Alternatives and similar repositories for non-distributional

Users that are interested in non-distributional are comparing it to the libraries listed below

• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 8 years ago
• swabhs / joint-lstm-parser
  Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
  ☆61Updated 8 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• ParallelDots / WordEmbeddingAutoencoder
  An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015
  ☆74Updated 8 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• kedz / sumpy
  SUMPY: a python automatic text summarization library
  ☆55Updated 9 years ago
• alvations / stasis
  Semantic Textual Similarity in Python
  ☆81Updated 8 years ago
• ai-ku / wvec
  Word vectors
  ☆64Updated 7 years ago
• mfaruqui / sparse-coding
  Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors
  ☆55Updated 7 years ago
• taolei87 / text_convnet
  Molding CNNs for text (http://arxiv.org/abs/1508.04112)
  ☆85Updated 9 years ago
• jbuckman / boilerplate-dynet-rnn-lm
  Boilerplate code for quickly getting set up to run language modeling experiments
  ☆35Updated 8 years ago
• casaro / AutoExtend
  ☆30Updated 7 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 9 years ago
• uclnlp / acl2015tutorial
  Moro files for the ACL 2015 Tutorial on Matrix and Tensor Factorization Methods for Natural Language Processing
  ☆20Updated 10 years ago
• jiyfeng / entitynlm
  ☆44Updated 7 years ago
• jstarc / nli_generation
  Natural Language Inference Dataset Generation
  ☆29Updated 9 years ago
• ldmt-muri / alignment-with-openfst
  ☆21Updated 8 years ago
• higgood / incremental-word2vec
  Modify word2vec such that it's possible to "condition" on existing embeddings for some words, and induce embeddings for new words.
  ☆40Updated 9 years ago
• taolei87 / RBGParser
  Graph-based Dependency Parser
  ☆46Updated 9 years ago
• jwieting / charagram
  Code to train and use models from "Charagram: Embedding Words and Sentences via Character n-grams".
  ☆124Updated 9 years ago
• jimmycallin / pydsm
  A Python framework for exploring distributional semantic models.
  ☆85Updated 9 years ago
• tticoin / AntonymDetection
  Implementation of Word Embedding-based Antonym Detection using Thesauri and Distributional Information in NAACL2015
  ☆35Updated 3 years ago
• fh295 / SentenceRepresentation
  ☆125Updated 8 years ago
• pdasigi / neural-semantic-encoders
  Reimplementation of Munkhdalai et al's Neural Semantic Encoders (https://arxiv.org/pdf/1607.04315v2.pdf)
  ☆59Updated 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
• JonathanRaiman / wikipedia_ner
  Labeled examples from wiki dumps in Python
  ☆67Updated 9 years ago
• jwieting / paragram-word
  Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…
  ☆30Updated 9 years ago
• jiweil / mutli-sense-embedding
  ☆46Updated 7 years ago
• ytsvetko / qvec
  Intrinsic evaluation of word vectors
  ☆76Updated 7 years ago
• leondz / entity_recognition
  framework for doing NER and other types of entity recognition, in Python
  ☆68Updated 3 years ago