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 …

Learning a similarity function between pairs of objects is at the core of learning to rank
approaches. In information retrieval tasks we typically deal with query-document pairs, in …

This year represents the fourth iteration of the TREC Microblog track, which has been
running since 2011. The track continued using the “evaluation as a service” model [8, 7], in …

Short text is one of the data formats usually generated by people on social media, for
instance, tweets on Twitter. They are often used as data to analyze what is trending in the …

Social networking services are online platforms that are distributed across different
computers over long distances. Twitter is the most popular microblogging site that allows …

Sentiment classification is a topic-sensitive task, ie, a classifier trained from one topic will
perform worse on another. This is especially a problem for the tweets sentiment analysis …

Sentiment classification is an important problem in tweets mining. There lack labeled data
and rating mechanism for generating them in Twitter service. And topics in Twitter are more …

Creating systems that can interpret and manage the ambiguity and subjectivity of the
representation and retrieval of information is one of the issues facing information systems …

Most sentence embedding models typically represent each sentence only using word
surface, which makes these models indiscriminative for ubiquitous homonymy and …

With the amount and variety of information available on digital repositories, answering
complex user needs and personalizing information access became a hard task. Putting the …