paper-with-me

홈 › Papers

Weakly Supervised Tweet Stance Classification by Relational Bootstrapping

2016-11-01 · EMNLP 2016 11 · Javid Ebrahimi, Dejing Dou, Daniel Lowd
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

ClassificationGeneral ClassificationRelational ReasoningStance ClassificationText Classification

Similar Papers 제목 키워드 기반

A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets

2016-12-01 · COLING 2016 12 · Javid Ebrahimi, Dejing Dou, Daniel Lowd

Classifying the stance expressed in online microblogging social media is an emerging problem in opinion mining. We propose a probabilistic approach to stance classification in tweets, which models stance, target of stanc…

Argument MiningClassificationGeneral ClassificationOpinion Mining+4

``All I know about politics is what I read in Twitter'': Weakly Supervised Models for Extracting Politicians' Stances From Twitter

2016-12-01 · COLING 2016 12 · Kristen Johnson, Dan Goldwasser

During the 2016 United States presidential election, politicians have increasingly used Twitter to express their beliefs, stances on current political issues, and reactions concerning national and international events. G…

All

Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter

2019-09-12 · Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan, Tim Oates

Denial of Service (DoS) attacks are common in on-line and mobile services such as Twitter, Facebook and banking. As the scale and frequency of Distributed Denial of Service (DDoS) attacks increase, there is an urgent nee…

Robust Graph Meta-learning for Weakly-supervised Few-shot Node Classification

2021-06-12 · Kaize Ding, Jianling Wang, Jundong Li, James Caverlee 외

Graphs are widely used to model the relational structure of data, and the research of graph machine learning (ML) has a wide spectrum of applications ranging from drug design in molecular graphs to friendship recommendat…

ClassificationDrug DesignGraph LearningHallucination+3

Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

2022-07-01 · Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi 외

Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to much time and resource consumption. Weakly…

AttributeRelational ReasoningWeakly-supervised Learning