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 6051–6100 of 10817 papers

TitleStatusHype
Transformer-based Subject Entity Detection in Wikipedia Listings—0
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—0
Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on WikipediaCode0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
Extending Compositional Attention Networks for Social Reasoning in VideosCode0
How Relevant is Selective Memory Population in Lifelong Language Learning?—0
CMQA: A Dataset of Conditional Question Answering with Multiple-Span AnswersCode0
Weakly Supervised Formula Learner for Solving Mathematical ProblemsCode0
Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?—0
ArT: All-round Thinker for Unsupervised Commonsense Question AnsweringCode0
Findings of the VarDial Evaluation Campaign 2022Code0
Aligning Multilingual Embeddings for Improved Code-switched Natural Language UnderstandingCode0
Are Visual-Linguistic Models Commonsense Knowledge Bases?Code0
CausalQA: A Benchmark for Causal Question AnsweringCode0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the ArtCode0
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models?—0
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings—0
Dual Capsule Attention Mask Network with Mutual Learning for Visual Question Answering—0
Noun-MWP: Math Word Problems Meet Noun Answers—0
On the Effects of Video Grounding on Language Models—0
A Zero-Shot Claim Detection Framework Using Question Answering—0
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question AnsweringCode0
An Augmented Benchmark Dataset for Geometric Question Answering through Dual Parallel Text Encoding—0
In-the-Wild Video Question Answering—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Insurance Question Answering via Single-turn Dialogue Modeling—0
CORN: Co-Reasoning Network for Commonsense Question Answering—0
Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation—0
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering—0
HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media DataCode0
Competence-based Question Generation—0
Calibrating Sequence likelihood Improves Conditional Language Generation—0
Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-SupervisionCode0
Task Formulation Matters When Learning Continually: A Case Study in Visual Question AnsweringCode0
Bidirectional Language Models Are Also Few-shot Learners—0
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionCode0
Downstream Datasets Make Surprisingly Good Pretraining CorporaCode0
Using contradictions improves question answering systems—0
Extractive Question Answering on Queries in Hindi and Tamil—0
RepsNet: Combining Vision with Language for Automated Medical Reports—0
On the Impact of Speech Recognition Errors in Passage Retrieval for Spoken Question AnsweringCode0
Conversational QA Dataset Generation with Answer Revision—0
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages—0
Exploring Modulated Detection Transformer as a Tool for Action Recognition in VideosCode0
Continual VQA for Disaster Response SystemsCode0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar InstancesCode0
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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