1 code implementation • 8 May 2024 • Yihan Mei, Xinyu Wang, Dell Zhang, Xiaoling Wang
Our findings indicate that the application of spectral normalization to joint energy scores notably amplifies the model's capability for OOD detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
no code implementations • 16 Apr 2024 • Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
Predicting legal judgments with reliable confidence is paramount for responsible legal AI applications.
no code implementations • 16 Apr 2024 • Ubaid Azam, Imran Razzak, Shelly Vishwakarma, Hakim Hacid, Dell Zhang, Shoaib Jameel
AI-driven medical predictions with trustworthy confidence are essential for ensuring the responsible use of AI in healthcare applications.
no code implementations • 19 Oct 2023 • Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour
This is the Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23) which took place in conjunction with the 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023) at the University of Birmingham, Birmingham, UK on Sunday 22nd October 2023.
no code implementations • 17 Apr 2023 • Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang
Personalized news recommender systems help users quickly find content of their interests from the sea of information.
no code implementations • 5 Apr 2023 • Pavlos Fragkogiannis, Martina Forster, Grace E. Lee, Dell Zhang
For many business applications that require the processing, indexing, and retrieval of professional documents such as legal briefs (in PDF format etc.
no code implementations • 7 Mar 2023 • Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier
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 capable of helping human lawyers with a wide range of complex high-level legal tasks such as drafting legal briefs for the prosecution or defense in court.
no code implementations • 27 Dec 2022 • Wang Qi, Rui Liu, Yuan Zuo, Yong Chen, Dell Zhang
Creating an essay based on a few given topics is a challenging NLP task.
no code implementations • 27 Dec 2022 • Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, Dell Zhang
Natural Language Processing (NLP) has been revolutionized by the use of Pre-trained Language Models (PLMs) such as BERT.
no code implementations • 14 Aug 2022 • Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li
In this paper, we investigate fast machine unlearning techniques for recommender systems that can remove the effect of a small amount of training data from the recommendation model without incurring the full cost of retraining.
no code implementations • 5 Apr 2022 • Jiahao Yuan, Wendi Ji, Dell Zhang, Jinwei Pan, Xiaoling Wang
Specifically, we identify two different patterns of micro-behaviors: "sequential patterns" and "dyadic relational patterns".
1 code implementation • 17 Sep 2021 • Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, Andre Freitas
Even though BERT and similar pre-trained language models have excelled in several NLP tasks, their use has not been widely explored for the UI grounding domain.
no code implementations • 5 Sep 2021 • Dell Zhang, Jun Wang
Driven by the need to capture users' evolving interests and optimize their long-term experiences, more and more recommender systems have started to model recommendation as a Markov decision process and employ reinforcement learning to address the problem.
no code implementations • 13 Aug 2020 • Dell Zhang, Alexander Kuhnle, Julian Richardson, Murat Sensoy
A core task in process mining is process discovery which aims to learn an accurate process model from event log data.
no code implementations • 15 Jan 2020 • Dell Zhang, Andre Freitas, DaCheng Tao, Dawn Song
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.
no code implementations • 24 May 2019 • Dan A. Calian, Peter Roelants, Jacques Cali, Ben Carr, Krishna Dubba, John E. Reid, Dell Zhang
The central idea of SCRAM is to employ PatchMatch, a randomized correspondence algorithm, to quickly pinpoint the most compatible key (argmax) for each query first, and then exploit that knowledge to design a sparse approximation to non-local mean operations.
1 code implementation • 13 Mar 2019 • Andrius Mudinas, Dell Zhang, Mark Levene
Financial market forecasting is one of the most attractive practical applications of sentiment analysis.
no code implementations • 11 Sep 2018 • Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Wei-Nan Zhang, Dell Zhang, Jun Wang, Han Liu
Deep Q-learning has achieved a significant success in single-agent decision making tasks.
Multiagent Systems
no code implementations • TACL 2018 • Andrius Mudinas, Dell Zhang, Mark Levene
There is often the need to perform sentiment classification in a particular domain where no labeled document is available.
no code implementations • TACL 2018 • Dell Zhang, Jiahao Yuan, Xiaoling Wang, Adam Foster
In data-to-text Natural Language Generation (NLG) systems, computers need to find the right words to describe phenomena seen in the data.
3 code implementations • 30 May 2017 • Jun Wang, Lantao Yu, Wei-Nan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, Dell Zhang
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 query, and the discriminative retrieval focusing on predicting relevancy given a query-document pair.
no code implementations • 23 Mar 2016 • Martyn Harris, Mark Levene, Dell Zhang, Dan Levene
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 work in quantifying the content of any textual corpora through approximate phrase search and document comparison.
1 code implementation • 23 Oct 2011 • 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.