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Found 6 papers, 4 papers with code
Centering-based Neural Coherence Modeling with Hierarchical Discourse Segments
We approximate a linguistic theory of coherence, Centering theory, which we use to track the changes of focus between discourse segments.
Countering the Influence of Essay Length in Neural Essay Scoring
In this work, we first show that state-of-the-art systems, recent neural essay scoring systems, might be also influenced by the correlation between essay length and scores in a standard dataset.
Ranked #2 on
Automated Essay Scoring
on ASAP
Entity-based Neural Local Coherence Modeling
We evaluate our model on three downstream tasks showing that it is not only linguistically more sound than previous models but also that it outperforms them in end applications.
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency
In this paper, we show that a simple self-supervised pre-trained audio model can achieve comparable inference efficiency to more complicated pre-trained models with speech transformer encoders.
Incremental Neural Lexical Coherence Modeling
We propose a coherence model which interprets sentences incrementally to capture lexical relations between them.
Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks
This work aims to investigate the use of deep neural network to detect commercial hobby drones in real-life environments by analyzing their sound data.
