Research in Image Generation has recently made significant progress,
par...
Text Summarization is a popular task and an active area of research for ...
Language models generate texts by successively predicting probability
di...
Generative Adversarial Networks (GANs) have known a tremendous success f...
Transformer-based pre-training techniques of text and layout have proven...
Due to the discrete nature of words, language GANs require to be optimiz...
Automatic evaluation remains an open research question in Natural Langua...
In this paper, we explore how QuestEval, which is a Text-vs-Text metric,...
Summarization evaluation remains an open research problem: current metri...
Coupled with the availability of large scale datasets, deep learning
arc...
In the context of chit-chat dialogues it has been shown that endowing sy...
Motivated by the lack of data for non-English languages, in particular f...
Training regimes based on Maximum Likelihood Estimation (MLE) suffer fro...
We present MLSUM, the first large-scale MultiLingual SUMmarization datas...
Pre-trained language models such as BERT have recently contributed to
si...
We introduce a novel approach for sequence decoding, Discriminative
Adve...
We propose a novel text generation task, namely Curiosity-driven Questio...
Abstractive summarization approaches based on Reinforcement Learning (RL...
Several lexica for sentiment analysis have been developed and made avail...
In this paper, we describe a methodology to infer Bullish or Bearish
sen...
Studying free-standing conversational groups (FCGs) in unstructured soci...
This article provides a comprehensive investigation on the relations bet...