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 8251–8275 of 10817 papers

TitleStatusHype
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World—0
A Data-Driven, Factorization Parser for CCG Dependency Structures—0
Right-truncatable Neural Word Embeddings—0
Ripple Down Rules for Question Answering—0
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context—0
ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources—0
Combining syntactic patterns and Wikipedia's hierarchy of hyperlinks to extract meronym relations—0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
Generating titles for millions of browse pages on an e-Commerce site—0
Generating Synthetic Comparable Questions for News Articles—0
Combining Social Cognitive Theories with Linguistic Features for Multi-genre Sentiment Analysis—0
Generating Syntactic Paraphrases—0
Generating Supplementary Travel Guides from Social Media—0
Combining Seemingly Incompatible Corpora for Implicit Semantic Role Labeling—0
Aspectual Type and Temporal Relation Classification—0
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering—0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
Generating Semantically Valid Adversarial Questions for TableQA—0
Combining Open Domain Question Answering with a Task-Oriented Dialog System—0
Aspectual Properties of Conversational Activities—0
Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs—0
Generating Rationales in Visual Question Answering—0
Combining Natural Logic and Shallow Reasoning for Question Answering—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