Dr. Isaiah Onando Mulang’ left SDA. The profile below reflects the status at the point of his departure and is no longer updated.
Phd Student
Computer Science Institute
University of Bonn
Profiles: LinkedIn, Google Scholar
Endenicher Allee 19a, 53115 Bonn
University of Bonn, Computer Science
Short CV
Isaiah Onando Mulang’ is a PhD Student at the University of Bonn. Isaiah’ research interests are in the area of Matching NL relations to KG properties (Rules, embeddings & future PGM).
Research Interests
- Machine Learning & Deep Learning for NLP, KG, Social Media, and BI
- Distributional Semantics and Grammar
Projects
- ODINE
Publications
2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Inproceedings
In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, pp. 535–548, Association for Computational Linguistics, 2021.
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations Inproceedings
In: CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, pp. 89–99, ACM, 2021.
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata Inproceedings
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021, pp. 504–514, Association for Computational Linguistics, 2021.
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network Inproceedings
In: WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, pp. 1673–1685, ACM / IW3C2, 2021.
Knowledge Context for Entity and Relation Linking PhD Thesis
University of Bonn, Germany, 2021.
2020
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models Inproceedings
In: CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pp. 2157–2160, ACM, 2020.
Fine-tuning BERT with Focus Words for Explanation Regeneration Inproceedings
In: Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, ast SEM@COLING 2020, Barcelona, Spain (Online), December 12-13, 2020, pp. 125–130, Association for Computational Linguistics, 2020.
Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking Inproceedings
In: Web Information Systems Engineering - WISE 2020 - 21st International Conference, Amsterdam, The Netherlands, October 20-24, 2020, Proceedings, Part I, pp. 328–342, Springer, 2020.
2019
Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text Inproceedings
In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019, Minneapolis, MN, USA, June 2-7, 2019, Volume 1 (Long and Short Papers), pp. 2336–2346, Association for Computational Linguistics, 2019.
Team SVMrank: Leveraging Feature-rich Support Vector Machines for Ranking Explanations to Elementary Science Questions Inproceedings
In: Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019, pp. 90–100, Association for Computational Linguistics, 2019.
2017
Matching Natural Language Relations to Knowledge Graph Properties for Question Answering Inproceedings
In: Proceedings of the 13th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, The Netherlands, September 11-14, 2017, pp. 89–96, ACM, 2017.
Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking Inproceedings
In: Proceedings of the Knowledge Capture Conference, K-CAP 2017, Austin, TX, USA, December 4-6, 2017, pp. 31:1–31:8, ACM, 2017.