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accent

clocq

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 access to metadata such as labels, aliases or types.

conquer

Code for our SIGIR'21 paper "Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs"

convex

CONVEX is the first completely unsupervised method to deal with Conversational Question Answering over Knowledge Graphs.

crown

Code for our submission to the Conversational Assistance Track of the Text Retrieval Conference (TREC CAsT) 2019

csqa_code

cv-dashboard

elixir

ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models

exaqt

Code for our CIKM'21 paper "Complex Temporal Qestion Answering on Knowledge Graphs"

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.

fairy

graphlabapi

Automatically exported from code.google.com/p/graphlabapi

graphlabapi.graphlab3

Automatically exported from code.google.com/p/graphlabapi.graphlab3

nestedquerysegmentation

prince

querylmstudy

This repository contains all the code relevant to the query language model syntactic complexity project.

reign

Code for our WSDM'24 paper "Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation"

siri-incomplete-questions

Incomplete follow-up questions dataset used for comparison with SIRI for SIGIR 2017 paper

trec-cast-tools

Tools for the TREC CAsT benchmark

uniqorn

wikidata-core-for-qa

Project to prepare a n-triples wikidata dump for QA access.