Argumentative corpora are costly to create and are available in only few languages with English dominating the area. In this paper we release the first publicly available corpora in all Balkan languages and Arabic. The corpora are obtained by using parallel corpora where the source language is English and target language is either a Balkan language or Arabic. We use 8 different argument mining classifiers trained for English, apply them all on the source language and project the decision made by the classifiers to the target language. We assess the performance of the classifiers on a manually annotated news corpus. Our results show when at least 3 to 6 classifiers are used to judge a piece of text as argumentative an F1-score above 90% is obtained.
@InProceedings{SLIWA18.785, author = {Alfred Sliwa and Yuan Man and Ruishen Liu and Niravkumar Borad and Seyedeh Ziyaei and Mina Ghobadi and Firas Sabbah and Ahmet Aker}, title = "{Multi-lingual Argumentative Corpora in English, Turkish, Greek, Albanian, Croatian, Serbian, Macedonian, Bulgarian, Romanian and Arabic}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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