The rapid progress of Natural Language Processing (NLP) technologies has led to the
widespread availability and effectiveness of text generation tools such as ChatGPT and …

We describe an approach for unsupervised learning of a generic, distributed sentence
encoder. Using the continuity of text from books, we train an encoder-decoder model that …

Modeling sentence similarity is complicated by the ambiguity and variability of linguistic
expression. To cope with these challenges, we propose a model for comparing sentences …

Motivation The amount of information available in textual format is rapidly increasing in the
biomedical domain. Therefore, natural language processing (NLP) applications are …

Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural
language expressions that convey almost the same information. Textual entailment …

We propose to re-examine the hypothesis that automated metrics developed for MT
evaluation can prove useful for paraphrase identification in light of the significant work on …

We present a novel approach to deciding whether two sentences hold a paraphrase
relationship. We employ a generative model that generates a paraphrase of a given …

The rapid growth in digital information has raised considerable challenges in particular
when it comes to automated content analysis. Social media such as twitter share a lot of its …

As research in text-to-text paraphrase generation progresses, it has the potential to improve
the quality of generated text. However, the use of paraphrase generation methods creates a …

Abstract Machine translation has improved in quality and worked best when applied to
language pair of the same language family. This research was aimed to assess the quality of …