Name: Philipp Christmann
Type: User
Company: Max Planck Institute for Informatics
Bio: I am a PhD student at the at the Max Planck Institute for Informatics. My research focuses on Question Answering and Knowledge Graphs.
Twitter: PhilippChr97
Location: Saarbrücken, Germany
Blog: https://people.mpi-inf.mpg.de/~pchristm/
Philipp Christmann's Projects
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.
Implementation of a post-hoc cleaning module for CLOCQ, that can help to apply CLOCQ on entity or relation linking tasks.
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 at
Code for our SIGIR 2022 paper. CONVINSE is a framework for conversational question answering (ConvQA) over heterogeneous information sources.
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
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.
FAITH code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
Fusion-in-Decoder -> To run on standard CPU/GPU
TIQ code and data for our WWW'24 paper "Faithful Temporal Qestion Answering over Heterogeneous Sources"
Project to prepare a n-triples wikidata dump for QA access.