Published February 21, 2024
| Version Nacer
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Neural Architecture for Conversational Entity Retrieval and the Baseline Models
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Description
Source code of Neural Architecture for Conversational Entity Retrieval (NACER), a feature-based neural architecture for KG candidate entity ranking in Conversational Entity Retrieval from DBpedia and the baseline models (BM25F, KV-MemNN, GENRE and LLaMa) used in Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov. Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. In Proceedings of the 2024 ACM Web Conference 2024 (WWW ’24).
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- Is supplement to
- Software: https://github.com/teanalab-NACER/NACER/tree/Nacer (URL)