IBM / translucent-answer-prediction
TAP (Translucent Answer Prediction), is a system to identify answers and evidence (in the form of supporting facts) in an RCQA task that requires multi-hop reasoning. TAP comprises two loosely coupled networks, called Local and Global Interaction eXtractor (LoGIX) and the Answer Predictor (AP).
☆28Updated 5 years ago
Alternatives and similar repositories for translucent-answer-prediction:
Users that are interested in translucent-answer-prediction are comparing it to the libraries listed below
- Code for ModularQA☆28Updated 3 years ago
- 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
- ACL'2020: Contextualized Sparse Representations for Real-Time Open-Domain Question Answering☆49Updated 4 years ago
- PathNet model for Multi-hop Reading Comprehension (https://arxiv.org/pdf/1811.01127.pdf)☆21Updated 3 years ago
- Code to create pre-training data for a span selection pre-training task inspired by reading comprehension and an effort to avoid encoding…☆30Updated 2 years ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 2 years ago
- Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).☆28Updated 3 years ago
- This is the repo for the paper "Revealing the Importance of Semantic Retrieval for Machine Reading at Scale".☆60Updated 5 years ago
- An original implementation of ACL 2019, "Compositional Questions Do Not Necessitate Multi-hop Reasoning" (Single-hop Reading Comprehensio…☆58Updated 5 years ago
- ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…☆49Updated 3 years ago
- Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval☆43Updated last year
- resources for the IBM Airlines Table-Question-Answering Benchmark☆31Updated 2 years ago
- The source code of Paper "PathQG: Neural Question Generation from Facts".☆22Updated 4 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆91Updated 2 years ago
- Code for NAACL 2021 full paper "Efficient Attentions for Long Document Summarization"☆67Updated 3 years ago
- Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.☆19Updated 4 years ago
- Code and data for the paper: Answer-based Adversarial Training for Generating Clarification Questions☆42Updated 4 years ago
- Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"☆64Updated 3 years ago
- FaVIQ: Fact Verification from Information-seeking Questions☆43Updated 2 years ago
- [EMNLP 2020] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading☆36Updated 2 years ago
- GraphRetriever in the paper "Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering"☆38Updated 3 years ago
- ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences☆28Updated last year
- ☆45Updated 2 years ago
- Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021☆29Updated 2 years ago
- The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".☆71Updated 8 months ago
- Code for EMNLP2020 paper: "Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space"☆26Updated 3 years ago
- Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.☆29Updated 8 months ago
- The implementation of the paper "Harvesting and Refining Question-Answer Pairs for Unsupervised QA"☆33Updated 4 years ago
- ☆46Updated 3 years ago
- The accompanying code for "Injecting Numerical Reasoning Skills into Language Models" (Mor Geva*, Ankit Gupta* and Jonathan Berant, ACL 2…☆89Updated 7 months ago