ABSTRACT
Given a text with entity links, the task of entity aspect linking is to identify which aspect of an entity is referred to in the context. For example, if a text passage mentions the entity "USA'', is USA mentioned in the context of the 2008 financial crisis, American cuisine, or else? Complementing efforts of Nanni et al (2018), we provide a large-scale test collection which is derived from Wikipedia hyperlinks in a dump from 01/01/2020. Furthermore, we offer strong baselines with results and broken-out feature sets to stimulate more research in this area.
Data, code, feature sets, runfiles and results are released under a CC-SA license and offered on our aspect linking resource web page http://www.cs.unh.edu/~dietz/eal-dataset-2020/
Supplemental Material
- Sebastian Arnold, Rudolf Schneider, Philippe Cudré-Mauroux, Felix A Gers, and Alexander Löser. 2019. SECTOR: A Neural Model for Coherent Topic Segmentation and Classification. Transactions of the Association for Computational Linguistics, Vol. 7 (2019), 169--184.Google ScholarCross Ref
- Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A Gers, and Alexander Löser. 2020. Learning Contextualized Document Representations for Healthcare Answer Retrieval. In Proceedings of The Web Conference 2020. 1332--1a343.Google ScholarDigital Library
- Niranjan Balasubramanian and Silviu Cucerzan. 2009. Automatic generation of topic pages using query-based aspect models. In Proceedings of the 18th ACM conference on Information and knowledge management. 2049--2052.Google ScholarDigital Library
- Siddhartha Banerjee and Prasenjit Mitra. 2015. Wikikreator: Improving Wikipedia Stubs Automatically. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 867--877.Google ScholarCross Ref
- Jeffrey Dalton, Laura Dietz, and James Allan. 2014. Entity Query Feature Expansion Using Knowledge Base Links. In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval (Gold Coast, Queensland, Australia) (SIGIR '14). Association for Computing Machinery, New York, NY, USA, 365--374. https://doi.org/10.1145/2600428.2609628Google ScholarDigital Library
- Laura Dietz and Jeff Dalton. 2020. Humans Optional? Automatic Large-Scale Test Collections for Entity, Passage, and Entity-Passage Retrieval. Datenbank-Spektrum (2020), 1--12.Google Scholar
- Laura Dietz and John Foley. 2019. TREC CAR Y3: Complex Answer Retrieval Overview.. In Proceedings of Text REtrieval Conference (TREC).Google Scholar
- Laura Dietz and Ben Gamari. 2020. TREC CAR 2.4: A Machine-Readable Wikipedia Dump.Google Scholar
- Besnik Fetahu, Katja Markert, and Avishek Anand. 2015. Automated News Suggestions for Populating Wikipedia Entity Pages. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (Melbourne, Australia) (CIKM '15). Association for Computing Machinery, New York, NY, USA, 323--332. https://doi.org/10.1145/2806416.2806531Google ScholarDigital Library
- Xitong Liu and Hui Fang. 2015. Latent entity space: a novel retrieval approach for entity-bearing queries. Information Retrieval Journal , Vol. 18, 6 (2015), 473--503.Google ScholarDigital Library
- Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009. Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP. 1003--1011.Google ScholarDigital Library
- Federico Nanni, Simone Paolo Ponzetto, and Laura Dietz. 2018. Entity-aspect linking: providing fine-grained semantics of entities in context. In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 49--58.Google ScholarDigital Library
- Federico Nanni, Jingyi Zhang, Ferdinand Betz, and Kiril Gashteovski. 2019. EAL: A Toolkit and Dataset for Entity-Aspect Linking. (2019).Google Scholar
- Ridho Reinanda, Edgar Meij, and Maarten de Rijke. 2016. Document Filtering for Long-Tail Entities. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (Indianapolis, Indiana, USA) (CIKM '16). Association for Computing Machinery, New York, NY, USA, 771--780. https://doi.org/10.1145/2983323.2983728Google ScholarDigital Library
- Sebastian Riedel, Limin Yao, Andrew McCallum, and Benjamin M Marlin. 2013. Relation extraction with matrix factorization and universal schemas. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 74--84.Google Scholar
- Christina Sauper and Regina Barzilay. 2009. Automatically generating wikipedia articles: A structure-aware approach. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1. Association for Computational Linguistics, 208--216.Google ScholarCross Ref
- Chenyan Xiong and Jamie Callan. 2015. Query expansion with freebase. In Proceedings of the 2015 international conference on the theory of information retrieval. 111--120.Google ScholarDigital Library
Index Terms
- A Large Test Collection for Entity Aspect Linking
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