5 papers
Traceable Drug Recommendation over Medical Knowledge Graphs
Yu Lin, Zhen Jia, Philipp Christmann +3
Drug recommendation (DR) systems aim to support healthcare professionals in selecting appropriate medications based on patients' medical conditions. State-of-the-art approaches uti…
The ReQAP System for Question Answering over Personal Information
Philipp Christmann, Gerhard Weikum
Personal information is abundant on users' devices, from structured data in calendar, shopping records or fitness tools, to unstructured contents in mail and social media posts. Th…
Recursive Question Understanding for Complex Question Answering over Heterogeneous Personal Data
Philipp Christmann, Gerhard Weikum
Question answering over mixed sources, like text and tables, has been advanced by verbalizing all contents and encoding it with a language model. A prominent case of such heterogen…
RAG-based Question Answering over Heterogeneous Data and Text
Philipp Christmann, Gerhard Weikum
This article presents the QUASAR system for question answering over unstructured text, structured tables, and knowledge graphs, with unified treatment of all sources. The system ad…
Retrieving Contextual Information for Long-Form Question Answering using Weak Supervision
Philipp Christmann, Svitlana Vakulenko, Ionut Teodor Sorodoc +2
Long-form question answering (LFQA) aims at generating in-depth answers to end-user questions, providing relevant information beyond the direct answer. However, existing retrievers…