Alternatives and similar repositories for SemEval2020-Task4-Commonsense-Validation-and-Explanation

Users that are interested in SemEval2020-Task4-Commonsense-Validation-and-Explanation are comparing it to the libraries listed below

• microsoft / glge
  Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"
  ☆57Updated 2 years ago
• thunlp / CorefBERT
  Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"
  ☆68Updated 3 years ago
• jcyk / AMR-gs
  AMR Parsing via Graph-Sequence Iterative Inference
  ☆70Updated 2 years ago
• Alibaba-NLP / MultilangStructureKD
  [ACL 2020] Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
  ☆72Updated 2 years ago
• uwnlp / open_type
  ☆70Updated 3 years ago
• wenhuchen / LogicNLG
  The data and code for ACL2020 paper "Logical Natural Language Generation from Open-Domain Tables"
  ☆165Updated 2 years ago
• ag1988 / injecting_numeracy
  The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2…
  ☆89Updated last year
• neulab / REALSumm
  REALSumm: Re-evaluating Evaluation in Text Summarization
  ☆72Updated 2 weeks ago
• PrekshaNema25 / Answerability-Metric
  This repository contains the script to compute the questions based on the Answerability aspect.
  ☆38Updated 5 years ago
• neulab / cmu-multinlp
  Generalizing Natural Language Analysis through Span-relation Representations
  ☆91Updated 2 weeks ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆29Updated last year
• 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
• wilburOne / cosmosqa
  ☆63Updated 2 years ago
• IBM / span-selection-pretraining
  Code to create pre-training data for a span selection pre-training task inspired by reading comprehension and an effort to avoid encoding…
  ☆30Updated 3 years ago
• jzbjyb / LPAQA
  Language model Prompt And Query Archive
  ☆158Updated 4 years ago
• allenai / aristo-leaderboard
  Tools and datasets for Aristo Leaderboards
  ☆42Updated 4 years ago
• peterwestuw / BottleSum
  ☆36Updated 5 years ago
• thunlp / XQA
  Dataset and baseline for ACL 2019 paper "XQA: A Cross-lingual Open-domain Question Answering Dataset"
  ☆90Updated 3 years ago
• Yale-LILY / dart
  Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"
  ☆155Updated 2 years ago
• hiroki13 / span-based-srl
  ☆45Updated 6 years ago
• kedz / summarization-datasets
  Pre-processing and in some cases downloading of datasets for the paper "Content Selection in Deep Learning Models of Summarization."
  ☆78Updated 2 years ago
• harsh19 / Reasoning-Chains-MultihopQA
  Code and Data for our EMNLP 2020 paper titled 'Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multiho…
  ☆28Updated 3 years ago
• lajanugen / zeshel
  ☆141Updated 6 years ago
• dair-iitd / imojie
  Neural generation model for Open Information Extraction
  ☆80Updated 2 years ago
• easonnie / combine-FEVER-NSMN
  This repository provides the implementation for the paper "Combining Fact Extraction and Verification with Neural Semantic Matching Netwo…
  ☆79Updated 4 years ago
• PKU-TANGENT / NeuralEDUSeg
  A toolkit for discourse segmentation (EDU segmentation).
  ☆102Updated 2 years ago
• shmsw25 / qa-hard-em
  An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"
  ☆136Updated 5 years ago
• luyang-huang96 / LongDocSum
  Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"
  ☆67Updated 4 years ago
• thunlp / ConceptFlow
  ☆121Updated 2 years ago
• allenanie / DisExtract
  The library that uses dependency parsing to preprocess text to train DisSent model
  ☆32Updated 5 years ago