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09/12/2023
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
We introduce the task of automatic human action co-occurrence identifica...
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06/21/2023
Misinformation as Information Pollution
Social media feed algorithms are designed to optimize online social enga...
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06/09/2023
Can Large Language Models Infer Causation from Correlation?
Causal inference is one of the hallmarks of human intelligence. While th...
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05/30/2023
Scalable Performance Analysis for Vision-Language Models
Joint vision-language models have shown great performance over a diverse...
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05/24/2023
You Are What You Annotate: Towards Better Models through Annotator Representations
Annotator disagreement is ubiquitous in natural language processing (NLP...
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05/23/2023
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
The performance of current supervised AI systems is tightly connected to...
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05/21/2023
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models
Recent progress in large language models has enabled the deployment of m...
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05/09/2023
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
With the recent advances in natural language processing (NLP), a vast nu...
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05/02/2023
Psychologically-Inspired Causal Prompts
NLP datasets are richer than just input-output pairs; rather, they carry...
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03/02/2023
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding
Fine-tuning is widely used as the default algorithm for transfer learnin...
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02/07/2023
Natural Language Processing for Policymaking
Language is the medium for many political activities, from campaigns to ...
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12/20/2022
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing
Generated texts from large pretrained language models have been shown to...
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12/05/2022
Editing a Woman's Voice
Prior work shows that men and women speak with different levels of confi...
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10/29/2022
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering
We propose a simple refactoring of multi-choice question answering (MCQA...
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10/14/2022
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery
We propose a novel system to help fact-checkers formulate search queries...
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10/06/2022
Multiview Contextual Commonsense Inference: A New Dataset and Task
Contextual commonsense inference is the task of generating various types...
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10/04/2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
AI systems are becoming increasingly intertwined with human life. In ord...
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09/14/2022
WildQA: In-the-Wild Video Question Answering
Existing video understanding datasets mostly focus on human interactions...
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08/23/2022
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience
The COVID-19 pandemic disrupted everyone's life across the world. In thi...
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07/12/2022
Using Paraphrases to Study Properties of Contextual Embeddings
We use paraphrases as a unique source of data to analyze contextualized ...
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03/25/2022
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
This paper addresses the problem of dialogue reasoning with contextualiz...
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02/28/2022
Logical Fallacy Detection
Reasoning is central to human intelligence. However, fallacious argument...
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02/16/2022
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
We consider the task of temporal human action localization in lifestyle ...
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02/14/2022
Matching Tweets With Applicable Fact-Checks Across Languages
An important challenge for news fact-checking is the effective dissemina...
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10/16/2021
How Well Do You Know Your Audience? Reader-aware Question Generation
When writing, a person may need to anticipate questions from their reade...
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09/28/2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Many statistical models have high accuracy on test benchmarks, but are n...
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09/06/2021
WhyAct: Identifying Action Reasons in Lifestyle Vlogs
We aim to automatically identify human action reasons in online videos. ...
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09/06/2021
STaCK: Sentence Ordering with Temporal Commonsense Knowledge
Sentence order prediction is the task of finding the correct order of se...
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06/24/2021
Exploring Self-Identified Counseling Expertise in Online Support Forums
A growing number of people engage in online health forums, making it imp...
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06/22/2021
Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
The majority of existing methods for empathetic response generation rely...
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06/04/2021
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact
Recent years have seen many breakthroughs in natural language processing...
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06/01/2021
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
Commonsense inference to understand and explain human language is a fund...
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05/17/2021
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task
The capability to automatically detect human stress can benefit artifici...
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05/17/2021
Room to Grow: Understanding Personal Characteristics Behind Self Improvement Using Social Media
Many people aim for change, but not everyone succeeds. While there are a...
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04/27/2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News
In this paper, we explore the construction of natural language explanati...
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04/09/2021
Fill-in-the-blank as a Challenging Video Understanding Evaluation Framework
Work to date on language-informed video understanding has primarily addr...
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02/04/2021
Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
Natural language processing methods have been applied in a variety of mu...
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12/22/2020
Recognizing Emotion Cause in Conversations
Recognizing the cause behind emotions in text is a fundamental yet under...
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12/11/2020
Improving Zero Shot Learning Baselines with Commonsense Knowledge
Zero shot learning – the problem of training and testing on a completely...
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11/11/2020
Exploring the Value of Personalized Word Embeddings
In this paper, we introduce personalized word embeddings, and examine th...
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11/02/2020
Biased TextRank: Unsupervised Graph-Based Content Extraction
We introduce Biased TextRank, a graph-based content extraction method in...
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11/01/2020
Deep Learning for Text Attribute Transfer: A Survey
Driven by the increasingly larger deep learning models, neural language ...
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10/06/2020
Compositional Demographic Word Embeddings
Word embeddings are usually derived from corpora containing text from ma...
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10/06/2020
COSMIC: COmmonSense knowledge for eMotion Identification in Conversations
In this paper, we address the task of utterance level emotion recognitio...
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10/04/2020
MIME: MIMicking Emotions for Empathetic Response Generation
Current approaches to empathetic response generation view the set of emo...
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09/29/2020
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation
Many NLP applications, such as biomedical data and technical support, ha...
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09/29/2020
Utterance-level Dialogue Understanding: An Empirical Study
The recent abundance of conversational data on the Web and elsewhere cal...
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09/08/2020
Quantifying the Effects of COVID-19 on Mental Health Support Forums
The COVID-19 pandemic, like many of the disease outbreaks that have prec...
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07/07/2020
Expressive Interviewing: A Conversational System for Coping with COVID-19
The ongoing COVID-19 pandemic has raised concerns for many regarding per...
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05/31/2020
