99 citations · 124 across the 4 of their papers we have counts for
4 papers
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
Haomin Fu, Yeqin Zhang, Haiyang Yu +5
This paper introduces Doc2Bot, a novel dataset for building machines that help users seek information via conversations. This is of particular interest for companies and organizati…
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
Bin Bi, Chenliang Li, Chen Wu +5
Self-supervised pre-training, such as BERT, MASS and BART, has emerged as a powerful technique for natural language understanding and generation. Existing pre-training techniques e…
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
Wei Wang, Bin Bi, Ming Yan +5
Recently, the pre-trained language model, BERT (and its robustly optimized version RoBERTa), has attracted a lot of attention in natural language understanding (NLU), and achieved…
"Bilingual Expert" Can Find Translation Errors
Kai Fan, Jiayi Wang, Bo Li +3
Recent advances in statistical machine translation via the adoption of neural sequence-to-sequence models empower the end-to-end system to achieve state-of-the-art in many WMT benc…