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09/18/2023
Predictive Uncertainty-based Bias Mitigation in Ranking
Societal biases that are contained in retrieved documents have received ...
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07/11/2023
One-Versus-Others Attention: Scalable Multimodal Integration
Multimodal learning models have become increasingly important as they su...
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05/30/2023
Stable Anisotropic Regularization
Given the success of Large Language Models (LLMs), there has been consid...
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05/25/2023
Language Models Implement Simple Word2Vec-style Vector Arithmetic
A primary criticism towards language models (LMs) is their inscrutabilit...
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05/25/2023
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors
Sparse annotation poses persistent challenges to training dense retrieva...
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05/24/2023
Neural Summarization of Electronic Health Records
Hospital discharge documentation is among the most essential, yet time-c...
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03/07/2023
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
Cross-lingual summarization (CLS) has attracted increasing interest in r...
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02/13/2023
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
Large pre-trained language models contain societal biases and carry alon...
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01/03/2023
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG
Epilepsy is one of the most common neurological disorders, typically obs...
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09/30/2022
Linearly Mapping from Image to Text Space
The extent to which text-only language models (LMs) learn to represent t...
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07/05/2022
Pretraining on Interactions for Learning Grounded Affordance Representations
Lexical semantics and cognitive science point to affordances (i.e. the a...
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06/17/2022
Multimodal Attention-based Deep Learning for Alzheimer's Disease Diagnosis
Alzheimer's Disease (AD) is the most common neurodegenerative disorder w...
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05/31/2022
NEWTS: A Corpus for News Topic-Focused Summarization
Text summarization models are approaching human levels of fidelity. Exis...
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05/24/2022
Garden-Path Traversal within GPT-2
In recent years, massive language models consisting exclusively of trans...
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05/04/2022
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding
Research on knowledge graph embedding (KGE) has emerged as an active fie...
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12/16/2021
CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking
We present a framework for improving the performance of a wide class of ...
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11/20/2021
Image-Like Graph Representations for Improved Molecular Property Prediction
Research into deep learning models for molecular property prediction has...
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11/10/2021
A Novel Corpus of Discourse Structure in Humans and Computers
We present a novel corpus of 445 human- and computer-generated documents...
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08/16/2021
IsoScore: Measuring the Uniformity of Vector Space Utilization
The recent success of distributed word representations has led to an inc...
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08/08/2021
PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning Ranking Balance
Numerous neural retrieval models have been proposed in recent years. The...
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07/29/2021
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss
The goal of information retrieval is to recommend a list of document can...
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07/29/2021
The Cross-Lingual Arabic Information REtrieval (CLAIRE) System
Despite advances in neural machine translation, cross-lingual retrieval ...
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06/25/2021
A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models
Existing neural ranking models follow the text matching paradigm, where ...
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06/03/2021
SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain
In the pursuit of natural language understanding, there has been a long ...
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05/10/2021
Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models
In any ranking system, the retrieval model outputs a single score for a ...
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03/25/2021
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification
Electronic Health Records (EHRs) have become the primary form of medical...
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03/14/2021
TripClick: The Log Files of a Large Health Web Search Engine
Click logs are valuable resources for a variety of information retrieval...
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10/12/2020
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
Anginal symptoms can connote increased cardiac risk and a need for chang...
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10/06/2020
Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces
In politics, neologisms are frequently invented for partisan objectives....
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10/06/2020
A Transformer-based Framework for Multivariate Time Series Representation Learning
In this work we propose for the first time a transformer-based framework...
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09/08/2020
Brown University at TREC Deep Learning 2019
This paper describes Brown University's submission to the TREC 2019 Deep...
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06/24/2020
Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support
Many recent studies use machine learning to predict a small number of IC...
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06/24/2020
Mining Misdiagnosis Patterns from Biomedical Literature
Diagnostic errors can pose a serious threat to patient safety, leading t...
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04/15/2020
Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction
Interaction between pharmacological agents can trigger unexpected advers...
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08/22/2019
DC3 – A Diagnostic Case Challenge Collection for Clinical Decision Support
In clinical care, obtaining a correct diagnosis is the first step toward...
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11/13/2018
Embedding Electronic Health Records for Clinical Information Retrieval
Neural network representation learning frameworks have recently shown to...
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01/09/2018
Biomedical Question Answering via Weighted Neural Network Passage Retrieval
The amount of publicly available biomedical literature has been growing ...
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01/08/2018
Web2Text: Deep Structured Boilerplate Removal
Web pages are a valuable source of information for many natural language...
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07/31/2017
Evaluating Music Recommender Systems for Groups
Recommendation to groups of users is a challenging and currently only pa...
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12/01/2016
Neural Document Embeddings for Intensive Care Patient Mortality Prediction
We present an automatic mortality prediction scheme based on the unstruc...
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06/24/2016
Efficient Parallel Learning of Word2Vec
Since its introduction, Word2Vec and its variants are widely used to lea...
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05/24/2016
Computing Web-scale Topic Models using an Asynchronous Parameter Server
Topic models such as Latent Dirichlet Allocation (LDA) have been widely ...
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09/08/2015