The PARSEME shared task aims at identifying verbal MWEs in running texts. Verbal MWEs include idioms (let the cat out of the bag), light verb constructions (make a decision), verb-particle constructions (give up), and inherently reflexive verbs (se suicider 'to suicide' in French). VMWEs were annotated according to the universal guidelines in 18 languages. The corpora are provided in the parsemetsv format, inspired by the CONLL-U format.
For most languages, paired files in the CONLL-U format - not necessarily using UD tagsets - containing parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe).
This item contains training and test data, tools and the universal guidelines file.
This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018).
For most languages, morphological and syntactic information – not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe).
This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018).
The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1
HPSG-based annotation including: constituent structure, dependency relations, named entities (classified as person, organisation, location or other names), coreferential relations. Annotation in XML
Written, synchronic, general, manually annotated, 1 000 000 tokens divided in three sets: 215 000 tokens used in BulTreeBank HPSG Treebank (see below), additionally 300 000 checked second time, rest about 480 000 checked by the annotators. Morphosyntactic annotation with the BulTreeBank Tagset (http://www.bultreebank.org/TechRep/BTB-TR03.pdf), XML, annotation description in technical reports of BulTreeBank project http://www.bultreebank.org/TechRep
Written, synchronic, general, manually annotated; 50 000 tokens, 2600 sentences extracted from the BulTreeBank Text Archive in order to contain the most frequent ambiguity classes in Bulgarian