The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)
Abstract
We designed and implemented TAGME, a system that is able to efficiently and judiciously augment a plain-text with pertinent hyperlinks to Wikipedia pages. The specialty of TAGME with respect to known systems [5,8] is that it may annotate texts which are short and poorly composed, such as snippets of search-engine results, tweets, news, etc.. This annotation is extremely informative, so any task that is currently addressed using the bag-of-words paradigm could benefit from using this annotation to draw upon (the millions of) Wikipedia pages and their inter-relations.
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Cites
Yago: a core of semantic knowledge
Suchanek, F. M., Kasneci, G., & Weikum, G. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242667 · Cited by 2,512
Learning to link with wikipedia
Milne, D., & Witten, I. H. (2008) · Proceedings of the 17th ACM conference on Information and knowledge management · doi:10.1145/1458082.1458150 · Cited by 1,237
Large-Scale Named Entity Disambiguation Based on Wikipedia Data
Cucerzan, S. (2007) · Cited by 1,061
Wikify!: linking documents to encyclopedic knowledge
Mihalcea, R., & Csomai, A. (2007) · Proceedings of the sixteenth ACM conference on Conference on information and knowledge management · doi:10.1145/1321440.1321475 · Cited by 909
A web-based kernel function for measuring the similarity of short text snippets
Sahami, M., & Heilman, T. D. (2006) · Proceedings of the 15th international conference on World Wide Web · doi:10.1145/1135777.1135834 · Cited by 735
Mining the Web: Discovering Knowledge from Hypertext Data
Chakrabarti, S. (2002) · Thammasat University Digital Collections · Cited by 696
An effective, low-cost measure of semantic relatedness obtained from Wikipedia links
Milne, D., & Witten, I. H. (2008) · Cited by 665
Collective annotation of Wikipedia entities in web text
Kulkarni, S., Singh, A. K., Ramakrishnan, G., & Chakrabarti, S. (2009) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1557019.1557073 · Cited by 437
A survey of Web clustering engines
Carpineto, C., Osiński, S., Romano, G., & Weiss, D. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541884 · Cited by 399
Wikipedia-based Semantic Interpretation for Natural Language Processing
Gabrilovich, E., & Markovitch, S. (2009) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2669 · Cited by 377
Cited by
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Joshi, M., Choi, E., Weld, D., & Zettlemoyer, L. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.18653/v1/p17-1147 · Cited by 1,690
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Joshi, M., Choi, E., Weld, D. S., & Zettlemoyer, L. (2017) · arXiv · doi:10.48550/arxiv.1705.03551 · Cited by 1,650
Conducting systematic literature reviews and bibliometric analyses
Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020) · Australian Journal of Management · doi:10.1177/0312896219877678 · Cited by 1,649
ERNIE: Enhanced Language Representation with Informative Entities
Zhang, Z., Han, X., Liu, Z., Jiang, X., Sun, M., & Liu, Q. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/p19-1139 · Cited by 1,482
Entity Linking meets Word Sense Disambiguation: a Unified Approach
Moro, A., Raganato, A., & Navigli, R. (2014) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00179 · Cited by 743
Metadata
- Authors
- Ferragina, P., & Scaiella, U.
- Venue
- Proceedings of the 19th ACM international conference on Information and knowledge management
- Publisher
- ACM
- Published
- 2010-10-26
- Pages
- 1625-1628
- OpenAlex
- W2123142779
- Cited by
- 743
- References
- 18
- FWCI
- 19.75
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ferragina, P., & Scaiella, U. (2010). TAGME: on-the-fly annotation of short text fragments (by wikipedia entities). Proceedings of the 19th ACM international conference on Information and knowledge management. https://doi.org/10.1145/1871437.1871689
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
