textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior
Paper
•
1810.03947
•
Published
•
1
topics
-
-
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Paper • 2010.01057 • Published • 1 -
Topic Discovery in Massive Text Corpora Based on Min-Hashing
Paper • 1807.00938 • Published -
How Many Topics? Stability Analysis for Topic Models
Paper • 1404.4606 • Published -
Latent Tree Models for Hierarchical Topic Detection
Paper • 1605.06650 • Published -
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation
Paper • 2112.05364 • Published • 1 -
Measuring Thematic Fit with Distributional Feature Overlap
Paper • 1707.05967 • Published -
Unsupervised Dialogue Topic Segmentation in Hyperdimensional Space
Paper • 2308.10464 • Published -
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
Paper • 2106.12978 • Published -
Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation
Paper • 2305.02747 • Published -
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
Paper • 2310.11772 • Published -
SECTOR: A Neural Model for Coherent Topic Segmentation and Classification
Paper • 1902.04793 • Published -
Neural Topic Modeling with Bidirectional Adversarial Training
Paper • 2004.12331 • Published