Proceedings of the Workshop on Noisy User-generated Text
Wei Xu, Bo Han, Alan Ritter (Editors)
- Anthology ID:
- W15-43
- Month:
- July
- Year:
- 2015
- Address:
- Beijing, China
- Venue:
- WNUT
- Events:
- Other Workshops and Events (2015) | Workshop on Noisy User-generated Text (2015)
- SIG:
- Publisher:
- Association for Computational Linguistics
- URL:
- https://preview.aclanthology.org/switch-docopt-to-docopt-ng/W15-43/
- DOI:
- 10.18653/v1/W15-43
- PDF:
- https://preview.aclanthology.org/switch-docopt-to-docopt-ng/W15-43.pdf
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Anna Jørgensen | Dirk Hovy | Anders Søgaard
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Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text
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A Normalizer for UGC in Brazilian Portuguese
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USFD: Twitter NER with Drift Compensation and Linked Data
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NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter
Colin Cherry | Hongyu Guo | Chengbi Dai
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IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition
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Data Adaptation for Named Entity Recognition on Tweets with Features-Rich CRF
Tian Tian | Marco Dinarelli | Isabelle Tellier
Tian Tian | Marco Dinarelli | Isabelle Tellier
NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization
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DCU-ADAPT: Learning Edit Operations for Microblog Normalisation with the Generalised Perceptron
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LYSGROUP: Adapting a Spanish microtext normalization system to English.
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IITP: Hybrid Approach for Text Normalization in Twitter
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NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization
Wookhee Min | Bradford Mott
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USZEGED: Correction Type-sensitive Normalization of English Tweets Using Efficiently Indexed n-gram Statistics
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Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition
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Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking
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Improving Twitter Named Entity Recognition using Word Representations
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Multimedia Lab @ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations
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NCSU_SAS_SAM: Deep Encoding and Reconstruction for Normalization of Noisy Text
Samuel Leeman-Munk | James Lester | James Cox
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