Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …

Abstract We present CAMeL Tools, a collection of open-source tools for Arabic natural
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …

With the widespread growth of data on the Web, the need for efficient methods to get and
arrange valuable information from these big noisy data is increased. The knowledge graph …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

This paper reports on the first shared task on statistical parsing of morphologically rich lan-
guages (MRLs). The task features data sets from nine languages, each available both in …

In this paper, we offer broad insight into the underperformance of Arabic constituency
parsing by analyzing the interplay of linguistic phenomena, annotation choices, and model …

In this article we present Curras, the first morphologically annotated corpus of the
Palestinian Arabic dialect. Palestinian Arabic is one of the many primarily spoken dialects of …

Abstract The Quranic Arabic Corpus (http://corpus. quran. com) is an annotated linguistic
resource with multiple layers of annotation including morphological segmentation, part-of …

This first joint meeting on Statistical Parsing of Morphologically Rich Languages and
Syntactic Analysis of Non-Canonical English (SPMRL-SANCL) featured a shared task on …

Most Arabic natural language processing tools and resources are developed to serve
Modern Standard Arabic (MSA), which is the official written language in the Arab World …