Ranking models lie at the heart of research on information retrieval (IR). During the past
decades, different techniques have been proposed for constructing ranking models, from …

Pre-trained transformer models, such as BERT and T5, have shown to be highly effective at
ad hoc passage and document ranking. Due to the inherent sequence length limits of these …

Nonfactoid question answering (QA) is one of the most extensive yet challenging
applications and research areas in natural language processing (NLP). Existing methods fall …

As an alternative to question answering methods based on feature engineering, deep
learning approaches such as convolutional neural networks (CNNs) and Long Short-Term …

Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of bag-of-words
retrievers. At the same time, deep language models have been shown to outperform …

Considering the widespread use of mobile and voice search, answer passage retrieval for
non-factoid questions plays a critical role in modern information retrieval systems. Despite …

With the rise in mobile and voice search, answer passage retrieval acts as a critical
component of an effective information retrieval system for open domain question answering …

Retrieving finer grained text units such as passages or sentences as answers for non-factoid
Web queries is becoming increasingly important for applications such as mobile Web …

We aim at summarizing answers in community question-answering (CQA). While most
previous work focuses on factoid question-answering, we focus on the non-factoid question …

When asked, large language models~(LLMs) like ChatGPT claim that they can assist with
relevance judgments but it is not clear whether automated judgments can reliably be used in …