As an effective strategy, data augmentation (DA) alleviates data scarcity scenarios where
deep learning techniques may fail. It is widely applied in computer vision then introduced to …

In recent years, with rapid technological advancement in both computing hardware and
algorithm, Artificial Intelligence (AI) has demonstrated significant advantage over human …

Abstract 1 Contents 2 1 Introduction 2 2 Overview of ChatGPT 4 2.1 OpenAI 4 2.2
Capabilities 5 3 Technology behind ChatGPT 6 3.1 Two core techniques 6 3.2 Technology …

Text style transfer is an important task in natural language generation, which aims to control
certain attributes in the generated text, such as politeness, emotion, humor, and many …

We propose syntactically controlled paraphrase networks (SCPNs) and use them to
generate adversarial examples. Given a sentence and a target syntactic form (eg, a …

Standard accuracy metrics indicate that reading comprehension systems are making rapid
progress, but the extent to which these systems truly understand language remains unclear …

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 …

Recognizing and generating paraphrases is an important component in many natural
language processing applications. A well-established technique for automatically extracting …

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 …