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20132025
most citedAutomatic Detection of Fake News

379 citations · 780 across the 76 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.CL2021

How Well Do You Know Your Audience? Toward Socially-aware Question Generation

Ian Stewart, Rada Mihalcea

When writing, a person may need to anticipate questions from their audience, but different social groups may ask very different types of questions. If someone is writing about a pr…

cs.CL2021

Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health

Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An +1

Many statistical models have high accuracy on test benchmarks, but are not explainable, struggle in low-resource scenarios, cannot be reused for multiple tasks, and cannot easily i…

cs.CV2021

WhyAct: Identifying Action Reasons in Lifestyle Vlogs

Oana Ignat, Santiago Castro, Hanwen Miao +2

We aim to automatically identify human action reasons in online videos. We focus on the widespread genre of lifestyle vlogs, in which people perform actions while verbally describi…

cs.CL2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Deepanway Ghosal, Pengfei Hong, Siqi Shen +3

Commonsense inference to understand and explain human language is a fundamental research problem in natural language processing. Explaining human conversations poses a great challe…

cs.CL2021★ 25 cited

Exploring Self-Identified Counseling Expertise in Online Support Forums

Allison Lahnala, Yuntian Zhao, Charles Welch +5

A growing number of people engage in online health forums, making it important to understand the quality of the advice they receive. In this paper, we explore the role of expertise…

cs.CL2021★ 1 cited

Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika +3

The majority of existing methods for empathetic response generation rely on the emotion of the context to generate empathetic responses. However, empathy is much more than generati…

cs.CL2021

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

Zhijing Jin, Geeticka Chauhan, Brian Tse +2

Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications. Noting th…

cs.CL2021★ 1 cited

MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task

Yiqun Yao, Michalis Papakostas, Mihai Burzo +2

The capability to automatically detect human stress can benefit artificial intelligent agents involved in affective computing and human-computer interaction. Stress and emotion are…

cs.CL2021★ 1 cited

Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media

MeiXing Dong, Xueming Xu, Yiwei Zhang +2

Many people aim for change, but not everyone succeeds. While there are a number of social psychology theories that propose motivation-related characteristics of those who persist w…

cs.CL2021

Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News

Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas +1

In this paper, we explore the construction of natural language explanations for news claims, with the goal of assisting fact-checking and news evaluation applications. We experimen…

cs.CV2021

FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework

Santiago Castro, Ruoyao Wang, Pingxuan Huang +5

We propose fill-in-the-blanks as a video understanding evaluation framework and introduce FIBER -- a novel dataset consisting of 28,000 videos and descriptions in support of this e…

cs.SD2021★ 2 cited

Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction

Allison Lahnala, Gauri Kambhatla, Jiajun Peng +6

Natural language processing methods have been applied in a variety of music studies, drawing the connection between music and language. In this paper, we expand those approaches by…