568 citations · 652 across the 12 of their papers we have counts for
12 papers
Making a Computational Attorney
Dell Zhang, Frank Schilder, Jack G. Conrad +3
This "blue sky idea" paper outlines the opportunities and challenges in data mining and machine learning involving making a computational attorney -- an intelligent software agent…
Process Discovery for Structured Program Synthesis
Dell Zhang, Alexander Kuhnle, Julian Richardson +1
A core task in process mining is process discovery which aims to learn an accurate process model from event log data. In this paper, we propose to use (block-) structured programs…
On the Evaluation of Intelligent Process Automation
Deborah Ferreira, Julia Rozanova, Krishna Dubba +2
Intelligent Process Automation (IPA) is emerging as a sub-field of AI to support the automation of long-tail processes which requires the coordination of tasks across different sys…
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)
Dell Zhang, Andre Freitas, Dacheng Tao +1
This is the Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20) which took place in New York, NY, USA on February 7th 2020.
SCRAM: Spatially Coherent Randomized Attention Maps
Dan A. Calian, Peter Roelants, Jacques Cali +4
Attention mechanisms and non-local mean operations in general are key ingredients in many state-of-the-art deep learning techniques. In particular, the Transformer model based on m…
Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Andrius Mudinas, Dell Zhang, Mark Levene
Financial market forecasting is one of the most attractive practical applications of sentiment analysis. In this paper, we investigate the potential of using sentiment \emph{attitu…
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Ming Zhou, Yong Chen, Ying Wen +5
Deep Q-learning has achieved significant success in single-agent decision making tasks. However, it is challenging to extend Q-learning to large-scale multi-agent scenarios, due to…
On the Equilibrium of Query Reformulation and Document Retrieval
Shihao Zou, Guanyu Tao, Jun Wang +2
In this paper, we study jointly query reformulation and document relevance estimation, the two essential aspects of information retrieval (IR). Their interactions are modelled as a…
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang, Lantao Yu, Weinan Zhang +5
This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a quer…
The Anatomy of a Search and Mining System for Digital Archives
Martyn Harris, Mark Levene, Dell Zhang +1
Samtla (Search And Mining Tools with Linguistic Analysis) is a digital humanities system designed in collaboration with historians and linguists to assist them with their research…
Wikipedia Edit Number Prediction based on Temporal Dynamics Only
Dell Zhang
In this paper, we describe our approach to the Wikipedia Participation Challenge which aims to predict the number of edits a Wikipedia editor will make in the next 5 months. The be…
Self-Taught Hashing for Fast Similarity Search
Dell Zhang, Jun Wang, Deng Cai +1
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sema…