Jana Strnadova

Jana Strnadova

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    Preview abstract 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. View details
    Preview abstract 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. View details
    CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
    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
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