uclnlp / inferbeddings
Injecting Background Knowledge in Neural Models via Adversarial Set Regularisation
☆60Updated 6 years ago
Alternatives and similar repositories for inferbeddings:
Users that are interested in inferbeddings are comparing it to the libraries listed below
- ☆21Updated 6 years ago
- Max-Margin Markov Graph Models for WordNet (EMNLP 2018)☆41Updated 4 years ago
- Hierarchical Embeddings for Hypernymy Detection and Directionality☆27Updated 4 years ago
- GAKE: Graph Aware Knowledge Embedding(COLING2016)☆28Updated 6 years ago
- ☆84Updated 5 years ago
- Analogical inference for knowledge graph completion☆72Updated 7 years ago
- Commonsense Inference on Events, Intents, and Reactions☆43Updated 5 years ago
- Code and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linki…☆42Updated 5 years ago
- Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018☆64Updated 6 years ago
- Label Noise Reduction in Entity Typing (KDD'16)☆52Updated 7 years ago
- A Hierarchical Type system for fine grained entity typing☆49Updated 5 years ago
- Original implementation of QA4IE☆25Updated 3 years ago
- Neural Architectures for Fine Grained Entity Type Classification☆86Updated 7 years ago
- FIGMENT☆15Updated 5 years ago
- TextGraphs-13 Shared Task on Multi-Hop Inference Explanation Regeneration☆43Updated 5 years ago
- ☆14Updated 6 years ago
- Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.☆50Updated 3 years ago
- Integrated path-based and distributional method for hypernymy detection☆84Updated 8 years ago
- Parser for Abstract Meaning Representation☆45Updated 4 years ago
- Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings☆19Updated 6 years ago
- Integrating Local Context and Global Cohesiveness for Open Information Extraction(WSDM'19)☆35Updated 6 years ago
- Embedding Projection for Knowledge Graph Completion☆75Updated 6 years ago
- Code for NAACL19 Paper "How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection"☆42Updated 5 years ago
- Neural Relation Extraction in Pytorch☆19Updated 6 years ago
- STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)☆54Updated 7 years ago
- simple QA over knowledge graphs on DBpedia☆25Updated 6 years ago
- Datasets for Question Answering by Search and Reading☆69Updated 7 years ago
- Convolutional network for entity linking (Naacl 2016)☆57Updated 8 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 6 years ago
- this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"☆65Updated 7 years ago