Alternatives and similar repositories for unsup-cross-lingual-embedding-transfer

Users that are interested in unsup-cross-lingual-embedding-transfer are comparing it to the libraries listed below

• bohanli / vae-pretraining-encoder
  PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)
  ☆48Updated 5 years ago
• mingdachen / disentangle-semantics-syntax
  Code for "A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations" (NAACL 2019)
  ☆67Updated 4 years ago
• thespectrewithin / joint_align
  Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
  ☆52Updated 5 years ago
• easonnie / semanticRetrievalMRS
  This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".
  ☆60Updated 5 years ago
• allenai / aristo-leaderboard
  Tools and datasets for Aristo Leaderboards
  ☆42Updated 4 years ago
• vid-koci / bert-commonsense
  Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Re…
  ☆71Updated 3 years ago
• xinyadu / harvestingQA
  ☆59Updated 7 years ago
• alontalmor / oLMpics
  ☆46Updated 5 years ago
• qkaren / Counterfactual-StoryRW
  code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076
  ☆102Updated 5 years ago
• passeul / style-transfer-model-evaluation
  ☆38Updated 6 years ago
• sutd-statnlp / statnlp-neural
  statnlp-neural
  ☆32Updated 6 years ago
• FranxYao / Gumbel-CRF
  Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
  ☆57Updated 4 years ago
• PrekshaNema25 / Answerability-Metric
  This repository contains the script to compute the questions based on the Answerability aspect.
  ☆38Updated 5 years ago
• yuchenlin / OpenCSR
  Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)
  ☆32Updated 2 years ago
• dojoteef / synst
  Source code to reproduce the results in the ACL 2019 paper "Syntactically Supervised Transformers for Faster Neural Machine Translation"
  ☆81Updated 3 years ago
• taasnim / unsup-word-translation
  ☆20Updated 6 years ago
• AkariAsai / logic_guided_qa
  The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
  ☆71Updated last year
• wellecks / nonmonotonic_text
  Non-Monotonic Sequential Text Generation (ICML 2019)
  ☆72Updated 6 years ago
• XiangLi1999 / syntactic-VIB
  Implementation of the paper: Specializing pretrained word embeddings (for parsing) by IB
  ☆52Updated 3 years ago
• ZeweiChu / EntEval
  Entity Evaluation code
  ☆21Updated 5 years ago
• asappresearch / rationale-alignment
  ☆47Updated 5 years ago
• peterwestuw / BottleSum
  ☆36Updated 5 years ago
• galsang / trees_from_transformers
  Official code for the ICLR 2020 paper 'ARE PPE-TRAINED LANGUAGE MODELS AWARE OF PHRASES? SIMPLE BUT STRONG BASELINES FOR GRAMMAR INDCUTIO…
  ☆30Updated 2 years ago
• mingdachen / syntactic-template-generation
  Code for "Controllable Paraphrase Generation with a Syntactic Exemplar" (ACL 2019)
  ☆80Updated 5 years ago
• shtoshni / span-rep
  Code for Repl4NLP paper "A Cross-Task Analysis of Text Span Representations"
  ☆21Updated 2 years ago
• vzhong / e3
  Dockerized code for E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.
  ☆48Updated 2 years ago
• Amazing-J / structural-transformer
  Code corresponding to our paper "Modeling Graph Structure in Transformer for Better AMR-to-Text Generation" in EMNLP-IJCNLP-2019
  ☆75Updated 5 years ago
• qkaren / converse_reading_cmr
  code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"
  ☆77Updated 4 years ago
• neulab / cmu-multinlp
  Generalizing Natural Language Analysis through Span-relation Representations
  ☆91Updated last month
• jxhe / self-training-text-generation
  Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"
  ☆46Updated 3 years ago