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Keystroke dynamics as signal for shallow syntactic parsing
Barbara Plank
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
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Barbara Plank
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Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel
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Anders Søgaard
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Imagination Improves Multimodal Translation
Desmond Elliott
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Ákos Kádár
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Sequence Classification with Human Attention
Maria Barrett
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Joachim Bingel
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Nora Hollenstein
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Marek Rei
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Anders Søgaard
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Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini
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Mirella Lapata
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Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing
Maria Barrett
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Ana Valeria González-Garduño
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Lea Frermann
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Anders Søgaard
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Multitask Parsing Across Semantic Representations
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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Entity Identification as Multitasking
Karl Stratos
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Using hyperlinks to improve multilingual partial parsers
Anders Søgaard
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Predicting Authorship and Author Traits from Keystroke Dynamics
Barbara Plank
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https://github.com/bplank/coling2016ks
https://github.com/clab/cnn
http://www.cnts.ua.ac.be/conll2000/chunking/
http://www.casmacat.eu/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Chunking
Syntactic Parsing
Machine Translation
Language
English
Japanese
Dataset
Twitter
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