TharinduDR / Siamese-Recurrent-ArchitecturesLinks
Usage of Siamese Recurrent Neural network architectures for semantic textual similarity
☆22Updated 6 years ago
Alternatives and similar repositories for Siamese-Recurrent-Architectures
Users that are interested in Siamese-Recurrent-Architectures are comparing it to the libraries listed below
Sorting:
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆125Updated 5 years ago
- Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuni…☆78Updated 3 years ago
- ☆45Updated 2 years ago
- Multitask Learning with Pretrained Transformers☆40Updated 4 years ago
- WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…☆83Updated 6 years ago
- Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…☆43Updated 4 years ago
- A tutorial on how to implement models for natural language inference using PyTorch and TorchText. [IN PROGRESS]☆26Updated 5 years ago
- Fine-tune transformers with pytorch-lightning☆44Updated 3 years ago
- Detect toxic spans in toxic texts☆69Updated 2 years ago
- TensorFlow implementation of "Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder," AAAI-19☆38Updated last year
- shabeelkandi / Handling-Out-of-Vocabulary-Words-in-Natural-Language-Processing-using-Language-Modelling☆69Updated 5 years ago
- Code release for "A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media", EMNLP 2020.☆54Updated 4 years ago
- Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"☆31Updated 4 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆160Updated 5 years ago
- A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.☆96Updated 4 years ago
- Minimal Interactive Attention Visualization☆140Updated 5 years ago
- Code for Attention Word Embeddings☆20Updated 4 years ago
- Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020☆62Updated last year
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- A repository for our AAAI-2020 Cross-lingual-NER paper. Code will be updated shortly.☆47Updated 2 years ago
- A tutorial of pertaining Bert on your own dataset using google TPU☆44Updated 5 years ago
- Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging☆34Updated 5 years ago
- https://arxiv.org/pdf/1909.04054☆79Updated 2 years ago
- NLP: Relation extraction with position-aware self-attention transformer☆66Updated 2 years ago
- Sequence to Sequence Models in PyTorch☆44Updated last year
- Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation☆99Updated 8 months ago
- DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.☆109Updated 2 years ago
- Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.☆43Updated 3 years ago
- Language Modelling Makes Sense - WSD (and more) with Contextual Embeddings☆95Updated 2 years ago
- ☆83Updated 4 years ago