activity
20192023
most citedNaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation

33 citations · 142 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.CL2020★ 20 cited

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

Haisong Zhang, Lemao Liu, Haiyun Jiang +14

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities. Com…

cs.CL2020★ 5 cited

Robust Dialogue Utterance Rewriting as Sequence Tagging

Jie Hao, Linfeng Song, Liwei Wang +3

The task of dialogue rewriting aims to reconstruct the latest dialogue utterance by copying the missing content from the dialogue context. Until now, the existing models for this t…

cs.CL2020★ 3 cited

Automatic Summarization of Open-Domain Podcast Episodes

Kaiqiang Song, Chen Li, Xiaoyang Wang +2

We present implementation details of our abstractive summarizers that achieve competitive results on the Podcast Summarization task of TREC 2020. A concise textual summary that cap…

cs.CL2020★ 2 cited

Better Highlighting: Creating Sub-Sentence Summary Highlights

Sangwoo Cho, Kaiqiang Song, Chen Li +3

Amongst the best means to summarize is highlighting. In this paper, we aim to generate summary highlights to be overlaid on the original documents to make it easier for readers to…

cs.CL2020★ 2 cited

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

Kai Sun, Dian Yu, Jianshu Chen +2

In this paper, we aim to extract commonsense knowledge to improve machine reading comprehension. We propose to represent relations implicitly by situating structured knowledge in a…

cs.CL2020★ 1 cited

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter

Kun Xu, Haochen Tan, Linfeng Song +4

For multi-turn dialogue rewriting, the capacity of effectively modeling the linguistic knowledge in dialog context and getting rid of the noises is essential to improve its perform…

cs.CV2020★ 14 cited

Comprehensive Image Captioning via Scene Graph Decomposition

Yiwu Zhong, Liwei Wang, Jianshu Chen +2

We address the challenging problem of image captioning by revisiting the representation of image scene graph. At the core of our method lies the decomposition of a scene graph into…

cs.CV2020★ 8 cited

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Liwei Wang, Jing Huang, Yin Li +3

Weakly supervised phrase grounding aims at learning region-phrase correspondences using only image-sentence pairs. A major challenge thus lies in the missing links between image re…