Evaluating Answer Reranking Strategies in Time-sensitive Question Answering
This work addresses the challenge of time-sensitive question answering for users needing accurate historical information, but it is incremental as it explores existing techniques rather than introducing new methods.
The paper tackled the problem of handling temporal information in question answering by evaluating simple answer selection techniques, finding that temporal features are crucial for selecting relevant answers from diachronic collections and highlighting differences between explicit and implicit temporal questions.
Despite advancements in state-of-the-art models and information retrieval techniques, current systems still struggle to handle temporal information and to correctly answer detailed questions about past events. In this paper, we investigate the impact of temporal characteristics of answers in Question Answering (QA) by exploring several simple answer selection techniques. Our findings emphasize the role of temporal features in selecting the most relevant answers from diachronic document collections and highlight differences between explicit and implicit temporal questions.