Multitask and Multilingual Modelling for Lexical Analysis
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Multitask and Multilingual Modelling for Lexical Analysis. / Bjerva, Johannes.
In: KI - Künstliche Intelligenz, Vol. 32, No. 4, 2018, p. 287-290.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Multitask and Multilingual Modelling for Lexical Analysis
AU - Bjerva, Johannes
PY - 2018
Y1 - 2018
N2 - In Natural Language Processing (NLP), one traditionally considers a single task (e.g.part-of-speech tagging) for a single language (e.g.English) at a time. However, recent work has shown that it can be beneficial to take advantage of relatedness between tasks, as well as between languages. In this work I examine the concept of relatedness and explore how it can be utilised to build NLP models that require less manually annotated data. A large selection of NLP tasks is investigated for a substantial language sample comprising 60 languages. The results show potential for joint multitask and multilingual modelling, and hints at linguistic insights which can be gained from such models.
AB - In Natural Language Processing (NLP), one traditionally considers a single task (e.g.part-of-speech tagging) for a single language (e.g.English) at a time. However, recent work has shown that it can be beneficial to take advantage of relatedness between tasks, as well as between languages. In this work I examine the concept of relatedness and explore how it can be utilised to build NLP models that require less manually annotated data. A large selection of NLP tasks is investigated for a substantial language sample comprising 60 languages. The results show potential for joint multitask and multilingual modelling, and hints at linguistic insights which can be gained from such models.
KW - Natural language processing
KW - Deep learning
KW - Multitask learning
KW - Multilingual learning
U2 - 10.1007/s13218-018-0557-5
DO - 10.1007/s13218-018-0557-5
M3 - Journal article
VL - 32
SP - 287
EP - 290
JO - KI - Künstliche Intelligenz
JF - KI - Künstliche Intelligenz
SN - 0933-1875
IS - 4
ER -
ID: 209170933