[2U1-IS-1b] Knowledge engineering

[2U1-IS-1b-05] Anaphora and semantic resolution by introducing multitasking into coreference algorithms

〇Theo Jean Poncelet¹, Tomoyuki Maekawa¹, Michita Imai¹ (1. Keio University)

[[Online, Regular]]

Keywords:Artificial Intelligence, Natural language processing, Coreference resolution, Bridging anaphora resolution

While the world of bridging anaphora resolution (BAR) is ruled by the multi-task algorithms, they are used to only perform BAR and not coreference resolution (CR). Furthermore, their pipelines are very demanding in terms of computational and spatial resources. We therefore propose to use the work of Dobrovolskii (2021) on CR and Yu and Poesio (2020) on multi-task BAR to create a multi-task and efficient algorithm that will be able to resolve both BAR and CR at the same time. We also demonstrate that, on top of its efficiency, the results of our algorithm are still competitive both in BAR and in CR with recent works.