ceshine / pytorch-pretrained-BERTLinks
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
☆30Updated 6 years ago
Alternatives and similar repositories for pytorch-pretrained-BERT
Users that are interested in pytorch-pretrained-BERT are comparing it to the libraries listed below
Sorting:
- Hearst Patterns Revisited: Automatic Hypernym Detection from Large Text Corpora☆153Updated 4 years ago
- PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment☆108Updated 7 years ago
- SImple SenTence EmbeddeR☆74Updated 2 years ago
- A python library to compute rouge score for summarization☆57Updated 3 years ago
- A Corpus for Multilingual Document Classification in Eight Languages.☆152Updated 3 years ago
- Dataset for the Emerging & Novel Entity NER task (WNUT '17)☆112Updated 3 years ago
- Word Embeddings for Information Retrieval☆225Updated 2 years ago
- PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents☆95Updated 3 years ago
- Datasets I have created for scientific summarization, and a trained BertSum model☆116Updated 6 years ago
- A simple example for how to build your own model using AllenNLP as a dependency.☆113Updated 5 years ago
- Dict2vec is a framework to learn word embeddings using lexical dictionaries.☆116Updated 4 years ago
- An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarizat…☆107Updated 6 years ago
- The implementation of the paper "A Multi-task Approach for Named Entity Recognition on Social Media Data," which won the WNUT-2017 Shared…☆67Updated 8 years ago
- Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html☆140Updated 3 years ago
- Code for the AllenNLP demo.☆198Updated 2 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Python Framework for Extractive Text Summarization☆113Updated 4 years ago
- Fast, DB Backed pretrained word embeddings for natural language processing.☆224Updated 8 months ago
- Let's put all materials into this repository☆48Updated 5 years ago
- A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.☆67Updated 8 years ago
- Variational Methods for Pretraining in Resource-limited Environments☆174Updated 5 years ago
- Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation☆63Updated 7 years ago
- Gendered Ambiguous Pronouns Shared Task☆31Updated 3 years ago
- Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings☆96Updated 2 years ago
- Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF☆158Updated 4 years ago
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆158Updated 6 years ago
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆126Updated 5 years ago
- Python package for understanding the difficulty of text classification datasets. (in CoNNL 2018)☆64Updated 4 years ago
- Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging☆35Updated 5 years ago
- ☆73Updated 7 years ago