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07/22/2023
Named Entity Resolution in Personal Knowledge Graphs
Entity Resolution (ER) is the problem of determining when two entities r...
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03/07/2023
Toward Defining a Domain Complexity Measure Across Domains
Artificial Intelligence (AI) systems planned for deployment in real-worl...
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02/15/2023
A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning
We conduct a pilot study selectively evaluating the cognitive abilities ...
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10/14/2022
Can Language Representation Models Think in Bets?
In recent years, transformer-based language representation models (LRMs)...
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10/03/2022
Understanding Substructures in Commonsense Relations in ConceptNet
Acquiring commonsense knowledge and reasoning is an important goal in mo...
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10/03/2022
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes
Recent work on transformer-based neural networks has led to impressive a...
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04/12/2022
Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing
Research has continued to shed light on the extent and significance of g...
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03/23/2022
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense
Programming machines with commonsense reasoning (CSR) abilities is a lon...
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11/10/2021
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter
Although multiple COVID-19 vaccines have been available for several mont...
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08/03/2021
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets
Although the recent rise and uptake of COVID-19 vaccines in the United S...
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03/01/2021
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach
Learning how to adapt and make real-time informed decisions in dynamic a...
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11/28/2020
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base
Acquiring commonsense knowledge and reasoning is recognized as an import...
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11/18/2020
Do Fine-tuned Commonsense Language Models Really Generalize?
Recently, transformer-based methods such as RoBERTa and GPT-3 have led t...
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07/27/2020
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
Schema.org has experienced high growth in recent years. Structured descr...
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07/16/2020
An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction
Emotion Cause Extraction (ECE) aims to identify emotion causes from a do...
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07/15/2019
Low-supervision urgency detection and transfer in short crisis messages
Humanitarian disasters have been on the rise in recent years due to the ...
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01/18/2018
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics
In social media like Twitter, hashtags carry a lot of semantic informati...
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01/17/2018
A Pipeline for Post-Crisis Twitter Data Acquisition
Due to instant availability of data on social media platforms like Twitt...
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12/05/2017
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining
In this paper, we describe and study the indicator mining problem in the...
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12/03/2017
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
Web-based human trafficking activity has increased in recent years but i...
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04/19/2017
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain
Word embeddings have made enormous inroads in recent years in a wide var...
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04/19/2017
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages
Extracting geographical tags from webpages is a well-motivated applicati...
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03/22/2017
Supervised Typing of Big Graphs using Semantic Embeddings
We propose a supervised algorithm for generating type embeddings in the ...
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03/09/2017
Information Extraction in Illicit Domains
Extracting useful entities and attribute values from illicit domains suc...
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09/20/2016