BIP! Finder - Findings of the VarDial Evaluation Campaign 2017

2017 • Findings of the VarDial Evaluation Campaign 2017

Authors: Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, Preslav Nakov, Ahmed Ali, Jörg Tiedemann, Yves Scherrer, Noëmi Aepli

Venue: Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)

Type: Publication

Abstract: We present the results of the VarDial Evaluation Campaign on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects, which we organized as part of the fourth edition of the VarDial workshop at EACL’2017. This year, we included four shared tasks: Discriminating between Similar Languages (DSL), Arabic Dialect Identification (ADI), German Dialect Identification (GDI), and Cross-lingual Dependency Parsing (CLP). A total of 19 teams submitted runs across the four tasks, and 15 of them wrote system description papers.

Topics: Natural language processing Artificial intelligence Linguistics

DOI: 10.18653/v1/w17-1201

BIP! social metrics: 0 9
External links: Crossref , OpenAIRE

BibTex PDF

Topic-specific impact indicators

Popularity: This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Influence: This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citation Count: This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Impulse: This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.