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

20 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2021

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations

Lingzhi Wang, Jing Li, Xingshan Zeng +2

Quotations are crucial for successful explanations and persuasions in interpersonal communications. However, finding what to quote in a conversation is challenging for both humans…

cs.CL2021★ 2 cited

Domain-Adaptive Pretraining Methods for Dialogue Understanding

Han Wu, Kun Xu, Linfeng Song +3

Language models like BERT and SpanBERT pretrained on open-domain data have obtained impressive gains on various NLP tasks. In this paper, we probe the effectiveness of domain-adapt…

cs.CL2021

Conversational Semantic Role Labeling

Kun Xu, Han Wu, Linfeng Song +3

Semantic role labeling (SRL) aims to extract the arguments for each predicate in an input sentence. Traditional SRL can fail to analyze dialogues because it only works on every sin…

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★ 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.SI2020★ 16 cited

Neighborhood Matters: Influence Maximization in Social Networks with Limited Access

Chen Feng, Luoyi Fu, Bo Jiang +4

Influence maximization (IM) aims at maximizing the spread of influence by offering discounts to influential users (called seeding). In many applications, due to user's privacy conc…