Jan 17, 2021 · The purpose of the track was to investigate how effectively can search systems retrieve documents that are causally related to a specified query event.

The CAusality-based Information Retrieval (CAIR) track at FIRE 2021 focuses on the task of retrieving potentially relevant documents in response to a query ...

This paper describes an overview of the findings of the track named. 'Causality-driven Ad hoc Information Retrieval' (abbv. CAIR) at the Forum for Information ...

Jan 26, 2022 · The CAusality-based Information Retrieval (CAIR) track at FIRE 2021 focuses on the task of retrieving potentially relevant documents in ...

Dec 16, 2020 · Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020 ; FIRE '20, December 16–20, 2020, Hyderabad, India Suchana ...

Effective models of causality-based search can potentially be used to contextualize an event for the purpose of analysis and decision-making. In some cases, ...

Overview of the Causality-driven Adhoc Information Retrieval (CAIR) task at FIRE-2020 ; FIRE 2020: Forum for Information Retrieval Evaluation, Hyderabad, India, ...

In contrast to a traditional search system, a Causal Search System seeks to retrieve documents that provide information on the likely causes leading to a query ...

Dec 16, 2020 · This paper describes an overview of the track - 'Retrieval from Conversational Dialogues' (RCD) organized as a part of Forum of Information ...

This work aims to retrieve news documents that indicate possible causes of a query event and involves query expansion based on causality relation detection ...