Current methods for generating attractive headlines often learn directly...
Fine-grained emotion classification (FEC) is a challenging task.
Specifi...
Generating engaging content has drawn much recent attention in the NLP
c...
Automated fact checking systems have been proposed that quickly provide
...
An engaging and provocative question can open up a great conversation. I...
Automatic identification of salient aspects from user reviews is especia...
Datasets with induced emotion labels are scarce but of utmost importance...
Writing a coherent and engaging story is not easy. Creative writers use ...
The use of crowdworkers in NLP research is growing rapidly, in tandem wi...
We present an overview of the EmotionGIF2020 Challenge, held at the 8th
...
Many English-as-a-second language learners have trouble using near-synon...
Sarcasm detection is an important task in affective computing, requiring...
Researchers have begun to utilize heterogeneous knowledge graphs (KGs) a...
With the rapid proliferation of online media sources and published news,...
Understanding dynamic scenes and dialogue contexts in order to converse ...
Stories are diverse and highly personalized, resulting in a large possib...
We present an overview of the EmotionX 2019 Challenge, held at the 7th
I...
With increasing information from social media, there are more and more v...
Knowing how to use words appropriately has been a key to improving langu...
In relation extraction for knowledge-based question answering, searching...
In this paper, we introduceDixit, an interactive visual storytelling sys...
Recent deep learning methods for recommendation systems are highly
sophi...
Visual storytelling includes two important parts: coherence between the ...
Feeling emotion is a critical characteristic to distinguish people from
...
We present MoodSwipe, a soft keyboard that suggests text messages given ...
Instant messaging is one of the major channels of computer mediated
comm...
Most neural network models for document classification on social media f...