Search Results for author: Lu Xiao

Found 12 papers, 0 papers with code

Neural-based RST Parsing And Analysis In Persuasive Discourse

no code implementations WNUT (ACL) 2021 Jinfen Li, Lu Xiao

Contributing to this analysis direction for social media studies, we build an openly accessible neural RST parsing system that analyzes discourse relations in an online comment.


Effects of Anonymity on Comment Persuasiveness in Wikipedia Articles for Deletion Discussions

no code implementations EMNLP (NLP+CSS) 2020 Yimin Xiao, Lu Xiao

It has been shown that anonymity affects various aspects of online communications such as message credibility, the trust among communicators, and the participants’ accountability and reputation.


Tree Representations in Transition System for RST Parsing

no code implementations COLING 2020 Jinfen Li, Lu Xiao

In our paper, we design a new nuclear type for the multi-nuclear relations, and a new action to construct a multi-branch tree.

Vocal Bursts Type Prediction

syrapropa at SemEval-2020 Task 11: BERT-based Models Design For Propagandistic Technique and Span Detection

no code implementations SEMEVAL 2020 Jinfen Li, Lu Xiao

This paper describes the BERT-based models proposed for two subtasks in SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles.

regression Sentence

A Lexicon-Based Approach for Detecting Hedges in Informal Text

no code implementations LREC 2020 Jumayel Islam, Lu Xiao, Robert E. Mercer

Our work produced three manually constructed lists of hedge words, booster words, and hedging phrases.

Management Sentence

Detection of Propaganda Using Logistic Regression

no code implementations WS 2019 Jinfen Li, Zhihao Ye, Lu Xiao

Various propaganda techniques are used to manipulate peoples perspectives in order to foster a predetermined agenda such as by the use of logical fallacies or appealing to the emotions of the audience.

Logical Fallacies regression +1

Multi-Channel Convolutional Neural Network for Twitter Emotion and Sentiment Recognition

no code implementations NAACL 2019 Jumayel Islam, Robert E. Mercer, Lu Xiao

It provides a great way to understand human psychology and impose a challenge to researchers to analyze their content easily.

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