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 2826–2850 of 10817 papers

TitleStatusHype
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Antecedent Selection for Sluicing: Structure and Content—0
A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results—0
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs—0
Answer-Type Prediction for Visual Question Answering—0
Building a Rich Dataset to Empower the Persian Question Answering Systems—0
A Bayesian Approach to Unsupervised Semantic Role Induction—0
Building a Question Answering System for the Manufacturing Domain—0
Building a Question and Answer System for News Domain—0
A Grounded Memory System For Smart Personal Assistants—0
English-Korean Named Entity Transliteration Using Substring Alignment and Re-ranking Methods—0
A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia—0
Building and Exploring Semantic Equivalences Resources—0
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition—0
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition—0
Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI—0
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too—0
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory—0
Enhanced Electronic Health Records Text Summarization Using Large Language Models—0
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering—0
Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification—0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
Building a Crisis Management Term Resource for Social Media: The Case of Floods and Protests—0
Building a Corpus for Japanese Wikification with Fine-Grained Entity Classes—0
Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs—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