Abstract
This paper addresses a drawback of many existing graph-based collective entity-linking approaches by introducing the new concept of Group Co-existence Strength (GCS). Doing so, this work proposes an approach to the collective linking of text documents which extends an existing recent approach by taking into account GCS for all possible groups of candidate entities along with standard attributes. Preliminary experimental results indicate that the proposed approach leads to performance gains with selected real world data.
| Original language | English |
|---|---|
| Pages (from-to) | 267-278 |
| Number of pages | 12 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2259 |
| Publication status | Published - 2018 |
| Event | 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2018 - Dublin, Ireland Duration: 6 Dec 2018 → 7 Dec 2018 |
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