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Found 7 papers, 1 papers with code
Training and Domain Adaptation for Supervised Text Segmentation
In this work, we focus on the domain transfer performance of supervised neural text segmentation in the educational domain.
Response Construct Tagging: NLP-Aided Assessment for Engineering Education
We further investigate multi-task training on the related task of sentiment classification, which improves our model’s performance to 55 F1.
Dependency Dialogue Acts -- Annotation Scheme and Case Study
DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes the multi-relational response structure of dialogues in addition to the dialogue acts and rhetorical relations.
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
Based on the insight that humans pay specific attention to movements, we use graphics interchange formats (GIFs) as a pivot to collect parallel sentences from monolingual annotators.
What Would a Teacher Do? Predicting Future Talk Moves
Recent advances in natural language processing (NLP) have the ability to transform how classroom learning takes place.
Energy and Policy Considerations for Deep Learning in NLP
Recent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data.
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
Word sense induction (WSI), which addresses polysemy by unsupervised discovery of multiple word senses, resolves ambiguities for downstream NLP tasks and also makes word representations more interpretable.
