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 10476–10500 of 10817 papers

TitleStatusHype
High Quality Dependency Selection from Automatic Parses—0
Exploiting Multiple Sources for Open-Domain Hypernym Discovery—0
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System—0
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis—0
Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data—0
Chinese Named Entity Abbreviation Generation Using First-Order Logic—0
An Empirical Study of Combing Multiple Models in Bengali Question Classification—0
Automatic Feature Engineering for Answer Selection and Extraction—0
A Discourse-Driven Content Model for Summarising Scientific Articles Evaluated in a Complex Question Answering Task—0
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers—0
Effect of Non-linear Deep Architecture in Sequence Labeling—0
Scaling Semantic Parsers with On-the-Fly Ontology Matching—0
An Efficient Active Learning Framework for New Relation Types—0
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
A Factoid Question Answering System Using Answer Pattern Matching—0
Question Difficulty Estimation in Community Question Answering Services—0
Growing Multi-Domain Glossaries from a Few Seeds using Probabilistic Topic Models—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Detecting Spammers in Community Question Answering—0
Labeled Alignment for Recognizing Textual Entailment—0
Harvesting Parallel News Streams to Generate Paraphrases of Event Relations—0
Mining Japanese Compound Words and Their Pronunciations from Web Pages and Tweets—0
An Empirical Assessment of Contemporary Online Media in Ad-Hoc Corpus Creation for Social Events—0
Learning to answer 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