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04/17/2023
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning
Personalized news recommender systems help users quickly find content of...
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04/05/2023
Context-Aware Classification of Legal Document Pages
For many business applications that require the processing, indexing, an...
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03/07/2023
Making a Computational Attorney
This "blue sky idea" paper outlines the opportunities and challenges in ...
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12/27/2022
TegFormer: Topic-to-Essay Generation with Good Topic Coverage and High Text Coherence
Creating an essay based on a few given topics is a challenging NLP task....
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12/27/2022
A Survey on Knowledge-Enhanced Pre-trained Language Models
Natural Language Processing (NLP) has been revolutionized by the use of ...
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08/14/2022
Forgetting Fast in Recommender Systems
Users of a recommender system may want part of their data being deleted,...
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04/05/2022
Micro-Behavior Encoding for Session-based Recommendation
Session-based Recommendation (SR) aims to predict the next item for reco...
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09/17/2021
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information?
Models designed for intelligent process automation are required to be ca...
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09/05/2021
Recommendation Fairness: From Static to Dynamic
Driven by the need to capture users' evolving interests and optimize the...
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08/13/2020
Process Discovery for Structured Program Synthesis
A core task in process mining is process discovery which aims to learn a...
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01/15/2020
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
This is the Proceedings of the AAAI-20 Workshop on Intelligent Process A...
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01/08/2020
On the Evaluation of Intelligent Process Automation
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to...
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01/08/2020
On the Evaluation of Intelligence Process Automation
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to...
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05/24/2019
SCRAM: Spatially Coherent Randomized Attention Maps
Attention mechanisms and non-local mean operations in general are key in...
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03/13/2019
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Financial market forecasting is one of the most attractive practical app...
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09/11/2018
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Deep Q-learning has achieved a significant success in single-agent decis...
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07/06/2018
On the Equilibrium of Query Reformulation and Document Retrieval
In this paper, we study the interactions between query reformulation and...
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03/23/2016