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CONVEX
Code for our CIKM 2019 paper. As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found atwikidata-core-for-QA
Project to prepare a n-triples wikidata dump for QA access.CLOCQ
Code for our WSDM 2022 paper. CLOCQ is a framework which allows efficient access to knowledge bases (KB) for functionalities related to question answering (QA). CLOCQ can retrieve a set of relevant facts from the KB for a given user question. Further, it provides efficient retrieval of KB-neighborhoods, KB-connectivities and labels, aliases etc.CONVINSE
Code for our SIGIR 2022 paper. CONVINSE is a framework for conversational question answering (ConvQA) over heterogeneous information sources.EXPLAIGNN
Code for our SIGIR 2023 paper. EXPLAIGNN provides a pipeline for conversational question answering (ConvQA) over heterogeneous sources, and code for iterative graph neural networks (GNNs). Such iterative GNNs can help to causally explaignn GNN outputs.Love Open Source and this site? Check out how you can help us