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Found 16 papers, 6 papers with code
PerKGQA: Question Answering over Personalized Knowledge Graphs
The above concerns motivate our question answer- ing setting over personalized knowledge graphs (PERKGQA) where each user has restricted access to their KG.
R3 : Refined Retriever-Reader pipeline for Multidoc2dial
In this paper, we present our submission to the DialDoc shared task based on the MultiDoc2Dial dataset.
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining
In this paper, we discuss our submission for DialDoc subtask 1.
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
Hate speech is regarded as one of the crucial issues plaguing the online social media.
When Fair Ranking Meets Uncertain Inference
Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algorithm.
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
Our experiments reveal the asymmetry of power roles in non-collaborative goal-directed conversations and the benefits accrued from incorporating resisting strategies on the final conversation outcome.
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
The notion of face refers to the public self-image of an individual that emerges both from the individual's own actions as well as from the interaction with others.
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
In this paper we describe our submission for the task of Propaganda Span Identification in news articles.
Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities
The few prior works that attempted matching only considered the resources, and no attempt has been made to understand other aspects of needs/availabilities that are essential for matching in practice.
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching.
Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets
To address the dearth of annotated training data for medical entity linking, we present WikiMed and PubMedDS, two large-scale medical entity linking datasets, and demonstrate that pre-training MedType on these datasets further improves entity linking performance.
Analysing the Extent of Misinformation in Cancer Related Tweets
This helps spread awareness regarding the various causes, cures and prevention methods of cancer.
Public Sphere 2.0: Targeted Commenting in Online News Media
Because the readers lack the time to go over an entire article, most of the comments are relevant to only particular sections of an article.
Spread of hate speech in online social media
The present online social media platform is afflicted with several issues, with hate speech being on the predominant forefront.
Social and Information Networks
Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions
In particular, we observe that the choice to post the question as anonymous is dependent on the user's perception of anonymity and they often choose to speak about depression, anxiety, social ties and personal issues under the guise of anonymity.
'Senator, We Sell Ads': Analysis of the 2016 Russian Facebook Ads Campaign
The 2016 US presidential election stands out due to suspected foreign influence before, during, and after the election.
Social and Information Networks
