Serbian annotated corpus: SETimes.SR

SETimes.SR is a ref­er­ence train­ing cor­pus of Ser­bian texts col­lect­ed from the SE­Times par­al­lel news cor­pus.
It con­tains 163 doc­u­ments di­vid­ed into 3891 sen­tences, or 86 726 to­kens.
The cor­pus is man­u­al­ly an­no­tat­ed on the fol­low­ing lev­els:

  • To­ken, sen­tence, and doc­u­ment seg­men­ta­tion
  • Mor­phosyn­tax
  • Lem­mas
  • De­pen­den­cy syn­tax
  • Named en­ti­ties

The set of mor­phosyn­tac­tic tags used in the cor­pus fol­lows the re­vised MUL­TEXT-East V5 tagset for Bosn­ian, Croa­t­ian and Ser­bian, avail­able here.
De­pen­den­cy syn­tax is an­no­tat­ed ac­cord­ing to the Uni­ver­sal De­pen­den­cy v2 spec­i­fi­ca­tion (UDv2).
Named en­ti­ty an­no­ta­tions are en­cod­ed in the IOB2 for­mat, with five NE types con­sid­ered – peo­ple (PER), per­son de­riv­a­tives (DERIV-PER), lo­ca­tions (LOC), or­ga­ni­za­tions (ORG), and mis­cel­la­neous en­ti­ties (MISC).
Fur­ther in­for­ma­tion about the cor­pus can be found on its GitHub repos­i­to­ry.

Vuk Batanović, Niko­la Ljubešić, Tan­ja Samardžić
For lo­cal use, a full-text ver­sion of SETimes.SR can be down­loaded from the CLARIN.SI repos­i­to­ry. SETimes.SR is also avail­able on the Ser­bian UD tree­bank repos­i­to­ry. In ad­di­tion, the cor­pus can be ac­cessed via the NoS­ketch En­gine, as well as via Kon­Text.
The com­pi­la­tion of the cor­pus is de­scribed in the fol­low­ing pa­per:
Vuk Batanović, Niko­la Ljubešić, and Tan­ja Samardžić (2018). SETimes.SR – A Ref­er­ence Train­ing Cor­pus of Ser­bian. In Pro­ceed­ings of the Con­fer­ence on Lan­guage Tech­nolo­gies & Dig­i­tal Hu­man­i­ties 2018 (JT-DH 2018), pp. 11–17, Ljubl­jana, Slove­nia. [Link]

Ad­di­tion­al in­for­ma­tion re­gard­ing the UD an­no­ta­tion of this cor­pus are avail­able in the fol­low­ing pa­per:
Tan­ja Samardžić, Mir­jana Starović, Željko Agić, Niko­la Ljubešić (2017). Uni­ver­sal De­pen­den­cies for Ser­bian in Com­par­i­son with Croa­t­ian and Oth­er Slav­ic Lan­guages. In Pro­ceed­ings of the 6th Work­shop on Bal­to-Slav­ic Nat­ur­al Lan­guage Pro­cess­ing. Va­len­cia, Spain. [Link] [.bib]

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When using the resource it is necessary to cite the papers listed with it as well as the ReLDI repository page.