UD_Italian-TWITTIRO
Treebank card from UD release 2.18: metadata and texts come from UD_Italian-TWITTIRO/README.md; size is counted by streaming the .conllu files and checked against the release stats.xml. Generated by tools/treebanks build; do not edit by hand. Papers: Papers: UD_Italian-TWITTIRO; seeds: seeds/; converter: convert.md.
| Field | Value |
|---|---|
| UD name | UD_Italian-TWITTIRO |
| Language | Italian (it) |
| Family | IE |
| Treebank code | it_twittiro |
| UD page | universaldependencies.org/treebanks/it twittiro/index.html |
| License | CC BY-SA 4.0 |
| Genres | social |
| Text in data | yes |
| Parallel | no |
| In UD since | UD v2.5 |
| Authors | Alessandra T. Cignarella; Cristina Bosco; Manuela Sanguinetti |
| Contact | cigna@di.unito.it |
| Development | outside the UD repo (elsewhere): fixes go to the source or the converter |
Annotation layers
| Layer | Origin |
|---|---|
| Lemmas | converted from manual |
| UPOS | converted from manual |
| XPOS | manual native |
| Features | converted from manual |
| Relations | converted from manual |
UD scale: manual native — annotated by hand directly in UD; converted from manual — converted from manual annotation in another scheme; converted with corrections — converted and partly corrected by hand; automatic with corrections — automatic, with partial manual corrections; automatic — automatic; not available — the layer is absent.
Size
| Split | Sentences | Tokens | Words | Multiword tokens | Empty nodes |
|---|---|---|---|---|---|
| train | 1 138 | 22 653 | 23 631 | 976 | 0 |
| dev | 144 | 2 855 | 2 995 | 137 | 0 |
| test | 142 | 2 876 | 2 976 | 100 | 0 |
| total | 1 424 | 28 384 | 29 602 | 1 213 | 0 |
Tokens are surface tokens (Spanish vámonos is one), words are syntactic words (vamos + nos); multiword tokens are those split into several words; empty nodes are the N.M nodes of the enhanced graph.
Summary
TWITTIRÒ-UD is a collection of ironic Italian tweets annotated in Universal Dependencies. The treebank can be exploited for the training of NLP systems to enhance their performance on social media texts, and in particular, for irony detection purposes.
Introduction
TWITTIRÒ-UD has been created by enriching a resource originally developed for training and testing irony detection systems, also exploited as a benchmark for the Italian irony detection task held in EVALITA 2018 (Cignarella et al., 2018c). The treebank comprises both the fine-grained annotation for irony applied in Karoui et al. (2017), and the morphological and syntactic information encoded by the UD format.
The original corpus consists of 1,424 tweets (28,387 tokens). The syntactic annotation process was carried out through alternating steps of automatic scripting and manual revision, and finally with some out-of-domain parsing experiments. Parsing results also underwent a manual revision by two independent annotators.
In order to meet the requirements of the EU General Data Protection Regulation (GDPR), entered into force on May 2018, the resource content has been pseudonymized, by substituting original tweet IDs and user names.
:warning: An overall amount of 527 tweets overlaps with PoSTWITA-UD. The overlapping content however has been distributed such that it ends up in the same partition in both treebanks.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/treebanks/it/twittiro/