boyuanzheng010 / SemEval2021-Reading-Comprehension-of-Abstract-MeaningLinks
This is the repository for SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. It includes code for baseline models and data.
☆29Updated 3 years ago
Alternatives and similar repositories for SemEval2021-Reading-Comprehension-of-Abstract-Meaning
Users that are interested in SemEval2021-Reading-Comprehension-of-Abstract-Meaning are comparing it to the libraries listed below
Sorting:
- Bert for CoQA based on PyTorch.☆43Updated 2 years ago
- Source code for EMNLP 2020 paper "Coreferential Reasoning Learning for Language Representation"☆68Updated 2 years ago
- GSum: A General Framework for Guided Neural Abstractive Summarization☆115Updated 4 years ago
- Code for our paper "Semantic Representation for Dialogue Modeling" in ACL2021☆47Updated 3 years ago
- Codes for our ACL21 paper: Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization☆94Updated 4 years ago
- Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"☆57Updated 2 years ago
- Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"☆72Updated 3 years ago
- Source code for our "MMM" paper at AAAI 2020☆41Updated 5 years ago
- The official implementation of EMNLP 2020, "A Simple and Effective Model for Answering Multi-span Questions".☆158Updated 2 years ago
- Pytorch implementation of CoCon: A Self-Supervised Approach for Controlled Text Generation☆93Updated 4 years ago
- MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents☆69Updated 3 years ago
- Source code for our "TitleStylist" paper at ACL 2020☆76Updated last year
- ☆50Updated 4 years ago
- Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 20…☆109Updated 3 years ago
- Source codes for the paper "Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization"☆90Updated last year
- Code for KE-Blender, EMNLP 2021☆19Updated 3 years ago
- Learning to Select Knowledge for Response Generation in Dialog Systems☆42Updated 3 years ago
- Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)☆32Updated 2 years ago
- ☆63Updated 5 years ago
- Question answering on multiparty dialogue☆45Updated 5 years ago
- The code for ``STYLEDGPT: Stylized Response Generation with Pre-trained LanguageModels'' (Findings of EMNLP2020)☆21Updated 4 years ago
- ☆67Updated 3 years ago
- An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"☆131Updated 3 years ago
- [EMNLP'21] Plan-then-Generate: Controlled Data-to-Text Generation via Planning☆76Updated 3 years ago
- Slot Self-Attentive Dialogue State Tracking☆37Updated 4 years ago
- Implementation for paper "A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation"☆105Updated 5 years ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 3 years ago
- rebert model codes based on fariseq☆15Updated 4 years ago
- ☆45Updated 3 years ago
- The dataset and PyTorch Implementation for ACL 2020 paper "MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Ans…☆44Updated 4 years ago