Topic: elmo Goto Github
Some thing interesting about elmo
Some thing interesting about elmo
elmo,BERT-NER (nert-bert) with google bert https://github.com/google-research.
Organization: ai-forever
elmo,Keras Implementation of Aspect based Sentiment Analysis
User: alexyangli
elmo,Official implementation of: Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
User: aliosm
elmo,Persian word embedding ( نشاننده واژه ها فارسی | تعبیه سازی کلمات فارسی )
User: ashalogic
elmo,Context-based Dialogue Act Recognition using Recurrent Neural Networks
User: bothe
Home Page: https://crbothe.github.io/discourse-wizard/
elmo,BiLSTM-CRF model for NER
User: dainlp
elmo,MegatronBot is a Full-Fledged ChatBot with some awesome Powers 🔥🔥
User: dark-art108
Home Page: https://dark-art108.github.io/MegatronBot/
elmo,:art: :art:NLP 自然语言处理教程 :art::art: https://dataxujing.github.io/NLP-paper/
User: dataxujing
Home Page: https://dataxujing.github.io/NLP-paper/
elmo,My solutions for Home Assignments for Machine Learning Job Interviews.
User: dayyass
elmo,Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Organization: dbiir
Home Page: https://github.com/dbiir/UER-py/wiki
elmo,Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Organization: dicetechjobs
Home Page: http://www.dice.com
elmo,A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.
User: domhudson
elmo,Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
User: doodlejz
Home Page: https://arxiv.org/abs/1907.02684
elmo,reference tensorflow code for named entity tagging
User: dsindex
elmo,This repo contains all the notebooks mentioned in blog.
User: dudeperf3ct
Home Page: https://dudeperf3ct.github.io
elmo,Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.
User: esterhlav
elmo,Visualizing ELMo Contextual Vectors for Word Sense Disambiguation
User: hengluchang
elmo,Re-implementation of ELMo on Keras
User: iliaschalkidis
elmo,Applied Deep Learning (2019 Spring) @ NTU
User: jasonyao81000
elmo,torch tutorial and paper implementation mainly about NLP
User: long8v
elmo,Simple library to work with pre-trained ELMo models in TensorFlow
Organization: ltgoslo
Home Page: https://pypi.org/project/simple-elmo/
elmo,Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with textual data in their natural language data form which is typically unstructured information; they require special representation of data as inputs instead. Usually, natural language text data needs to be converted into internal representations form that DL algorithms can read such as feature vectors, hence the necessity to use representation learning models. These models have shown a big leap during the last years. Their set ranges from the methods that embed words into distributed representations and use the language modeling objective to adjust them as model parameters (like Word2vec, fastText, and GloVe), to recently transfer learning models (like ELMo, BERT, ULMFiT, XLNet, ALBERT, RoBERTa, and GPT-2). These last use larger corpora, more parameters, more computing resources, and instead of assigning each word with a fixed vector, they use multilayer neural networks to calculate dynamic representations for the words according to their context, which is especially useful for the words with multiple meanings.
User: mboukabous
elmo,Source code for ACL 2020 paper "Learning Spoken Language Representations with Neural Lattice Language Modeling"
Organization: miulab
elmo,Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
User: morvanzhou
Home Page: https://mofanpy.com
elmo,Home Assistant integration that provides a full-fledged Alarm Panel to control your Elmo/IESS alarm systems.
User: palazzem
elmo,A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)
User: prashantranjan09
elmo,Supporting code for the paper "Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks".
User: ruanchaves
elmo,A text classification example with Bert/ELMo/GloVe in pytorch
User: shomyliu
Home Page: http://shomy.top/2019/01/01/elmo-1/
elmo,A Deep Learning-Based Approach for Named Entity Recognition on Commercial Receipts
User: spencerhan
elmo,The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"
User: sunyilgdx
elmo,Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
User: sunyilgdx
elmo,It is about how to load and aggregate pretrained word embeddings in pytorch, e.g., ELMo\BERT\XLNET.
User: sz128
elmo,This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
Organization: t-systems-on-site-services-gmbh
Home Page: https://www.t-systems-onsite.de/impressum
elmo,Cross-Lingual Alignment of Contextual Word Embeddings
User: talschuster
elmo,Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Organization: tencent
Home Page: https://github.com/Tencent/TencentPretrain/wiki
elmo,Exploring the simple sentence similarity measurements using word embeddings
User: tharindudr
elmo,A comprehensive word embedding repository for the Turkish language.
Organization: turkish-word-embeddings
elmo,Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"
Organization: utahnlp
elmo,Useful Stata routines
User: vavalomi
elmo,A list of pretrained Transformer models for the Russian language.
User: vlarine
elmo,Tensorflow QANet with ELMo
User: vliu15
elmo,BiLSTM+ELMo 搭建的中文 Collocation Parser
User: voidism
elmo,Multi-Label Text Classification with Transfer Learning
User: vondersam
elmo,中文预训练模型生成字向量学习,测试BERT,ELMO的中文效果
User: yc-wind
elmo,TensorFlow code and pre-trained models for A Dynamic Word Representation Model Based on Deep Context. It combines the idea of BERT model and ELMo's deep context word representation.
User: yuanxiaosc
Home Page: https://yuanxiaosc.github.io/2018/11/27/Bidirectional_Encoder_Representations_Transformers/
elmo,NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务
User: zhufz
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