With the rapid development of information technologies, implementation visual content has become a complementary component social discourse, particularly in media and news sectors. In this respect, it is increasingly important to pay huge attention literacy relevant processing. Sarcasm, one most widely used language choices can easily be part any or article. Sarcastic remarks are for numerous r...

Here we extend the information on the structure of the core stimulus of the studyforrest project (http://studyforrest.org) with a description of semantic conflict in the "Forrest Gump" movie. Three observers annotated the movie independently regarding episodes with portrayal of lies, irony or sarcasm. We present frequency statistics, and inter-observer reliability measures that qualify and quan...

NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and specific hashtags as forms of distant supervision. Our paper shows that by extending the distant supervision to a more diverse set of noisy labels, the models can learn richer representations. Through emoji prediction o...

Upward communication strategies were investigated at six university presidential BBS in Taiwan. A 12 CMC upward influence strategies scheme was developed including demand, facts, questioning, comparing, hitchhiking, rational persuasion, feelings only, sarcasm, inspirational appeals, ingratiating, alliance, and threatening. Two major research questions were proposed asking about the differences ...

Automatically detecting verbal irony (roughly, sarcasm) is a challenging task because ironists say something other than – and often opposite to – what they actually mean. Discerning ironic intent exclusively from the words and syntax comprising texts (e.g., tweets, forum posts) is therefore not always possible: additional contextual information about the speaker and/or the topic at hand is ofte...

Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic levels. To address this, we propose to augment traditional features used for sentiment analysis and sarcasm detection, with cognitive features derived from the eye-movement patterns of readers. Statistical classification using our enhanced feature set improves ...

This paper proposes a simple test for compositionality (i.e., literal usage) of a word or phrase in a context-specific way. The test is computationally simple, relying on no external resources and only uses a set of trained word vectors. Experiments show that the proposed method is competitive with state of the art and displays high accuracy in context-specific compositionality detection of a v...

Recent years have witnessed a rather vibrant debate about Grice’s cancellability test. To demonstrate the validity of test, this essay provides critical review debate, covering sarcasm objection, intentionality objection and entailment objection. It is found that bone contention versus non-cancellability concerns its approach, scope feasibility, test survives these objections relatively unscath...