Heidelberg-NLP / CoCo-ExLinks
CoCo-Ex extracts meaningful concepts from natural language texts and maps them to conjunct concept nodes in ConceptNet, utilizing the maximum of relational information stored in the ConceptNet knowledge graph.
☆59Updated 2 years ago
Alternatives and similar repositories for CoCo-Ex
Users that are interested in CoCo-Ex are comparing it to the libraries listed below
Sorting:
- GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758☆93Updated 4 years ago
- Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"☆65Updated 3 years ago
- CSKG: The CommonSense Knowledge Graph☆122Updated last year
- Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022☆99Updated last year
- SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).☆133Updated 3 years ago
- ☆72Updated last year
- Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"☆50Updated 2 years ago
- Investigating Pretrained Language Models for Graph-to-Text Generation☆146Updated 3 years ago
- Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)☆76Updated 3 years ago
- EMNLP2020 - Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph☆132Updated last year
- Repository for model used in amrlib☆24Updated last year
- A python library that makes AMR parsing, generation and visualization simple.☆246Updated last year
- Dataset for NAACL 2021 paper: "DART: Open-Domain Structured Data Record to Text Generation"☆155Updated 2 years ago
- Codes for NAACL 2021 Paper "Unsupervised Multi-hop Question Answering by Question Generation"☆91Updated 2 years ago
- ☆248Updated 5 months ago
- PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxi…☆106Updated last year
- ☆141Updated 2 years ago
- OpenIE6 system☆123Updated 2 years ago
- WinoWhy provides human-annotated reasons for answering WSC questions.☆18Updated 5 years ago
- Neural models of common sense. 🤖☆97Updated last year
- A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning☆141Updated last year
- Python wrapper for OpenIE5☆39Updated 5 years ago
- ☆31Updated last year
- Code repo for EMNLP21 paper "Zero-Shot Information Extraction as a Unified Text-to-Triple Translation"☆108Updated last year
- Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)☆48Updated 2 years ago
- Mapping Wikipedia pages to Wikidata IDs and vice versa.☆163Updated 2 years ago
- Contrastive Fact Verification☆73Updated 2 years ago
- ☆58Updated 3 years ago
- Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles☆44Updated last year
- Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"☆73Updated 3 years ago