Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and
subjectivity in text, has received considerable attention in recent years. In contrast to the …

We propose a novel model that apply an extension of the Long Short-Term Memory neural
network for sentence compression task. In our model, only the most relevant context of each …

We propose a combined model of enhanced Bidirectional Long Short Term Memory (Bi-
LSTM) and well-known classifiers such as Conditional Random Field (CRF) and Support …

A lot of work has been performed for many languages other than Arabic in sentence
compression. Unfortunately, there is a lack of effort devoted to Arabic sentence compression …

This paper proposes an approach for sentence compression that only requires the part-of-
speech information. The method is based on an observation of the human compression …

Sentence compression has traditionally been tackled as syntactic tree pruning, where rules
and statistical features are defined for pruning less relevant words. Recent years have …

Structured representations are ubiquitous in natural language processing as both the
product of text analysis tools and as a source of features for higher-level problems such as …