Negation and Speculation in Arabic Review (NSAR)
The Negation and Speculation Arabic Review (NSAR) corpus consists of 3K randomly selected review sentences from three well-known and benchmarked Arabic corpora: Large Scale Arabic Book Review (LABR), Large Arabic Multi-domain Resources (LAMR), and Multi-domain Arabic Sentiment Corpus (MASC). It contains reviews from different categories, including books, hotels, restaurants, and other products written in various Arabic dialects. The negation and speculation keywords have been annotated along with their linguistic scope based on the annotation guidelines reviewed by an expert linguist.
Ain Shams University
Annotated Corpus with Negation and Speculation in Arabic Review Domain: NSAR
sentiment analysis, information retrieval, review classification, Negation and Speculation Detection
International Journal of Advanced Computer Science and Applications
Ahmed Mahany, Heba Khaled, Nouh Sabri Elmitwally, Naif Aljohani, Said Ghoniemy
Negation and speculation detection are critical for
Natural Language Processing (NLP) tasks, such as sentiment
analysis, information retrieval, and machine translation. This
paper presents the first Arabic corpus in the review domain
annotated with negation and speculation. The Negation and
Speculation Arabic Review (NSAR) corpus consists of 3K
randomly selected review sentences from three well-known and
benchmarked Arabic corpora. It contains reviews from different
categories, including books, hotels, restaurants, and other
products written in various Arabic dialects. The negation and
speculation keywords have been annotated along with their
linguistic scope based on the annotation guidelines reviewed by
an expert linguist. The inter-annotator agreement between two
independent annotators, Arabic native speakers, is measured
using the Cohen’s Kappa coefficients with values of 95 and 80 for
negation and speculation, respectively. Furthermore, 29% of this
corpus includes at least one negation instance, while only 4% of
this corpus contains speculative content. Therefore, the Arabic
reviews focus more on negation structures rather than
speculation. This corpus will be available for the Arabic research
community to handle these critical phenomena.