Word sense disambiguation (WSD) is a specific task of computational linguistics which aims
at automatically identifying the correct sense of a given ambiguous word from a set of …

Arabic Text Classification Framework Based on Latent Dirichlet Allocation Page 1 Journal of
Computing and Information Technology - CIT 20, 2012, 2, 125–140 doi:10.2498/cit.1001770 …

In this paper, we evaluate the variants of the Lesk algorithm to disambiguate Arabic words.
In the first experiment we apply the original Lesk algorithm using the dictionary as a …

Event extraction from texts continues to pose a challenge for many NLP systems. This article
presents a novel neural network architecture that can extract and classify events from Arabic …

In this paper, we propose a new semisupervised approach for Arabic word sense
disambiguation. Using the corpus and Arabic Wordnet1, we define a method to cluster the …

Word sense disambiguation (WSD) is the task of automatically determining the meaning of a
polysemous word in a specific context. Word sense induction is the unsupervised clustering …

Arabic is known for its sparseness, which explains the difficulty of its automatic processing.
The Arabic language is based on schemes; lemmas are produced using derivation based …

We propose a new approach for determining the adequate sense of Arabic words. For that,
we propose an algorithm based on information retrieval measures to identify the context of …

If language learning assisted by computer (CALL) has in recent years real progress thanks
to the evolution of computer technology, it is nevertheless dependent on the reductionist …

In addition to traditional characteristics of natural languages like implicitly or ambiguity or
imprecision, Arabic is known by its sparseness which explains the difficulty of its automatic …