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Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling

Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2022 Data Science and Engineering  
To address these deficiencies, we offer an unsupervised framework that performs entity alignment in the open world. Specifically, we first mine useful features from the side information of KGs.  ...  Furthermore, noticing that the pseudo-labeled data are of various qualities, we introduce the concept of confidence to measure the probability of an entity pair of being true and develop a confidence-based  ...  [36] propose an unsupervised approach toward knowledge graph alignment with the adversarial training framework. Nevertheless, the experimental results are extremely poor. He et al.  ... 
doi:10.1007/s41019-022-00178-4 fatcat:l6gzlz6bzrgn5d2gxvoreoua64

A Proposed Model for Improving the Performance of Knowledge Bases in Real-World Applications by Extracting Semantic Information

Abdelrahman Elsharif Karrar
2022 International Journal of Advanced Computer Science and Applications  
The results are then used to explore the feasibility of applying knowledge bases to real-world tasks such as user-centric information access by encoding entities with deep semantic knowledge.  ...  The objective of this paper is to explore the concept of information extraction as a technique for accelerating the performance of knowledge bases with minimal annotation efforts for real-world applications  ...  Another research paper [22] proposed an efficient confidence estimation approach for IE outputs based on machine learning models.  ... 
doi:10.14569/ijacsa.2022.0130214 fatcat:h6vbprjcg5gexkcsmllnftxsqa

The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging [article]

Barbara Plank, Sigrid Klerke, Zeljko Agic
2018 arXiv   pre-print
This paper seeks to fill this gap by providing the first thorough analysis on the contributions of lexical resources for cross-lingual PoS tagging in neural times.  ...  In natural language processing, the deep learning revolution has shifted the focus from conventional hand-crafted symbolic representations to dense inputs, which are adequate representations learned automatically  ...  Reliable sentence and word alignments fortunately yield to unsupervised approaches.  ... 
arXiv:1811.08757v1 fatcat:lqlktsaeyfau7dxy5kocp22kwi

The Impact of Negative Sampling on Contrastive Structured World Models [article]

Ondrej Biza and Elise van der Pol and Thomas Kipf
2021 arXiv   pre-print
In previously studied Atari datasets, we show that leveraging time step correlations can double the performance of the Contrastive Structured World Model.  ...  In this paper, we describe three cases where small changes in how we sample negative states in the contrastive loss lead to drastic changes in model performance.  ...  Acknowledgments This work was supported by the Intel Corporation, the 3M Corporation, National Science Foundation (1724257, 1724191, 1763878, 1750649, 1835309), NASA (80NSSC19K1474), startup funds from  ... 
arXiv:2107.11676v1 fatcat:hzidwhjfizc3fecijvgv6zj4he

Grounded Language Learning in a Simulated 3D World [article]

Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps (+1 others)
2017 arXiv   pre-print
This facility for generalising and bootstrapping semantic knowledge indicates the potential of the present approach for reconciling ambiguous natural language with the complexity of the physical world.  ...  Here we present an agent that learns to interpret language in a simulated 3D environment where it is rewarded for the successful execution of written instructions.  ...  We have taken an important step towards this goal by describing an agent that learns to execute a large number of multi-word instructions in a simulated three-dimensional world, with no pre-programming  ... 
arXiv:1706.06551v2 fatcat:t5o6raiopjhefmrs5b4ejgf5wm

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

Zafar Saeed, Rabeeh Ayaz Abbasi, Onaiza Maqbool, Abida Sadaf, Imran Razzak, Ali Daud, Naif Radi Aljohani, Guandong Xu
2019 Journal of Grid Computing  
Twitter presents an interesting opportunity for detecting events happening around the world.  ...  In the last few years, Twitter has become a popular platform for sharing opinions, experiences, news, and views in real-time.  ...  Their model classifies tweets into pre-defined categories using an unsupervised classification model and assigns each user to one of the 32 teams participating in the football World Cup using geographical  ... 
doi:10.1007/s10723-019-09482-2 fatcat:lypwnpnmonb3laa3koftllchby

Scaling Out-of-Distribution Detection for Real-World Settings [article]

Dan Hendrycks and Steven Basart and Mantas Mazeika and Andy Zou and Joe Kwon and Mohammadreza Mostajabi and Jacob Steinhardt and Dawn Song
2022 arXiv   pre-print
To make future work in real-world settings possible, we create new benchmarks for three large-scale settings.  ...  We conduct extensive experiments in these more realistic settings for out-of-distribution detection and find that a surprisingly simple detector based on the maximum logit outperforms prior methods in  ...  Then, MaxLogit combined with ODIN results in an FPR95 of 33.6, an AUROC of 88.8 and an AUPR of 51.3 on ImageNet. On Places365, the FPR95 is 35.3, the AUROC is 86.5, and the AUPR is 24.2.  ... 
arXiv:1911.11132v4 fatcat:6d235jsui5cjbciufvbxn65vcy

A Survey of Embedding Space Alignment Methods for Language and Knowledge Graphs [article]

