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Named entity recognition from scratch on social media
Date
2015-09-07
Author
Önal, Kezban Dilek
Karagöz, Pınar
Metadata
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With the extensive amount of textual data flowing through social media platforms, the interest in Information Extraction (IE) on such textual data has increased. Named Entity Recognition (NER) is one of the basic problems of IE. State-of-the-art solutions for NER face an adaptation problem to informal texts from social media platforms. In this study, we addressed this generalization problem with the NLP from scratch idea that has been shown to be successful for several NLP tasks on formal text. Experimental results have shown that word embeddings can be successfully used for NER on informal text.
Subject Keywords
NER
,
Word embeding
,
NLP from scratch
,
Social media
URI
https://hdl.handle.net/11511/88175
Conference Name
International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) ECML-PKDD, MUSE Workshop, (07 Eylül 2015)
Collections
Department of Computer Engineering, Conference / Seminar
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K. D. Önal and P. Karagöz, “Named entity recognition from scratch on social media,” presented at the International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) ECML-PKDD, MUSE Workshop, (07 Eylül 2015), Porto, Portugal, 2015, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/88175.