Irony is an important device in human communication, both in everyday spoken conversations
as well as in written texts including books, websites, chats, reviews, and Twitter messages …

(中) 隨著社交媒體的發展, 網路上充斥著大量的訊息. 為了能夠快速地分析這些大量訊息中的正面
及負面情緒, 情緒分析已成為自然語言處理中重要的議題. 在不同類型的情感分析中, 諷刺偵測…

This paper is a novel study that views sarcasm detection in dialogue as a sequence
labeling task, where a dialogue is made up of a sequence of utterances. We create a …

… presented in four prior works: Buschmeier et al. (2014), Liebrecht et al. (2013), Joshi et al. …
For Buschmeier et al. (2014) for Word2Vec, we observe an improvement in F-score from 76.61…

This paper describes our participation in SemEval 2018 Task 3 on Irony Detection in Tweets.
We combine linguistic features with pre-trained activations of a neural network. The CNN is …

This paper describes the system used by the ValenTo team in the Task 11, Sentiment Analysis
of Figurative Language in Twitter, at SemEval 2015. Our system used a regression model …

Detecting sarcasm in text is a particularly challenging problem in computational semantics,
and its solution may vary across different types of text. We analyze the performance of a …

Giving machines the ability to detect sarcasm has been a long standing problem in Natural
Language Processing. Not being able to detect sarcasm may mislead the sentimental …

In the domain of Natural Language Processing (NLP), the interest in figurative language is
enhanced, especially in the last few years, thanks to the amount of linguistic data provided by …

Topic Models have been reported to be beneficial for aspect-based sentiment analysis. This
paper reports a simple topic model for sarcasm detection, a first, to the best of our knowledge…