In recent years, studies related to topic derivation in Twitter have gained a lot of interest from
businesses and academics. The interconnection between users and information has made …

Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …

Temporal commonsense reasoning refers to the ability to understand the typical temporal
context of phrases, actions, and events, and use it to reason over problems requiring such …

Given the ever-increasing prevalence of technology in modern life, there is a corresponding
increase in the likelihood of digital devices being pertinent to a criminal investigation or civil …

Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

Our world is constantly evolving, and so is the content on the web. Consequently, our
languages, often said to mirror the world, are dynamic in nature. However, most current …

In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

Cluster analysis and outlier detection are two continuously rising topics in data mining area,
which in fact connect to each other deeply. Cluster structure is vulnerable to outliers; …

The ambiguity in language expressions poses a great challenge for event detection. To
disambiguate event types, current approaches rely on external NLP toolkits to build …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …