SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 7551–7575 of 10817 papers

TitleStatusHype
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Unsupervised Adaptation of Question Answering Systems via Generative Self-training—0
Towards Personalized Explanation of Robot Path Planning via User Feedback—0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective—0
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset—0
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation—0
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewCode0
Leveraging Extracted Model Adversaries for Improved Black Box Attacks—0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Co-attentional Transformers for Story-Based Video Understanding—0
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions—0
Learning to Deceive Knowledge Graph Augmented Models via Targeted PerturbationCode0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
Neural Passage Retrieval with Improved Negative Contrast—0
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering—0
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval—0
EIGEN: Event Influence GENeration using Pre-trained Language Models—0
Kwame: A Bilingual AI Teaching Assistant for Online SuaCode Courses—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified