We introduce the Salford Arabic Causal Bank (SACB) corpus, a new corpus dedicated to Arabic Causal relations. Causality as a linguistic phenomenon can be expressed using different elements and grammatical expressions. In Arabic language, causal particles – Purpose Lam, Causation Fa’a, Causation Ba’a- when prefixed to words, play a key role in indicating causality. However, these particles give different meanings according to their position in the text. In fact, these meanings can be interpreted according to the context in which they occur. This ambiguity emphasizes the high demand for a large-scale corpus in which instances of these particles are annotated. In this paper, we present the first stage of building the SACB, which includes a collection of annotated sentences each containing an instance of a causal particle. The sentences were carefully examined by two specialist annotators to give an accurate account for each annotated instance. Arabic is a less–resourced language and we hope this corpus would help in building better Information Extraction systems.
@InProceedings{SADEK18.11, author = {Jawad Sadek and Farid Meziane}, title = {Building a Causation Annotated Corpus: The Salford Arabic Causal Bank - Proclitics}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {Hend Al-Khalifa and King Saud University and KSA
Walid Magdy and University of Edinburgh and UK
Kareem Darwish and Qatar Computing Research Institute and Qatar
Tamer Elsayed and Qatar University and Qatar}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-25-2}, language = {english} }
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