The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …

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 …

The goal of high-recall information retrieval (HRIR) is to find all or nearly all relevant
documents for a search topic. In this paper, we present the design of our system that affords …

This paper outlines a conceptual framework for understanding recent developments in
information retrieval and natural language processing that attempts to integrate dense and …

We describe a static, open-access news corpus using data from the Common Crawl
Foundation, who provide free, publicly available web archives, including a continuous crawl …

The Text Retrieval Conference (TREC) Incident Streams track is a new initiative that aims to
mature social media-based emergency response technology. This initiative advances the …

The increasing volume of textual information on any topic requires its compression to allow
humans to digest it. This implies detecting the most important information and condensing it …

Nonprofit crowdsourcing platforms such as food recovery organizations rely on volunteers to
perform time-sensitive tasks. Thus, their success crucially depends on efficient volunteer …

Timeline summarization (TLS) automatically identifies key dates of major events and
provides short descriptions of what happened on these dates. Previous approaches to TLS …

The development of deep neural networks and the emergence of pre-trained language
models such as BERT allow to increase performance on many NLP tasks. However, these …