Alternatives and similar repositories for named-entity-recognition

Users that are interested in named-entity-recognition are comparing it to the libraries listed below

• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• cemoody / Document2Vec
  Finding document vectors from pre-trained word2vec word vectors
  ☆116Updated 10 years ago
• xingdi-eric-yuan / nerpp
  ner using crf++
  ☆10Updated 10 years ago
• mdenil / txtnets
  A convolutional neural network library for NLP.
  ☆59Updated 7 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• offbit / char-models
  Character level models for sentiment analysis
  ☆91Updated 8 years ago
• ehsansherkat / ConVec
  In this project, we use skip-gram model to embed Wikipedia Concepts and Entities. The English version of Wikipedia contains more than fiv…
  ☆57Updated 7 years ago
• awni / semantic-rntn
  Recursive Neural Tensor Network for sentiment classification
  ☆55Updated 10 years ago
• zseymour / phrase2vec
  Implementation of phrase2vec from modified word2vec code.
  ☆94Updated 8 years ago
• turian / neural-language-model
  Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.
  ☆177Updated 15 years ago
• harvardnlp / seq2seq-talk
  ☆39Updated 8 years ago
• senarvi / theanolm
  TheanoLM is a recurrent neural network language modeling tool implemented using Theano
  ☆81Updated last year
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• SwordYork / DCNMT
  Deep Character-Level Neural Machine Translation
  ☆71Updated 8 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• turian / crfchunking-with-wordrepresentations
  Train a CRF for syntactic chunking (CoNLL2000), and use word representations
  ☆43Updated 15 years ago
• mangate / ConvNetSent
  TensorFlow implementation of convolutional neural network for sentence classification tasks
  ☆81Updated 8 years ago
• castorini / MP-CNN-Torch
  Multi-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
  ☆106Updated 7 years ago
• XuezheMax / LasagneNLP
  NLP tools on Lasagne
  ☆61Updated 7 years ago
• sleepinyourhat / vector-entailment
  A suite of representation learning models for sentence embedding, and some tasks to evaluate them on.
  ☆83Updated 6 years ago
• dandxy89 / DeepLearningReading
  Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
  ☆76Updated 9 years ago
• piskvorky / word_embeddings
  Code for the blog post "Making Sense of Word2vec"
  ☆113Updated 10 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• enewe101 / word2vec
  An implementation of Mikolov's word2vec in Python using Theano and Lasagne.
  ☆37Updated 8 years ago
• brmson / Sentence-selection
  Answer Sentence Selection using Deep Learning
  ☆63Updated 9 years ago
• pauldb89 / OxLM
  OxLM: Oxford Neural Language Modelling Toolkit
  ☆38Updated 9 years ago
• alex-berard / multivec
  A Multilingual and Multilevel Representation Learning Toolkit for NLP
  ☆117Updated 7 years ago
• yiyang-gt / feat2vec
  Code of NAACL paper "Unsupervised Multi-Domain Adaptation with Feature Embeddings"
  ☆33Updated 10 years ago