Vinh Thinh Ho

Orcid: 0000-0003-1085-7801

According to our database1, Vinh Thinh Ho authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Quantity Knowledge Extraction and Search.
SIGWEB Newsl., 2023

Novel Feature Discovery for Task-Oriented Dialog Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Entities with quantities: extraction, search, and ranking.
PhD thesis, 2022

Enhancing Knowledge Bases with Quantity Facts.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Extracting Contextualized Quantity Facts from Web Tables.
Proceedings of the WWW '21: The Web Conference 2021, 2021

QuTE: Answering Quantity Queries from Web Tables.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Entities with Quantities: Extraction, Search, and Ranking.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Towards Utilizing Knowledge Graph Embedding Models for Conceptual Clustering.
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

Co-Clustering Triples from Open Information Extraction.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

2019
Qsearch: Answering Quantity Queries from Text.
Proceedings of the Semantic Web - ISWC 2019, 2019

2018
Rule Learning from Knowledge Graphs Guided by Embedding Models.
Proceedings of the Semantic Web - ISWC 2018, 2018

Learning Rules from Incomplete KGs using Embeddings.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Rule Induction and Reasoning over Knowledge Graphs.
Proceedings of the Reasoning Web. Learning, Uncertainty, Streaming, and Scalability, 2018


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