Feature location is the activity of identifying an initial location in the source code that
implements functionality in a software system. Many feature location techniques have been …

Statistical language models have recently been successfully applied to many information
retrieval problems. A great deal of recent work has shown that statistical language models …

Retrieval-augmented generation (RAG) is a technique that enhances the capabilities of
large language models (LLMs) by incorporating external knowledge sources. This method …

This paper provides a unified account of two schools of thinking in information retrieval
modelling: the generative retrieval focusing on predicting relevant documents given a query …

The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

There has been a recent wave of work assessing the fairness of machine learning models in
general, and more specifically, on natural language processing (NLP) models built using …

The large number of potential applications from bridging web data with knowledge bases
have led to an increase in the entity linking research. Entity linking is the task to link entity …

The core of information retrieval (IR) is to identify relevant information from large-scale
resources and return it as a ranked list to respond to user's information need. In recent years …

Accurate and effective latent concept modeling for ad hoc information retrieval | Cairn.info
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