Named Entity Recognition and Disambiguation (NERD) systems are foundational for information
retrieval, question answering, event detection, and other natural language processing (…

The worldwide adoption of Twitter turned it into one of the most popular platforms for content
analysis as it serves as a gauge of the public’s feeling and opinion on a variety of topics. …

Twitter has become one of the most important platforms for gathering information, where
users follow breaking news, track ongoing events and learn about their topics of interest. …

One of the important factors in the performance of sentiment analysis methods is having a
comprehensive sentiment lexicon. However, since sentiment words have different polarities …

Entity Linking (EL) is the gateway into Knowledge Bases. Recent advances in EL utilize
dense retrieval approaches for Candidate Generation, which addresses some of the …

This paper describes disambiguation of Farsi homographs in unrestricted text using
thesaurus and corpus. The proposed method is based on [1] with some differences. These …

This paper describes our participation in the mobile notification and email digest tasks in the
TREC 2015 Mircoblog track. The tasks are about monitoring Twitter stream and retrieving …

Users of microblogging social networks produce millions of short messages every day.
Retrieving relevant information to a particular event from this sheer volume of data is not a trivial …

Finding the cited text spans of a scientific article based on the citation text is a challenging
task. In this paper, we present our novel system to identify cited sentence (s) and their …

The rapid growth of Twitter has made it one of the most popular information sources of current
affairs. Twitter users gather information about their topics of interest through their followees…