Cross-lingual summarization consists of generating a summary in one lang...
While conditional generation models can now generate natural language we...
Large language models (LLMs) have been shown to perform well in answerin...
Widely used evaluation metrics for text generation either do not work we...
The ability to convey relevant and faithful information is critical for ...
Commonsense reasoning systems should be able to generalize to diverse
re...
Customer reviews are vital for making purchasing decisions in the Inform...
Metadata attributes (e.g., user and product IDs from reviews) can be
inc...
Recent work on opinion summarization produces general summaries based on...
The recent success of deep learning techniques for abstractive summariza...
We present the Quantized Transformer (QT), an unsupervised system for
ex...
Transformer-based pre-trained language models (PLMs) have dramatically
i...
The supervised training of high-capacity models on large datasets contai...
Can a text classifier generalize well for datasets where the text length...
Opinion summarization is the task of automatically generating summaries ...
Text attributes, such as user and product information in product reviews...
This paper describes our system, Joint Encoders for Stable Suggestion
In...
The performance of text classification has improved tremendously using
i...
Word sense induction (WSI), or the task of automatically discovering mul...
The task of answering a question given a text passage has shown great
de...
In sentence classification tasks, additional contexts, such as the
neigh...
The use of user/product information in sentiment analysis is important,
...
A major proportion of a text summary includes important entities found i...
This paper aims at an aspect sentiment model for aspect-based sentiment
...