REALTIME QA: what's the answer right now?

J Kasai, K Sakaguchi, R Le Bras… - Advances in …, 2024 - proceedings.neurips.cc
We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …

A proposed conceptual framework for a representational approach to information retrieval

J Lin - ACM SIGIR Forum, 2022 - dl.acm.org
This paper outlines a conceptual framework for understanding recent developments in
information retrieval and natural language processing that attempts to integrate dense and …

The mela bitchute dataset

MZ Trujillo, M Gruppi, C Buntain… - Proceedings of the …, 2022 - ojs.aaai.org
In this paper we present a near-complete dataset of over 3M videos from 61K channels over
2.5 years (June 2019 to December 2021) from the social video hosting platform BitChute, a …

Enhancing crisis-related tweet classification with entity-masked language modeling and multi-task learning

P Seeberger, K Riedhammer - arXiv preprint arXiv:2211.11468, 2022 - arxiv.org
Social media has become an important information source for crisis management and
provides quick access to ongoing developments and critical information. However …

Combining deep neural reranking and unsupervised extraction for multi-query focused summarization

P Seeberger, K Riedhammer - arXiv preprint arXiv:2302.01148, 2023 - arxiv.org
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 …

ModelOps for enhanced decision-making and governance in emergency control rooms

K Lefevre, C Arora, K Lee, A Zaslavsky… - … Systems and Decisions, 2022 - Springer
For mission critical (MC) applications such as bushfire emergency management systems
(EMS), understanding the current situation as a disaster unfolds is critical to saving lives …

Multi-Query Focused Disaster Summarization via Instruction-Based Prompting

P Seeberger, K Riedhammer - arXiv preprint arXiv:2402.09008, 2024 - arxiv.org
Automatic summarization of mass-emergency events plays a critical role in disaster
management. The second edition of CrisisFACTS aims to advance disaster summarization …

[PDF][PDF] Incident Streams 2021 Off the Deep End: Deeper Annotations and Evaluations in Twitter.

C Buntain, R McCreadie, I Soboroff - ISCRAM, 2022 - idl.iscram.org
This paper summarizes the final year of the four-year Text REtrieval Conference Incident
Streams track (TREC-IS), which has produced a large dataset comprising 136,263 …

Adapting Transformers for Detecting Emergency Events on Social Media

E Boros, G Lejeune, M Coustaty… - … Conference on Knowledge …, 2022 - hal.science
Detecting emergency events on social media could facilitate disaster monitoring by
categorizing and prioritizing tweets in catastrophic situations to assist emergency service …

Information Type Classification with Contrastive Task-Specialized Sentence Encoders

P Seeberger, T Bocklet, K Riedhammer - arXiv preprint arXiv:2312.11020, 2023 - arxiv.org
User-generated information content has become an important information source in crisis
situations. However, classification models suffer from noise and event-related biases which …