In this paper we examine the task of sentence simplification which aims to reduce the
reading complexity of a sentence by incorporating more accessible vocabulary and …

This work proposes an approach to address the problem of improving content selection in
automatic text summarization by using some statistical tools. This approach is a trainable …

arXiv:1604.03357v1 [cs.CL] 12 Apr 2016 Page 1 Improving sentence compression by learning to
predict gaze Sigrid Klerke University of Copenhagen skl@hum.ku.dk Yoav Goldberg Bar-Ilan …

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 …

In this paper we examine the sentence simplification problem as an English-to-English
translation problem, utilizing a corpus of 137K aligned sentence pairs extracted by aligning …

This work proposes an approach that uses statistical tools to improve content selection in
multi-document automatic text summarization. The method uses a trainable summarizer …

This work proposes an approach to address automatic text summarization. This approach is
a trainable summarizer, which takes into account several features, including sentence …

Joint compression and summarization has been used recently to generate high quality
summaries. However, such word-based joint optimization is computationally expensive. In …

Automatic headline generation is a sub-task of document summarization with many reported
applications. In this study we present a sequence-prediction technique for learning how …

In this paper, we focus on the problem of using sentence compression techniques to
improve multi-document summarization. We propose an innovative sentence compression …