We are building up a list of publicly available, state-of-the-art paper implementations built with AllenNLP, in an effort to make them easier to find and build upon. The projects featured here are developed both by the Allen Institute for AI and the larger community.
We started this website in March 2021, and are currently in the middle of filling it up with projects from the last few years. It's impossible for us to find every project using AllenNLP, so if you have a cool project that you think should be featured here, please submit it here by creating an issue.
Projects
- A sequence-to-sequence approach for document-level relation extraction
- SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
- SPECTER: Document-level Representation Learning using Citation-informed Transformers
- Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
- Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data
- Lexical Normalization for Code-switched Data and its Effect on POS Tagging
- DaN+: Danish Nested Named Entities and Lexical Normalization
- Biomedical Event Extraction as Sequence Labeling
- BART
- CopyNet
- Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP
- Variational Pretraining for Semi-supervised Text Classification
- Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
- Truecaser
- DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
- MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics
- Higher-order Coreference Resolution with Coarse-to-fine Inference
- ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
- Neural Module Networks for Reasoning over Text
- BiDAF
- Numerically Augmented QA Net
- ELMo-BiDAF
- Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
- Conditional Generation of Temporally-ordered Event Sequences
- TransformerQA
- Unsupervised Transfer of Semantic Role Models from Verbal to Nominal Domain