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)

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

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.

This repo contains all the notebooks mentioned in blog.

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

Few-shot classification in Named Entity Recognition Task

Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.

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.

Athens NLP Summer School Labs

Template Extraction from unstructured Wikipedia text using NLP techniques.

本リポジトリは「AllenNLP入門」のソースコード置き場です。