most citedThe JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

5 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20221 cited

ED-FAITH: Evaluating Dialogue Summarization on Faithfulness

Sicong Huang, Asli Celikyilmaz, Haoran Li

Abstractive summarization models typically generate content unfaithful to the input, thus highlighting the significance of evaluating the faithfulness of generated summaries. Most…

cs.CL20215 cited

The JDDC 2.0 Corpus: A Large-Scale Multimodal Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service

Nan Zhao, Haoran Li, Youzheng Wu +2

With the development of the Internet, more and more people get accustomed to online shopping. When communicating with customer service, users may express their requirements by mean…

cs.CL2021

Syntax-augmented Multilingual BERT for Cross-lingual Transfer

Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang +1

In recent years, we have seen a colossal effort in pre-training multilingual text encoders using large-scale corpora in many languages to facilitate cross-lingual transfer learning…

cs.CL2021

EASE: Extractive-Abstractive Summarization with Explanations

Haoran Li, Arash Einolghozati, Srinivasan Iyer +4

Current abstractive summarization systems outperform their extractive counterparts, but their widespread adoption is inhibited by the inherent lack of interpretability. To achieve…

cs.CL2021

K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce

Song Xu, Haoran Li, Peng Yuan +5

Existing pre-trained language models (PLMs) have demonstrated the effectiveness of self-supervised learning for a broad range of natural language processing (NLP) tasks. However, m…