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 8501–8525 of 10817 papers

TitleStatusHype
Explicit Knowledge-based Reasoning for Visual Question Answering—0
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering—0
Exploiting Attention to Reveal Shortcomings in Memory Models—0
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering—0
Exploiting Discourse Relations between Sentences for Text Clustering—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
Exploiting Language Models as a Source of Knowledge for Cognitive Agents—0
Exploiting Language Models for Visual Recognition—0
GS-KGC: A Generative Subgraph-based Framework for Knowledge Graph Completion with Large Language Models—0
Exploiting Morphological Regularities in Distributional Word Representations—0
Exploiting Multiple Sources for Open-Domain Hypernym Discovery—0
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering—0
Exploiting Parallel News Streams for Unsupervised Event Extraction—0
Exploiting Portuguese Lexical Knowledge Bases for Answering Open Domain Cloze Questions Automatically—0
Exploiting Qualitative Information from Automatic Word Alignment for Cross-lingual NLP Tasks—0
Exploiting Rich Syntax for Better Knowledge Base Question Answering—0
Exploiting Sentence Embedding for Medical Question Answering—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—0
Exploiting Structure in Representation of Named Entities using Active Learning—0
Exploiting the Human Computational Effort Dedicated to Message Reply Formatting for Training Discursive Email Segmenters—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation—0
Explore Person Specific Evidence in Web Person Name Disambiguation—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