We present two new classes of algorithms for efficient field integration...
Large pre-trained language models have recently enabled open-ended gener...
Narrative summarization aims to produce a distilled version of a narrati...
Pretrained language models (PLMs) have been shown to accumulate factual
...
In this paper, we introduce the task of modeling interpersonal relations...
Opinion summarization is the task of creating summaries capturing popula...
Machine learning systems are often deployed for making critical decision...
Pre-trained models (PTMs) have lead to great improvements in natural lan...
A common method for extractive multi-document news summarization is to
r...
Opinion summarization is the task of automatically generating summaries ...
Text representations learned by machine learning models often encode
und...
Sarcasm detection is important for several NLP tasks such as sentiment
i...
Pre-trained language models learn socially harmful biases from their tra...
When reading a literary piece, readers often make inferences about vario...
The task of organizing a shuffled set of sentences into a coherent text ...
Automatically generating stories is a challenging problem that requires
...
Emotions and their evolution play a central role in creating a captivati...
Opinion summarization from online product reviews is a challenging task,...
Supervised machine learning assumes the availability of fully-labeled da...
Characterizing relationships between people is fundamental for the
under...
The ability to comprehend wishes or desires and their fulfillment is
imp...
Studying characters plays a vital role in computationally representing a...