Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation.
Sebastian GehrmannSteven LayneFranck DernoncourtPublished in: CoRR (2019)
Keyphrases
- semi markov
- conditional random fields
- keywords
- text generation
- information extraction
- higher order
- crf model
- graphical models
- hidden markov models
- probabilistic model
- human generated
- database
- network architecture
- text documents
- free text
- text mining
- pairwise
- information retrieval
- random fields
- named entity recognition
- human behavior
- computer vision
- generation process
- reading comprehension
- contextual features
- maximum entropy
- markov random field
- natural language processing
- human subjects
- associative memory
- superpixels
- computational models
- bio inspired
- human experts
- semantic segmentation
- web documents
- graph cuts
- cognitive process
- video sequences
- neural network