The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
The CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection
复制标题
CoNLL-SIGMORPHON 2018 共享任务：通用形态再变形
DOI：
10.18653/v1/k18-3001
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发表时间：
2018
影响因子：
2.9
通讯作者：
Mans Hulden
中科院分区：
文献类型：
--
作者：
Ryan Cotterell;Christo Kirov;John Sylak;Géraldine Walther;Ekaterina Vylomova;Arya D. McCarthy;Katharina Kann;Sabrina J. Mielke;Garrett Nicolai;Miikka Silfverberg;David Yarowsky;Jason Eisner;Mans Hulden
CoNLL--SIGMORPHON 2018 共享形态生成监督学习任务，其特征是来自 103 种不同类型语言的数据集。除了扩大早期生成变形形式的监督任务中涉及的语言数量外，今年的共享任务还新增了第二项任务，要求参与者在句子上下文中变形单词，类似于完形填空任务。第二项任务涉及七种语言。任务 1 收到 27 份提交材料，任务 2 收到 6 份提交材料。这两项任务都具有低、中、高数据条件。几乎所有提交的内容都具有神经组件，并建立在 2017 年初共享任务的高排名系统之上。在词形变化任务（任务 1）中，去年词形变化任务中出现的 52 种语言中有 41 种显示出在低资源环境下最好的系统的改进。完形填空任务（任务 2）被证明是困难的，并且很少有提交能够持续改进简单的神经基线系统和引理重复基线。
The CoNLL--SIGMORPHON 2018 shared task on supervised learning of morphological generation featured data sets from 103 typologically diverse languages. Apart from extending the number of languages involved in earlier supervised tasks of generating inflected forms, this year the shared task also featured a new second task which asked participants to inflect words in sentential context, similar to a cloze task. This second task featured seven languages. Task 1 received 27 submissions and task 2 received 6 submissions. Both tasks featured a low, medium, and high data condition. Nearly all submissions featured a neural component and built on highly-ranked systems from the earlier 2017 shared task. In the inflection task (task 1), 41 of the 52 languages present in last year's inflection task showed improvement by the best systems in the low-resource setting. The cloze task (task 2) proved to be difficult, and few submissions managed to consistently improve upon both a simple neural baseline system and a lemma-repeating baseline.