Alternatives and similar repositories for word2parvec

Users that are interested in word2parvec are comparing it to the libraries listed below

• jwieting / paragram-word
  Python code for training Paragram word embeddings. These achieve human-level performance on some word similiarty tasks including SimLex-9…
  ☆30Updated 10 years ago
• svakulenk0 / tweet2vec_clustering
  ☆26Updated 8 years ago
• jiesutd / RerankNER
  Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017
  ☆23Updated 8 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 9 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 8 years ago
• cltl / wsd-dynamic-sense-vector
  ☆25Updated 2 years ago
• cod3licious / conec
  Context Encoders (ConEc) as a simple but powerful extension of the word2vec model for learning word embeddings
  ☆20Updated 5 years ago
• udibr / pointer-generator
  Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
  ☆13Updated 8 years ago
• shashankg7 / glove-theano
  GloVe Word Embedding model's implementation in theano
  ☆36Updated 8 years ago
• neubig / lxmls-2017
  Slides/code for the Lisbon machine learning school 2017
  ☆28Updated 8 years ago
• JonathanRaiman / wikipedia_ner
  Labeled examples from wiki dumps in Python
  ☆67Updated 9 years ago
• jacobBaumbach / MCWMD
  Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow
  ☆12Updated 9 years ago
• pdasigi / onto-lstm
  Keras implementation of ontology aware token embeddings
  ☆49Updated 7 years ago
• ajaech / calm
  Context Aware Language Models
  ☆28Updated 7 years ago
• jiyfeng / dclm
  Document context language models
  ☆22Updated 10 years ago
• UKPLab / emnlp2017-graphdocexplore
  Accompanying code for our EMNLP 2017 publication "GraphDocExplore: A Framework for the Experimental Comparison of Graph-based Document Ex…
  ☆27Updated 2 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 8 years ago
• knowitall / implie
  Implicit relation extractor using a natural language model.
  ☆24Updated 7 years ago
• allenai / tableilp
  Question Answering via Integer Programming (TableILP)
  ☆28Updated 9 years ago
• davidjurgens / similarity-tutorial
  A collection of documents and materials for the EMNLP-2015 Semantic Similarity tutorial
  ☆30Updated 10 years ago
• Avmb / deep-nmt-architectures
  Training scripts for paper Miceli Barone et al. 2017 "Deep Architectures for Neural Machine Translation"
  ☆11Updated 8 years ago
• mbartoli / deep-simplification
  Text simplification using RNNs
  ☆55Updated 9 years ago
• hltcoe / EventMiner
  Event extraction pipeline.
  ☆34Updated 8 years ago
• casaro / AutoExtend
  ☆30Updated 7 years ago
• leondz / entity_recognition
  framework for doing NER and other types of entity recognition, in Python
  ☆68Updated 3 years ago
• argilla-io / get_started_with_deep_learning_for_text_with_allennlp
  Getting started with AllenNLP and PyTorch by training a tweet classifier
  ☆66Updated 8 years ago
• honnibal / py-clearnlp-converter
  A simple Python wrapper for the ClearNLP constituents-to-dependencies converter
  ☆10Updated 10 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• iai-group / DynamicEntitySummarization-DynES
  Dynamic Entity Summarization (DynES)
  ☆20Updated 6 years ago
• cedricdeboom / RepresentationLearning
  Code base for representation learning of very short texts, such as tweets. By Cedric De Boom, IBCN, Ghent University, Belgium.
  ☆34Updated 9 years ago