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05/25/2023
Extracting Text Representations for Terms and Phrases in Technical Domains
Extracting dense representations for terms and phrases is a task of grea...
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10/24/2022
Unsupervised Term Extraction for Highly Technical Domains
Term extraction is an information extraction task at the root of knowled...
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05/15/2022
Textual Explanations and Critiques in Recommendation Systems
Artificial intelligence and machine learning algorithms have become ubiq...
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05/13/2022
Interlock-Free Multi-Aspect Rationalization for Text Classification
Explanation is important for text classification tasks. One prevalent ty...
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05/05/2022
Assistive Recipe Editing through Critiquing
There has recently been growing interest in the automatic generation of ...
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04/05/2022
Positive and Negative Critiquing for VAE-based Recommenders
Providing explanations for recommended items allows users to refine the ...
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07/13/2021
Multi-Step Critiquing User Interface for Recommender Systems
Recommendations with personalized explanations have been shown to increa...
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05/11/2021
Rationalization through Concepts
Automated predictions require explanations to be interpretable by humans...
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05/03/2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems
Recent studies have shown that providing personalized explanations along...
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04/26/2021
Recommending Burgers based on Pizza Preferences: Addressing Data Sparsity with a Product of Experts
In this paper we describe a method to tackle data sparsity and create re...
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12/07/2020
An Enhanced MeanSum Method For Generating Hotel Multi-Review Summarizations
Multi-document summaritazion is the process of taking multiple texts as ...
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09/19/2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context
Simulating online recommender system performance is notoriously difficul...
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09/10/2020
Momentum-based Gradient Methods in Multi-objective Recommender Systems
Multi-objective gradient methods are becoming the standard for solving m...
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09/09/2020
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
The goal of fairness in classification is to learn a classifier that doe...
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05/22/2020
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing
Supporting recommendations with personalized and relevant explanations i...
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02/17/2020
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
Today, recommender systems are an inevitable part of everyone's daily di...
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02/17/2020
GameWikiSum: a Novel Large Multi-Document Summarization Dataset
Today's research progress in the field of multi-document summarization i...
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12/09/2019
Multi-Gradient Descent for Multi-Objective Recommender Systems
Recommender systems need to mirror the complexity of the environment the...
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09/25/2019
Multi-Dimensional Explanation of Reviews
Neural models achieved considerable improvement for many natural languag...
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09/20/2019
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization
Linking facts across documents is a challenging task, as the language us...
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09/26/2017
