Jana Strnadova
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The Practical Challenges of Active Learning: A Case Study from Live Experimentation
Jean-François Kagy
ICML Workshop on Human In the Loop Learning (2019)
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We tested, in a production setting, the use of active learning for selecting text documents for human annotations used to train a Thai segmentation machine learning model. In our study, two concurrent annotated samples were constructed, one through random sampling of documents from a text corpus, and the other through model-based scoring and ranking of documents from the same corpus. We observed that several of the assumptions forming the basis of offline (simulated) evaluation largely failed in the live setting. We present these challenges and propose guidelines addressing each of them which can be used for the design of live experimentation of active learning, and more generally for the application of active learning in live settings.
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In this paper we address the usefulness of the notion of a paradigm in the context of derivational morphology. We first define a notion of paradigmatic system that extends conservatively the notion as it is used in inflection so as to be applicable to collections of structured families of derivationally-related words. We then build on this definition in an empirical quantitative study of derivational families of verbs in French. We apply information-theoretic measures of predictability initially designed by Ackerman, Blevins and Malouf (2009) in the context of inflection. We conclude that key quantitative properties are common to inflectional and derivational paradigmatic systems, and hence that (partial) paradigms are an important ingredient of the study of derivation.
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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
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Daniel Zeman
Martin Popel
Milan Straka
Jan Hajic
Joakim Nivre
Filip Ginter
Juhani Luotolahti
Sampo Pyysalo
Martin Potthast
Francis Tyers
Elena Badmaeva
Memduh Gokirmak
Anna Nedoluzhko
Silvie Cinkova
Jan Hajic jr.
Jaroslava Hlavacova
Václava Kettnerová
Zdenka Uresova
Jenna Kanerva
Stina Ojala
Anna Missilä
Christopher D. Manning
Sebastian Schuster
Siva Reddy
Dima Taji
Nizar Habash
Herman Leung
Marie-Catherine de Marneffe
Manuela Sanguinetti
Maria Simi
Hiroshi Kanayama
Valeria de Paiva
Kira Droganova
Héctor Martínez Alonso
Çagrı Çöltekin
Umut Sulubacak
Hans Uszkoreit
Vivien Macketanz
Aljoscha Burchardt
Kim Harris
Katrin Marheinecke
Georg Rehm
Tolga Kayadelen
Ali Elkahky
Zhuoran Yu
Emily Pitler
Saran Lertpradit
Michael Mandl
Jesse Kirchner
Hector Fernandez Alcalde
Esha Banerjee
Antonio Stella
Atsuko Shimada
Sookyoung Kwak
Gustavo Mendonca
Tatiana Lando
Rattima Nitisaroj
Josie Li
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
