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 7201–7250 of 10817 papers

TitleStatusHype
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering—0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Enhancing Question Answering by Injecting Ontological Knowledge through Regularization—0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset—0
Representation, Learning and Reasoning on Spatial Language for Downstream NLP Tasks—0
Regularization of Distinct Strategies for Unsupervised Question GenerationCode0
Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion—0
Can Pre-training help VQA with Lexical Variations?—0
Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-TuningCode0
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question AnsweringCode0
Question Answering with Long Multiple-Span AnswersCode1
Event Extraction as Multi-turn Question Answering—0
The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation ClassificationCode1
ConceptBert: Concept-Aware Representation for Visual Question AnsweringCode1
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
CapWAP: Image Captioning with a Purpose—0
Event Extraction as Machine Reading Comprehension—0
Unsupervised Adaptation of Question Answering Systems via Generative Self-training—0
Methods for Numeracy-Preserving Word Embeddings—0
AnswerFact: Fact Checking in Product Question Answering—0
Learning to Contrast the Counterfactual Samples for Robust Visual Question AnsweringCode1
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention—0
STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering—0
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question AnsweringCode0
Towards Personalized Explanation of Robot Path Planning via User Feedback—0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewCode0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—0
VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
Leveraging Extracted Model Adversaries for Improved Black Box Attacks—0
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement LearningCode1
Less is More: Data-Efficient Complex Question Answering over Knowledge BasesCode1
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learningCode1
RussianSuperGLUE: A Russian Language Understanding Evaluation BenchmarkCode1
Leveraging Visual Question Answering to Improve Text-to-Image Synthesis—0
Co-attentional Transformers for Story-Based Video Understanding—0
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question AnsweringCode1
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
Hierarchical Transformer for Task Oriented Dialog SystemsCode0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Measuring Association Between Labels and Free-Text RationalesCode1
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions—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