vanewu / CRFLinks
Linear chain conditional random fields are implemented using Numpy and Mxnet/Gluon, and batch training is supported, not limited to training the data one by one.
☆22Updated 6 years ago
Alternatives and similar repositories for CRF
Users that are interested in CRF are comparing it to the libraries listed below
Sorting:
- Knowledge Graph based Question Answering benchmark.☆10Updated 5 years ago
- Official code of our work, Robust, Transferable Sentence Representations for Text Classification [Arxiv 2018].☆22Updated 7 years ago
- Code for EMNLP 2018 paper https://arxiv.org/pdf/1808.09075.pdf☆38Updated 7 years ago
- Paper: A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging☆35Updated 6 years ago
- BERT Extension in TensorFlow☆30Updated 6 years ago
- Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)☆118Updated 7 years ago
- A fine-tune framework based on pytorch-pretrained-BERT☆17Updated 3 years ago
- Code for SIGDial 2019 Best Paper: Structured Fusion Networks for Dialog https://arxiv.org/abs/1907.10016☆30Updated 6 years ago
- 高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task☆60Updated 5 years ago
- CapsNet for NLP☆66Updated 6 years ago
- RAdam optimizer for keras☆71Updated 6 years ago
- This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.☆76Updated 4 years ago
- The official implementation of paper U-Net: Machine Reading Comprehension with Unanswerable Questions.☆58Updated 7 years ago
- NER with Deep contextualized word representations (Elmo)☆23Updated 7 years ago
- MAsked Sequence to Sequence (MASS) pre-training for language generation☆20Updated 6 years ago
- Language Model Pruning for Sequence Labeling☆147Updated 5 years ago
- ☆47Updated 5 years ago
- This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.☆83Updated 4 years ago
- (COLING'18) The source code for the paper "Structure-Infused Copy Mechanisms for Abstractive Summarization".☆29Updated 7 years ago
- Neural (LSTM) version of the partial CRF model☆34Updated 6 years ago
- Sub-Character Representation Learning☆25Updated 7 years ago
- a Pytorch implementation of the Reformer Network (https://openreview.net/pdf?id=rkgNKkHtvB)☆53Updated 3 years ago
- Simple model for sentence compression (a.k.a Baseline in Klerke et al., NAACL 2016)☆10Updated 7 years ago
- RNN-free TensorFlow model for reading comprehension on SQuAD☆33Updated 3 years ago
- TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-based Chatbots (CoNLL2019)☆26Updated 6 years ago
- a simple yet complete implementation of the popular BERT model☆128Updated 5 years ago
- PyTorch implementation of Attention-over-Attention Neural Networks for Reading Comprehension☆59Updated 8 years ago
- add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch☆80Updated 7 years ago
- An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0☆137Updated 5 years ago
- ICLR2019, Multilingual Neural Machine Translation with Knowledge Distillation☆70Updated 5 years ago