Officially supported AllenNLP models

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

R-net in PyTorch, with ELMo

Using pre trained word embeddings (Fasttext, Word2Vec)

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP

Cross-Lingual Alignment of Contextual Word Embeddings

NLP research experiments, built on PyTorch within the AllenNLP framework.

Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)

Few-shot classification in Named Entity Recognition Task

Custom Natural Language Processing with big and small models 🌲🌱

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

State-of-the-art NLP through transformer models in a modular design and consistent APIs.

本リポジトリは「AllenNLP入門」のソースコード置き場です。

A Word Level Transformer layer based on PyTorch and 🤗 Transformers.

Bi-encoder Based Entity Linking Tutorial. You can run experiment only in 5 minutes. Experiments on Co-lab pro GPU are also supported!

Code for "Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation". [AAAI 2021]

Combining Distant and Direct Supervision for Neural Relation Extraction

Zero-shot Entity Linking with blitz start in 3 minutes. Hard negative mining and encoder for all entities are also included in this implementation.