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 surveys existing evaluation methodologies for the task of sentence compression,
identifies their shortcomings, and proposes alternatives. In particular, we examine the …

In this paper we examine language modeling for text simplification. Unlike some text-to-text
translation tasks, text simplification is a monolingual translation task allowing for text in both …

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 …

In this paper, we introduce a syntax-based sentence simplifier that models simplification
using a probabilistic synchronous tree substitution grammar (STSG). To improve the STSG …

We present a new method that compresses sentences by removing words. In a first stage, it
generates candidate compressions by removing branches from the source sentence's …

This review of parallel corpora for automatic text simplification (ATS) involves an analysis of
forty-nine papers wherein the corpora are presented, focusing on corpora in the Indo …

We present a system for fusing sentences which are drawn from the same source document
but have different content. Unlike previous work, our approach is supervised, training on real …

We present a substitution-only approach to sentence compression which “tightens” a
sentence by reducing its character length. Replacing phrases with shorter paraphrases …

Data-driven approaches to sentence compression define the task as dropping any subset of
words from the input sentence while retaining important information and grammaticality. We …