proc. ACL2013. [10] Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han and He Li. 2013. Resolving entity morphs in censored data. Proc. ACL2013. [9] Lili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Bingduan Lin, Min Wang, Ning An. GRIAS: an Entity-Relation Graph based Framework for Discovering Entity Aliases. Proc. IEEE ICDM'13. (PP:310-319) [8] Y. Li, C. Wang, F. Han, J. Han, D. Roth, and X. Yan. 2013. Mining evidences for named entity disambiguation. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’13. [7] X. Liu, Y. Li, H. Wu, M. Zhou, F. Wei, and Y. Lu. 2013. Entity linking for tweets. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [6] Qingliang Miao, Ruiyu Fang, Yao Meng and Shu Zhang. 2013. FRDC's Cross-lingual Entity Linking System at TAC 2013. Proc. TAC2013. [5] Glen Pink, Will Radford, Will Cannings, Andrew Naoum, Joel Nothman, Daniel Tse and James R. Curran. 2013. SYDNEY CMCRC at TAC 2013. Proc. Text Analysis Conference (TAC2013). [4] W. Shen, J. Wang, P. Luo, and M. Wang. 2013. Linking named entities in tweets with knowledge base via user interest modeling. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’13. [3] Avirup Sil, Alexander Yates. 2013. Re-ranking for Joint Named-Entity Recognition and Linking. Proc. CIKM2013. [2] Zhichun Wang, Juanzi Li, Jie Tang. 2013. Boosting Cross-lingual Knowledge Linking via Concept Annotation. Proc. IJCAI 2013. [1] Dian Yu, Haibo Li, Taylor Cassidy, Qi Li, Zheng Chen and Heng Ji. 2013. RPI-BLENDER TAC-KBP2013 Knowledge Base Population System Description. Proc. Text Analysis Conference (TAC2013). 2012 [23*] Xiao Ling and Daniel S. Weld. 2012. Fine-Grained Entity Recognition. AAAI2012. [22] T. Cassidy, H. Ji, L. Ratinov, A. Zubiaga, and H. Huang. 2012. Analysis and enhancement of wikification for microblogs with context expansion. In Proceedings of COLING 2012. [21] A. Davis, A. Veloso, A. S. da Silva, W. Meira, Jr., and A. H. F. Laender. 2012. Named entity disambiguation in streaming data. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), pages 815–824. [20] G. Demartini, D. E. Difallah, and P. Cudre-Mauroux. 2012. Zencrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In The International World Wide Web Conference , pages 469–478, New York, NY, USA. ACM. [19] Laura Dietz and Jeffrey Dalton. 2012. Across-Document Neighborhood Expansion: UMass at TAC KBP 2012 Entity Linking. Proc. Text Analysis Conference (TAC2012). [18] Angela Fahrni, Thierry Gockel and Michael Strube. 2012. 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