  The CrisisFACTS Track aims to tackle challenges such as multi-stream
fact-finding in the domain of event tracking; participants' systems extract
important facts from several disaster-related events while incorporating the
temporal order. We propose a combination of retrieval, reranking, and the
well-known Integer Linear Programming (ILP) and Maximal Marginal Relevance
(MMR) frameworks. In the former two modules, we explore various methods
including an entity-based baseline, pre-trained and fine-tuned Question
Answering systems, and ColBERT. We then use the latter module as an extractive
summarization component by taking diversity and novelty criteria into account.
The automatic scoring runs show strong results across the evaluation setups but
also reveal shortcomings and challenges.
