gazetteer-NER-acl19

Officially supported AllenNLP models

chatbot_ner: Named Entity Recognition for chatbots.

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.

Using pre trained word embeddings (Fasttext, Word2Vec)

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

Cross-Lingual Alignment of Contextual Word Embeddings

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.

Template Extraction from unstructured Wikipedia text using NLP techniques.

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