Role Embedding
0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Role Embedding
Latest papers with no code
Learning Roles with Emergent Social Value Orientations
Social dilemmas can be considered situations where individual rationality leads to collective irrationality.
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder
DialogueBERT was pre-trained with 70 million dialogues in real scenario, and then fine-tuned in three different downstream dialogue understanding tasks.
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme
We present a novel method for embedding trees in a vector space based on Tensor-Product Representations (TPRs) which allows for inversion: the retrieval of the original tree structure and nodes from the vectorial embedding.
Supervising Unsupervised Open Information Extraction Models
We propose a novel supervised open information extraction (Open IE) framework that leverages an ensemble of unsupervised Open IE systems and a small amount of labeled data to improve system performance.
Temporal Analysis of Reddit Networks via Role Embeddings
Inspired by diachronic word analysis from the field of natural language processing, we propose an approach for uncovering temporal insights regarding user roles from social networks using graph embedding methods.
