In this study, we focus on sentence splitting, a subfield of text simplification, motivated largely by an unproven idea that if you divide a sentence in pieces, it should become easier to understand.

Abstract: In this study, we propose sentence simplification from a non-parallel corpus with adversarial learning. In recent years, sentence simplification based on a statistical machine translation ...

Abstract: Sentence simplification aims to simplify a complex sentences while retaining its main idea. It is one of the most important tasks in natural language processing. Recent works addressed the ...

Sentence simplification systems 6, 10, 11 usually have parsers as integral part of their algorithm, while there are few systems 4 that use only POS. The latter aim for fast simplification at the point ...

The article at hand aggregates the work of our group in automatic processing of simplified German. We present four parallel (standard/simplified German) corpora compiled and curated by our group. We ...

Sentence simplification maps a sentence to a simpler, more readable one approximating its content. In practice, simplification is often modeled using four main operations: splitting a complex sentence ...

The project is based on simplification of English sentences. Given an English sentence as input, the model aims to rearrange the words or substitute words or phrases to make it easier to comprehend ...

In recent years, there has been increased interest in topic-focused multi-document summarization. In this task, automatic summaries are produced in response to a specific information request, or topic ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Simplifying text’s grammar and structure is a useful skill most of us ...

We propose a dependency parsing-based sentence simplification approach that extracts a set of keywords from natural language sentences and uses those in addition to entire utterances for completing ...