Alexander Kalinowski, Yuan An
2020 arXiv   pre-print
Neural embedding approaches have become a staple in the fields of computer vision, natural language processing, and more recently, graph analytics.  ...  We provide a classification of the relevant alignment techniques and discuss benchmark datasets used in this field of research.  ...  Rather than rely solely on labeled instances, semi-supervised approaches build from a set of seed aligned entities, iteratively building confidence in newly aligned pairs and expanding the set of training  ... 
arXiv:2010.13688v1 fatcat:npkzwukih5gwnkvng2fxy7ls5y

Real world big data for clinical research and drug development

Gurparkash Singh, Duane Schulthess, Nigel Hughes, Bart Vannieuwenhuyse, Dipak Kalra
2018 Drug Discovery Today  
The objective of this paper is to identify the extent to which real world data (RWD) is being utilized, or could be utilized, at scale in drug development.  ...  The field is still in an early phase of practical application, and is being harnessed broadly where it serves the most direct need in public health applications in early, rare and novel disease incidents  ...  ., a Janssen Bridges Associate, acknowledges the support from his home and host departments, and the Bridges Project Management Office during his Bridges Training.  ... 
doi:10.1016/j.drudis.2017.12.002 pmid:29294362 fatcat:x7h4lgmpprb4bnp2swef6ajnbm

Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs [article]

Alishiba Dsouza and Nicolas Tempelmeier and Elena Demidova
2021 arXiv   pre-print
Our experiments performed to align OSM datasets for several countries with two of the most prominent openly available knowledge graphs, namely, Wikidata and DBpedia, demonstrate that the proposed approach  ...  The resulting alignment facilitates new semantic annotations for over 10 million OSM entities worldwide, which is more than a 400% increase compared to the existing semantic annotations in OSM.  ...  NCA is an unsupervised two-step approach for tag-to-class alignment. Fig. 1 presents an overview of the proposed NCA approach architecture.  ... 
arXiv:2107.13257v1 fatcat:3oo4atyupngrjnq24xdcszzix4

An Experimental Study of State-of-the-Art Entity Alignment Approaches

Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian Suchanek
2020 IEEE Transactions on Knowledge and Data Engineering  
Entity alignment (EA) finds equivalent entities that are located in different knowledge graphs (KGs), which is an essential step to enhance the quality of KGs, and hence of significance to downstream applications  ...  In this paper, we fill in the gap by conducting a comprehensive evaluation and detailed analysis of state-of-the-art EA approaches.  ...  To align such entities, the task of multimodal entity alignment is worth further investigation [39] . • EA in the open world.  ... 
doi:10.1109/tkde.2020.3018741 fatcat:c3fs64qzijcqrmormwwr6r7t2i

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs [article]

Zequn Sun and Qingheng Zhang and Wei Hu and Chengming Wang and Muhao Chen and Farahnaz Akrami and Chengkai Li
2020 arXiv   pre-print
Entity alignment seeks to find entities in different knowledge graphs (KGs) that refer to the same real-world object.  ...  This study also produces an open-source library, which includes 12 representative embedding-based entity alignment approaches.  ...  We create a set of dedicated datasets that better fit real-world KGs and develop an open-source library containing a variety of entity alignment approaches and KG embedding models.  ... 
arXiv:2003.07743v1 fatcat:4afpdas2ojbknojdvdbsi26jri

Distilling Task Knowledge from How-To Communities

Cuong Xuan Chu, Niket Tandon, Gerhard Weikum
2017 Proceedings of the 26th International Conference on World Wide Web - WWW '17  
We employ Open-IE techniques to extract noisy candidates for tasks, steps and the required tools and other items.  ...  As an extrinsic use case, we evaluate automatically searching related YouTube videos for HowToKB tasks.  ...  Therefore, Open IE 4.2 is the best performing system. Open IE systems attach a confidence score to every SP O triple.  ... 
doi:10.1145/3038912.3052715 dblp:conf/www/ChuTW17 fatcat:ptecnbkaajdypfzwdchhbjsue4

The Tibetan Institutionalisation of Disputation: Understanding a Medieval Monastic Practice

Jonathan Samuels
2020 Medieval Worlds  
Through the clarification of boundaries, the identification of relevant historical sources, and by means of comparison with contemporary practice, it takes the first steps to understanding the evolution  ...  Within Europe, there developed what has been described as a »medieval culture of disputation«. 1 This description seems equally apt with regard to certain societies in Asia that had strong Buddhist scholarly  ...  I also wish to thank Dr George Fitzherbert for the part he played in creating the fellowship.  ... 
doi:10.1553/medievalworlds_no12_2020s96 fatcat:tqj3ve2usjh5dlhh2lx4hxe4r4

On the Trust and Trust Modelling for the Future Fully-Connected Digital World: A Comprehensive Study [article]

Hannah Lim Jing Ting, Xin Kang, Tieyan Li, Haiguang Wang, Cheng-Kang Chu
2021 arXiv   pre-print
Thus, in this survey, we do a comprehensive study on the trust and trust modelling for the future digital world.  ...  With the fast development of digital technologies, we are running into a digital world.  ...  security-oriented approach towards trust modelling.  ... 
arXiv:2106.07528v1 fatcat:l66wqpw4nvbdzgipvmy4h6itxi
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