Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …

This article surveys topic distributions of the academic literature that employs the terms
bibliometrics, scientometrics, and informetrics. This exploration allows informing on the …

Recent work has presented intriguing results examining the knowledge contained in
language models (LMs) by having the LM fill in the blanks of prompts such as “Obama is a …

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 …

Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …

Abstract Most Reading Comprehension methods limit themselves to queries which can be
answered using a single sentence, paragraph, or document. Enabling models to combine …

Video summarization is a challenging problem in part because knowing which part of a
video is important requires prior knowledge about its main topic. We present TVSum, an …

With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Systematic reviews, a cornerstone of evidence-based medicine, are not produced quickly
enough to support clinical practice. The cost of production, availability of the requisite …

Query expansion is a widely used technique to improve the recall of search systems. In this
paper, we propose an approach to query expansion that leverages the generative abilities of …