The CoBaLD Annotation Project: the Creation and Application of the full Morpho-Syntactic and Semantic Markup Standard

Maria Petrova, Alexandra Ivoylova, Ilya Bayuk, Darya Dyachkova, Mariia Michurina

Abstract: The current paper is devoted to the Compreno-Based Linguistic Data (CoBaLD) Annotation Project aimed at creating text corpora annotated with full morphological, syntactic and semantic markup. The first task of the project is to suggest a standard for the full universal markup which would include both morphosyntactic and semantic patterns. To solve this problem, one needs the markup model, which includes all necessary markup levels and presents the markup in a format convenient for users. The latter implies not only the fullness of the markup, but also its structural simplicity and homogeneity. As a base for the markup, we have chosen the simplified version of the Compreno model1, and as data presentation format, we have taken Universal Dependencies. At the second stage of the project, the Russian corpus with 400 thousand tokens (CoBaLD-Rus) has been created, which is annotated according to the given standard. The third stage is devoted to the testing of the new format. For this purpose, we have held the SEMarkup Shared Task aimed at creating parsers which would produce full morpho-syntactic and semantic markup. Within this task, we have elaborated neural network-based parser trained on our dataset, which allows one to annotate new texts with the CoBaLD-standard. Our further plans are to create fully annotated corpora for other languages and to carry out the experiments on language transfers of the current markup to other languages.