Most recent sentence simplification systems use basic machine translation models to learn
lexical and syntactic paraphrases from a manually simplified parallel corpus. These methods …

We present the 1.0 release of our paraphrase database, PPDB. Its English portion, PPDB:
Eng, contains over 220 million paraphrase pairs, consisting of 73 million phrasal and 8 …

In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …

We have created layers of annotation on the English Gigaword v. 5 corpus to render it useful
as a standardized corpus for knowledge extraction and distributional semantics. Most …

We release a massive expansion of the paraphrase database (PPDB) that now includes a
collection of paraphrases in 23 different languages. The resource is derived from large …

We present sentence enhancement as a novel technique for text-to-text generation in
abstractive summarization. Compared to extraction or previous approaches to sentence …

Learning inference relations between verbs is at the heart of many semantic applications.
However, most prior work on learning such rules focused on a rather narrow set of …

Two decades after the introduction of the World Wide Web, the world is experiencing an
“information explosion”, that is, a rapid increase in the amount of available textual …

Recent studies have shown the applicability of streaming and randomized algorithms in a
variety of large-scale language mining tasks. However, lack of many publicly available …

We present our work on the extraction and estimation of syntactic paraphrases using
commodity text data and automated linguistic annotation. Our initial approach leverages …