b'Rada Mihalcea'

research

∙ 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...

0 Oana Ignat, et al. ∙

research

∙ 06/21/2023

Misinformation as Information Pollution

Social media feed algorithms are designed to optimize online social enga...

0 Ashkan Kazemi, et al. ∙

research

∙ 06/09/2023

Can Large Language Models Infer Causation from Correlation?

Causal inference is one of the hallmarks of human intelligence. While th...

0 Zhijing Jin, et al. ∙

research

∙ 05/30/2023

Scalable Performance Analysis for Vision-Language Models

Joint vision-language models have shown great performance over a diverse...

22 Santiago Castro, et al. ∙

research

∙ 05/24/2023

You Are What You Annotate: Towards Better Models through Annotator Representations

Annotator disagreement is ubiquitous in natural language processing (NLP...

0 Naihao Deng, et al. ∙

research

∙ 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...

0 Naihao Deng, et al. ∙

research

∙ 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...

6 Oana Ignat, et al. ∙

research

∙ 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...

0 Fernando González, et al. ∙

research

∙ 05/02/2023

Psychologically-Inspired Causal Prompts

NLP datasets are richer than just input-output pairs; rather, they carry...

0 Zhiheng Lyu, et al. ∙

research

∙ 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...

0 Yingting Li, et al. ∙

research

∙ 02/07/2023

Natural Language Processing for Policymaking

Language is the medium for many political activities, from campaigns to ...

0 Zhijing Jin, et al. ∙

research

∙ 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...

0 Justus Mattern, et al. ∙

research

∙ 12/05/2022

Editing a Woman's Voice

Prior work shows that men and women speak with different levels of confi...

0 Anna Costello, et al. ∙

research

∙ 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...

0 Deepanway Ghosal, et al. ∙

research

∙ 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...

2 Ashkan Kazemi, et al. ∙

research

∙ 10/06/2022

Multiview Contextual Commonsense Inference: A New Dataset and Task

Contextual commonsense inference is the task of generating various types...

14 Siqi Shen, et al. ∙

research

∙ 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...

8 Zhijing Jin, et al. ∙

research

∙ 09/14/2022

WildQA: In-the-Wild Video Question Answering

Existing video understanding datasets mostly focus on human interactions...

9 Santiago Castro, et al. ∙

research

∙ 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...

5 MeiXing Dong, et al. ∙

research

∙ 07/12/2022

Using Paraphrases to Study Properties of Contextual Embeddings

We use paraphrases as a unique source of data to analyze contextualized ...

4 Laura Burdick, et al. ∙

research

∙ 03/25/2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

This paper addresses the problem of dialogue reasoning with contextualiz...

1 Deepanway Ghosal, et al. ∙

research

∙ 02/28/2022

Logical Fallacy Detection

Reasoning is central to human intelligence. However, fallacious argument...

28 Zhijing Jin, et al. ∙

research

∙ 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 ...

5 Oana Ignat, et al. ∙

research

∙ 02/14/2022

Matching Tweets With Applicable Fact-Checks Across Languages

An important challenge for news fact-checking is the effective dissemina...

21 Ashkan Kazemi, et al. ∙

research

∙ 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...

11 Ian Stewart, et al. ∙

research

∙ 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...

0 Andrew Lee, et al. ∙

research

∙ 09/06/2021

WhyAct: Identifying Action Reasons in Lifestyle Vlogs

We aim to automatically identify human action reasons in online videos. ...

5 Oana Ignat, et al. ∙

research

∙ 09/06/2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge

Sentence order prediction is the task of finding the correct order of se...

12 Deepanway Ghosal, et al. ∙

research

∙ 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...

2 Allison Lahnala, et al. ∙

research

∙ 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...

7 Navonil Majumder, et al. ∙

research

∙ 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...

8 Zhijing Jin, et al. ∙

research

∙ 06/01/2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Commonsense inference to understand and explain human language is a fund...

17 Deepanway Ghosal, et al. ∙

research

∙ 05/17/2021

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

The capability to automatically detect human stress can benefit artifici...

5 Yiqun Yao, et al. ∙

research

∙ 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...

12 MeiXing Dong, et al. ∙

research

∙ 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...

11 Ashkan Kazemi, et al. ∙

research

∙ 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...

1 Santiago Castro, et al. ∙

research

∙ 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...

4 Allison Lahnala, et al. ∙

research

∙ 12/22/2020

Recognizing Emotion Cause in Conversations

Recognizing the cause behind emotions in text is a fundamental yet under...

13 Soujanya Poria, et al. ∙

research

∙ 12/11/2020

Improving Zero Shot Learning Baselines with Commonsense Knowledge

Zero shot learning – the problem of training and testing on a completely...

7 Abhinaba Roy, et al. ∙

research

∙ 11/11/2020

Exploring the Value of Personalized Word Embeddings

In this paper, we introduce personalized word embeddings, and examine th...

4 Charles Welch, et al. ∙

research

∙ 11/02/2020

Biased TextRank: Unsupervised Graph-Based Content Extraction

We introduce Biased TextRank, a graph-based content extraction method in...

11 Ashkan Kazemi, et al. ∙

research

∙ 11/01/2020

Deep Learning for Text Attribute Transfer: A Survey

Driven by the increasingly larger deep learning models, neural language ...

13 Di Jin, et al. ∙

research

∙ 10/06/2020

Compositional Demographic Word Embeddings

Word embeddings are usually derived from corpora containing text from ma...

7 Charles Welch, et al. ∙

research

∙ 10/06/2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

In this paper, we address the task of utterance level emotion recognitio...

0 Deepanway Ghosal, et al. ∙

research

∙ 10/04/2020

MIME: MIMicking Emotions for Empathetic Response Generation

Current approaches to empathetic response generation view the set of emo...

0 Navonil Majumder, et al. ∙

research

∙ 09/29/2020

Improving Low Compute Language Modeling with In-Domain Embedding Initialisation

Many NLP applications, such as biomedical data and technical support, ha...

0 Charles Welch, et al. ∙

research

∙ 09/29/2020

Utterance-level Dialogue Understanding: An Empirical Study

The recent abundance of conversational data on the Web and elsewhere cal...

0 Deepanway Ghosal, et al. ∙

research

∙ 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...

1 Laura Biester, et al. ∙

research

∙ 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...

0 Charles Welch, et al. ∙

research

∙ 05/31/2020

"Judge me by my size (noun), do you?” YodaLib: A Demographic-Aware Humor Generation Framework

The subjective nature of humor makes computerized humor generation a cha...

0 Aparna Garimella, et al. ∙

Rada Mihalcea

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