8 |
Universal Dependencies 2.2
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
|
|
BASE
|
|
Show details
|
|
11 |
Universal Dependencies 2.1
|
|
|
|
In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
|
|
BASE
|
|
Show details
|
|
14 |
Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages
|
|
Wolinski, Marcin; Foster, Jennifer; Wróblewska, Alina; Choi, Jinho; Villemonte de la Clérgerie, Eric; Nivre, Joakim; Farkas, Richard; Versley, Yannick; Goenaga, Iakes; Tsarfaty, Reut; Green, Spence; Candito, Marie; Seddah, Djamé; Kuhlmann, Marco; Maier, Wolfgang; Habash, Nizar; Seeker, Wolfgang; Gojenola, Koldo; Kübler, Sandra; Vincze, Veronika; Goldberg, Yoav; Przepiórkowski, Adam; Roth, Ryan
|
|
In: Seddah, Djamé, Tsarfaty, Reut, Kübler, Sandra, Candito, Marie, Choi, Jinho, Farkas, Richard, Foster, Jennifer orcid:0000-0002-7789-4853 , Goenaga, Iakes, Gojenola, Koldo, Goldberg, Yoav, Green, Spence, Habash, Nizar, Kuhlmann, Marco, Maier, Wolfgang, Nivre, Joakim, Przepiórkowski, Adam, Roth, Ryan, Seeker, Wolfgang, Versley, Yannick, Vincze, Veronika, Wolinski, Marcin, Wróblewska, Alina and Villemonte de la Clérgerie, Eric (2013) Overview of the SPMRL 2013 shared task: cross-framework evaluation of parsing morphologically rich languages. In: Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, 18 Oct 2013, Seattle, WA. (2013)
|
|
Abstract:
This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the evaluation metrics for parsing MRLs given different representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios.
|
|
Keyword:
Computational linguistics; Language; Machine learning
|
|
URL: http://doras.dcu.ie/19958/
|
|
BASE
|
|
Hide details
|
|
|
|