In this paper, we consider the problem of linking users across multiple online communities.
Specifically, we focus on the alias-disambiguation step of this user linking task, which is …

Many private and/or public organizations have been reported to create and monitor targeted
Twitter streams to collect and understand users' opinions about the organizations. Targeted …

Clicks on search results are the most widely used behavioral signals for predicting search
satisfaction. Even though clicks are correlated with satisfaction, they can also be noisy …

We contribute 5-gram counts and language models trained on the Common Crawl corpus, a
collection over 9 billion web pages. This release improves upon the Google n-gram counts …

Social media language contains huge amount and wide variety of nonstandard tokens,
created both intentionally and unintentionally by the users. It is of crucial importance to …

Nowadays, it is very important to quickly recognize the false information referred to as fake
news. This is especially important in the case of news appearing on the Internet because of …

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

Twitter has attracted millions of users to share and disseminate most up-to-date information,
resulting in large volumes of data produced everyday. However, many applications in …

This paper presents a new unsupervised approach to generating ultra-concise summaries of
opinions. We formulate the problem of generating such a micropinion summary as an …

Despite the impressive performance of Large Language Models (LLM) for various natural
language processing tasks, little is known about their comprehension of geographic data …