PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding
Overview & Synopsis
The Scholarly Question Answering over Linked Data (Scholarly QALD) at The International Semantic Web Conference (ISWC) 2023 challenge presents two sub-tasks to tackle question answering (QA) over knowledge graphs (KGs). We answer the KGQA over DBLP (DBLP-QUAD) task by proposing a neuro-symbolic (NS) framework based on PSYCHIC, an extractive QA model capable of identifying the query and entities related to a KG question. Our system achieved a F1 score of 00.18% on question answering and came in third place for entity linking (EL) with a score of 71.00%.
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hal.science)
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Document Information
| Document Title | PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering Grounding |
|---|---|
| Author / Organization | Hanna Abi Akl |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-200708 |
| Original Source Link | Visit Source Page on hal.science » |