119 citations · 587 across the 48 of their papers we have counts for
9 papers · 1 filter
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
Baolin Peng, Chunyuan Li, Zhu Zhang +3
For task-oriented dialog systems to be maximally useful, it must be able to process conversations in a way that is (1) generalizable with a small number of training examples for ne…
Mixed-Lingual Pre-training for Cross-lingual Summarization
Ruochen Xu, Chenguang Zhu, Yu Shi +2
Cross-lingual Summarization (CLS) aims at producing a summary in the target language for an article in the source language. Traditional solutions employ a two-step approach, i.e. t…
A Survey of Knowledge-Enhanced Text Generation
Wenhao Yu, Chenguang Zhu, Zaitang Li +4
The goal of text generation is to make machines express in human language. It is one of the most important yet challenging tasks in natural language processing (NLP). Since 2014, v…
Injecting Entity Types into Entity-Guided Text Generation
Xiangyu Dong, Wenhao Yu, Chenguang Zhu +1
Recent successes in deep generative modeling have led to significant advances in natural language generation (NLG). Incorporating entities into neural generation models has demonst…
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization
Beliz Gunel, Chenguang Zhu, Michael Zeng +1
Neural models have become successful at producing abstractive summaries that are human-readable and fluent. However, these models have two critical shortcomings: they often don't r…
Data Augmentation for Spoken Language Understanding via Pretrained Language Models
Baolin Peng, Chenguang Zhu, Michael Zeng +1
The training of spoken language understanding (SLU) models often faces the problem of data scarcity. In this paper, we put forward a data augmentation method using pretrained langu…