Summarization, is to reduce the size of the document while preserving the meaning, is one
of the most researched areas among the Natural Language Processing (NLP) community …

Sentence compression holds promise for many applications ranging from summarization to
subtitle generation. Our work views sentence compression as an optimization problem and …

This paper presents a tree-to-tree transduction method for sentence compression. Our
model is based on synchronous tree substitution grammar, a formalism that allows local …

Sentence compression is the task of producing a summary at the sentence level. This paper
focuses on three aspects of this task which have not received detailed treatment in the …

Monolingual text-to-text generation is an emerging research area in Natural Language
Processing. One reason for the interest in such generation systems is the possibility to …

Monolingual text-to-text generation is an emerging research area in natural language
processing. One reason for the interest in such generation systems is the possibility to …

Energy efficiency has been known as the most significant problem in all facets of the
wireless sensor network operations. In this paper, we propose a meta-data-based data …

Masalah utama dalam penggunaan handheld device adalah ukuran layar yang kecil
sehingga mempersulit pengguna untuk mencari dan memperoleh informasi tekstual …

In this paper, we propose a new unsupervised approach to sentence compression based on
shallow linguistic processing. For that purpose, paraphrase extraction and alignment is …

Abstract 1 In this paper, we present a study for extracting and aligning paraphrases in the
context of Sentence Compression. First, we justify the application of a new measure for the …