Alternatives and similar repositories for deep-mlsa

Users that are interested in deep-mlsa are comparing it to the libraries listed below

• alvations / stasis
  Semantic Textual Similarity in Python
  ☆80Updated 8 years ago
• fh295 / SentenceRepresentation
  ☆124Updated 8 years ago
• NLPrinceton / text_embedding
  utility class for building/evaluating document representations
  ☆53Updated 5 years ago
• cvangysel / pyndri
  pyndri is a Python interface to the Indri search engine.
  ☆89Updated 3 years ago
• cvangysel / cuNVSM
  Neural Vector Space Models
  ☆49Updated 6 years ago
• shashiongithub / sidenet
  SideNet: Neural Extractive Summarization with Side Information
  ☆57Updated 5 years ago
• bhaskar-mitra / NDRM
  A repository for Neural Document Ranking Models.
  ☆84Updated 6 years ago
• artetxem / uncovec
  Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
  ☆63Updated 6 years ago
• sidaw / nbsvm
  code for our paper Baselines and Bigrams: Simple, Good Sentiment and Topic Classification
  ☆135Updated 9 years ago
• vered1986 / LexNET
  LexNET: Integrated Path-based and Distributional Method for Lexical Semantic Relation Classification
  ☆62Updated 6 years ago
• rgsachin / CoVe
  Keras implementation of CoVe
  ☆50Updated 6 years ago
• PrincetonML / SemanticVector
  Word embedding approach based on a dynamic log-linear model
  ☆54Updated 7 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 7 years ago
• AbeHandler / WordNet-Word2Vec
  An empirical comparison of lexical relations in WordNet and word2vec
  ☆28Updated 4 years ago
• orenmel / lexsub
  ☆24Updated 8 years ago
• ikekonglp / TweeboParser
  A Dependency Parser for Tweets
  ☆78Updated 5 years ago
• shihaoji / wordrank
  WordRank: Learning Word Embeddings via Robust Ranking
  ☆51Updated 7 years ago
• rguthrie3 / MorphologicalPriorsForWordEmbeddings
  Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings
  ☆53Updated 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
• napsternxg / DeepSequenceClassification
  Deep neural network based model for sequence to sequence classification
  ☆76Updated 7 years ago
• harkous / embeddingsviz
  Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors
  ☆46Updated 7 years ago
• pdasigi / onto-lstm
  Keras implementation of ontology aware token embeddings
  ☆49Updated 6 years ago
• mheilman / tan-clustering
  Hierarchical word clustering, following "Brown clustering" (Brown et al., 1992)
  ☆69Updated 10 years ago
• mfaruqui / non-distributional
  Non-distributional linguistic word vector representations.
  ☆62Updated 7 years ago
• boudinfl / sume
  Sume is an implementation of the concept-based ILP model for summarization.
  ☆37Updated 6 years ago
• yotam-happy / NEDforNoisyText
  Named Entity Disambiguation for Noisy Text
  ☆66Updated 8 years ago
• bplank / bilstm-aux
  Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)
  ☆122Updated 2 years ago
• nadbordrozd / text-top-model
  Benchmarking text classification algorithms
  ☆64Updated 7 years ago
• uhh-lt / sensegram
  Making sense embedding out of word embeddings using graph-based word sense induction
  ☆213Updated 4 years ago
• jiyfeng / entitynlm
  ☆44Updated 7 years ago