{"type":"ScholarlyArticle","title":"DAVE: A Framework for Assisted Analysis of Document Collections in Knowledge-Intensive Domains","authors":[{"name":"Ruben Agazzi","slug":"ruben-agazzi","given":"Ruben","family":"Agazzi","affiliation":""},{"name":"Renzo Alva Principe","slug":"renzo-alva-principe","given":"Renzo","family":"Alva Principe","affiliation":""},{"name":"Riccardo Pozzi","slug":"riccardo-pozzi","given":"Riccardo","family":"Pozzi","affiliation":""},{"name":"Marco Ripamonti","slug":"marco-ripamonti","given":"Marco","family":"Ripamonti","affiliation":""},{"name":"Matteo Palmonari","slug":"matteo-palmonari","given":"Matteo","family":"Palmonari","affiliation":""}],"abstract":"DAVE is a framework for assisting the analysis of documents in knowledge-intensive domains, based on an entity-centric approach supported by annotations of named entities in the documents. DAVE supports search & filtering, document exploration, question answering, and knowledge refinement. It is released as an open-source project that the community can further develop. DAVE’s distinguishing features are: the integration of a chatbot interface based on recent RAG solutions into well-established entity-powered faceted search, the fusion of search and filtering features provided by entity-level annotations with the capability to ask questions on annotated documents; human-in-the-loop functions to consolidate knowledge while exploring information, allowing users to improve annotations from NLP algorithms.","doi":"10.24963/ijcai.2025/1246","url":"https://ijcai.org/proceedings/2025/1246","pdf":"https://ijcai.org/proceedings/2025/1246.pdf","markdown":"https://ijcai.org/proceedings/2025/1246.md","bibtex":"https://ijcai.org/proceedings/2025/bibtex/1246","volume":{"slug":"2025","title":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2025","url":"https://ijcai.org/proceedings/2025/","year":2025,"location":"Montreal, Canada","dates":"16-22 August 2025","editors":"James Kwok","isbn":"978-1-956792-06-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2025"},"section":"Demo Track","track":"Demo Track","number":1246,"pages":{"first":10984,"last":10988},"keywords":["Search: S: Applications","Natural Language Processing: NLP: Named entities","Natural Language Processing: NLP: Question answering","Humans and AI: HAI: Human-AI collaboration"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}