Alternatives and similar repositories for Simple-Sentence-Similarity

Users that are interested in Simple-Sentence-Similarity are comparing it to the libraries listed below

• leondz / emerging_entities_17
  Dataset for the Emerging & Novel Entity NER task (WNUT '17)
  ☆111Updated 3 years ago
• AndriyMulyar / bert_document_classification
  architectures and pre-trained models for long document classification.
  ☆155Updated 4 years ago
• UKPLab / acl2019-BERT-argument-classification-and-clustering
  ☆83Updated 4 years ago
• madrugado / Attention-Based-Aspect-Extraction
  Code for unsupervised aspect extraction, using Keras and its Backends
  ☆91Updated last year
• NorskRegnesentral / weak-supervision-for-NER
  Framework to learn Named Entity Recognition models without labelled data using weak supervision.
  ☆124Updated 4 years ago
• castorini / birch
  Document ranking via sentence modeling using BERT
  ☆144Updated 2 years ago
• TalSchuster / CrossLingualContextualEmb
  Cross-Lingual Alignment of Contextual Word Embeddings
  ☆99Updated 5 years ago
• davidsbatista / NER-Evaluation
  An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the t…
  ☆222Updated 11 months ago
• SkBlaz / rakun
  Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
  ☆99Updated 6 months ago
• soujanyaporia / aspect-extraction
  Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF
  ☆158Updated 4 years ago
• afshinrahimi / mmner
  Massively Multilingual Transfer for NER
  ☆86Updated 3 years ago
• lgalke / vec4ir
  Word Embeddings for Information Retrieval
  ☆225Updated last year
• sebastianGehrmann / bottom-up-summary
  ☆177Updated 6 years ago
• yafangy / Review_aspect_extraction
  CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging
  ☆103Updated 5 years ago
• shayneobrien / coreference-resolution
  Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).
  ☆186Updated 4 years ago
• malteos / pytorch-bert-document-classification
  Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)
  ☆159Updated 5 years ago
• tofunlp / sister
  SImple SenTence EmbeddeR
  ☆74Updated 2 years ago
• renatoviolin / T5-paraphrase-generation
  ☆66Updated 4 years ago
• Huffon / sentence-similarity
  This repository contains various ways to calculate sentence vector similarity using NLP models
  ☆198Updated 5 years ago
• malllabiisc / EWISE
  ACL 2019: Zero-shot Word Sense Disambiguation using Sense Definition Embedding
  ☆75Updated 9 months ago
• Georgetown-IR-Lab / cedr
  Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
  ☆156Updated 4 years ago
• gaetangate / text-summarizer
  Python Framework for Extractive Text Summarization
  ☆113Updated 3 years ago
• recitalAI / summarizing_summarization
  We summarize the summarization papers presented at major conferences (starting with ACL 2019)
  ☆85Updated 5 years ago
• ibatra / BERT-Keyword-Extractor
  Deep Keyphrase Extraction using BERT
  ☆259Updated 3 years ago
• md-experiments / elastic_transformers
  Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
  ☆160Updated 4 years ago
• pranav-ust / BERT-keyphrase-extraction
  Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10
  ☆108Updated 2 years ago
• jbarrow / allennlp_tutorial
  Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
  ☆86Updated 2 years ago
• tuzhucheng / sentence-similarity
  PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment
  ☆107Updated 7 years ago
• surbhardwaj / BERT-QnA-Squad_2.0_Finetuned_Model
  BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.
  ☆56Updated 5 years ago
• billy-inn / HRERE
  Heterogeneous Representations for Neural Relation Extraction https://arxiv.org/abs/1903.10126
  ☆69Updated 4 years ago