Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …

This paper focuses on paraphrase generation, which is a widely studied natural language
generation task in NLP. With the development of neural models, paraphrase generation …

Paraphrase generation is an important problem in NLP, especially in question answering,
information retrieval, information extraction, conversation systems, to name a few. In this …

In this paper, we propose a novel neural approach for paraphrase generation. Conventional
para-phrase generation methods either leverage hand-written rules and thesauri-based …

In this paper we describe a method for simplifying sentences using Phrase Based Machine
Translation, augmented with a re-ranking heuristic based on dissimilarity, and trained on a …

The question answering system is frequently applied in the area of natural language
processing (NLP) because of the wide variety of applications. It consists of answering …

Inducing diversity in the task of paraphrasing is an important problem in NLP with
applications in data augmentation and conversational agents. Previous paraphrasing …

Given a sentence (eg,“I like mangoes”) and a constraint (eg, sentiment flip), the goal of
controlled text generation is to produce a sentence that adapts the input sentence to meet …

We propose a new sentence simplification task (Split-and-Rephrase) where the aim is to
split a complex sentence into a meaning preserving sequence of shorter sentences. Like …

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 …