A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text

Seveso, Andrea; Mercorio, Fabio; Mezzanzanica, Mario

doi:10.24963/ijcai.2021/690

A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text

Andrea Seveso, Fabio Mercorio, Mario Mezzanzanica

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4917-4918.

https://doi.org/10.24963/ijcai.2021/690

Keywords

Data Mining: Recommender Systems
Knowledge Representation and Reasoning: Semantic Web
Natural Language Processing: Knowledge Extraction
Humans and AI: Human-AI Collaboration

Abstract

Taxonomies provide a structured representation of semantic relations between lexical terms, acting as the backbone of many applications. The research proposed herein addresses the topic of taxonomy enrichment using an ”human-in-the-loop” semi-supervised approach. I will be investigating possible ways to extend and enrich a taxonomy using corpora of unstructured text data. The objective is to develop a methodological framework potentially applicable to any domain.

Andrea Seveso, Fabio Mercorio, and Mario Mezzanzanica. 2021. A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4917–4918. https://doi.org/10.24963/ijcai.2021/690

@inproceedings{ijcai2021p690,
  title     = {A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text},
  author    = {Seveso, Andrea and Mercorio, Fabio and Mezzanzanica, Mario},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4917--4918},
  year      = {2021},
  month     = {8},
  note      = {Doctoral Consortium},
  doi       = {10.24963/ijcai.2021/690},
  url       = {https://doi.org/10.24963/ijcai.2021/690},
}

TY  - CPAPER
TI  - A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text
AU  - Seveso, Andrea
AU  - Mercorio, Fabio
AU  - Mezzanzanica, Mario
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4917
EP  - 4918
DO  - 10.24963/ijcai.2021/690
UR  - https://doi.org/10.24963/ijcai.2021/690
ER  -