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04/22/2023
Understanding Lexical Biases when Identifying Gang-related Social Media Communications
Individuals involved in gang-related activity use mainstream social medi...
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02/14/2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
State-of-the-art AI models largely lack an understanding of the cause-ef...
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07/07/2022
Supervised Contrastive Learning Approach for Contextual Ranking
Contextual ranking models have delivered impressive performance improvem...
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12/10/2021
MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs
Occurrences of catastrophes such as natural or man-made disasters trigge...
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10/12/2021
Fast Forward Indexes for Efficient Document Ranking
Neural approaches, specifically transformer models, for ranking document...
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06/30/2021
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Automatic summarization of legal case documents is an important and prac...
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06/23/2021
Learnt Sparsity for Effective and Interpretable Document Ranking
Machine learning models for the ad-hoc retrieval of documents and passag...
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03/30/2021
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking
Recently introduced pre-trained contextualized autoregressive models lik...
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01/11/2021
Explain and Predict, and then Predict again
A desirable property of learning systems is to be both effective and int...
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07/12/2020
Stance Detection in Web and Social Media: A Comparative Study
Online forums and social media platforms are increasingly being used to ...
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10/05/2016