HIT-SCIR / ELMoForManyLangs
Pre-trained ELMo Representations for Many Languages
☆1,463Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for ELMoForManyLangs
- Tensorflow implementation of contextualized word representations from bi-directional language models☆1,620Updated last year
- Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.☆1,243Updated 2 years ago
- NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character …☆1,888Updated 2 years ago
- sentence embedding by Smooth Inverse Frequency weighting scheme☆1,084Updated 5 years ago
- Pytorch-Named-Entity-Recognition-with-BERT☆1,209Updated 3 years ago
- Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"☆1,413Updated 9 months ago
- Code for paper Fine-tune BERT for Extractive Summarization☆1,465Updated 2 years ago
- A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.☆1,242Updated 2 years ago
- bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目☆1,849Updated 3 years ago
- Empower Sequence Labeling with Task-Aware Language Model☆846Updated 2 years ago
- Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN☆958Updated 5 years ago
- BiLSTM-CNN-CRF architecture for sequence tagging☆825Updated 3 years ago
- MASS: Masked Sequence to Sequence Pre-training for Language Generation☆1,118Updated last year
- Must-read papers on Machine Reading Comprehension☆893Updated 4 years ago
- Implementation of BERT that could load official pre-trained models for feature extraction and prediction☆2,430Updated 2 years ago
- A Tensorflow implementation of QANet for machine reading comprehension☆983Updated 6 years ago
- Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data☆924Updated 5 years ago
- Named Entity Recognition (LSTM + CRF) - Tensorflow☆1,945Updated 4 years ago
- Keras implementation of BERT with pre-trained weights☆813Updated 5 years ago
- Four word embedding models implemented in Python. Supporting arbitrary context features☆845Updated 5 years ago
- BERT for Multitask Learning☆545Updated last year
- This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.☆872Updated last year
- Must-read papers on neural relation extraction (NRE)☆1,034Updated 3 years ago
- Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granul…☆1,535Updated last year
- code for EMNLP 2019 paper Text Summarization with Pretrained Encoders☆1,284Updated 3 months ago
- pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"☆906Updated last year
- A curated list of pretrained sentence and word embedding models☆2,225Updated 3 years ago
- A full Python Implementation of the ROUGE Metric (not a wrapper)☆669Updated last year
- Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"☆2,177Updated 2 years ago
- This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currentl…☆470Updated last year