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

We describe two systems for text simplification using typed dependency structures, one that
performs lexical and syntactic simplification, and another that performs sentence …

Most previous studies on speech summarization focus on the extractive approaches. Yet
directly concatenating the extracted speech utterances may not form a good summary due to …

In this paper we introduce a novel single-document summarization method based on a
hidden semi-Markov model. This model can naturally model single-document …

This paper describes a system that automatically generates shop-specific listing ads by
reusing textual data promoting each shop. As the textual data available for this research are …

This work introduces a model free approach to sentence compression, which grew out of
ideas from Nomoto (2008), and examines how it compares to a state-of-art model intensive …

Conventional sentence compression methods employ a syntactic parser to compress a
sentence without changing its meaning. However, the reference compressions made by …

Sentence compression is the task of producing a summary of a single sentence. The
compressed sentence should be shorter, contain the important content from the original, and …