Coherence Modeling
Related Papers
Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches
AbstractSentences in a well-formed text are connected to each other via various links to form the cohesive structure of the text. Current neural machine translation (NMT) systems translate a text …...
Incremental Neural Lexical Coherence Modeling
AbstractPretrained language models, neural models pretrained on massive amounts of data, have established the state of the art in a range of NLP tasks. They are based on a modern …...
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks
AbstractAlthough coherence modeling has come a long way in developing novel models, their evaluation on downstream applications for which they are purportedly developed has largely been neglected. With the advancements …...
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks
AbstractCoherence is an important aspect of text quality, and various approaches have been applied to coherence modeling. However, existing methods solely focus on a single document’s coherence patterns, ignoring the …...