This paper describes a new shared task for humor understanding that attempts to eschew
the ubiquitous binary approach to humor detection and focus on comparative humor ranking …

Authorship attribution is the process of identifying the author of a text. Approaches to tackling
it have been conventionally divided into classification-based ones, which work well for small …

In this paper we employ an improved Siamese neural network to assess the semantic
similarity between sentences. Our model implements the function of inputting two sentences …

In this paper we present our system for detecting valence task. The major issue was to apply
a state-of-the-art system despite the small dataset provided: the system would quickly overfit …

Humor plays important role in human communication, which makes it important problem for
natural language processing. Prior work on the analysis of humor focuses on whether text is …

Humor identification in text is essential for natural language understanding, impacting
human–computer interactions and emotion recognition. This study introduces a novel …

The online medical community websites have attracted an increase number of users in
China. Patients post their questions on these sites and wait for professional answers from …

Abstract Automatic Keyphrase Extraction describes the process of extracting keywords or
keyphrases from the body of a document. To our knowledge until now all algorithms rely on …

This paper describes the system developed by the Antwerp Centre for Digital humanities
and literary Criticism [UAntwerp] for toxic span detection. We used a stacked generalisation …

With the increasing boom of social media, users can tweet about different events and topics
to convey their feelings and emotions. Among these, memes have been gaining popularity …