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 9651–9675 of 10817 papers

TitleStatusHype
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts—0
Problematic Cases in the Annotation of Negation in Spanish—0
Categorization of Semantic Roles for Dictionary Definitions—0
A Hierarchical Neural Network for Information Extraction of Product Attribute and Condition Sentences—0
QAF: Frame Semantics-based Question Interpretation—0
Combining Lexical and Semantic-based Features for Answer Sentence Selection—0
Pairing Wikipedia Articles Across Languages—0
Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)—0
Entity-Supported Summarization of Biomedical Abstracts—0
An Entity-Based approach to Answering Recurrent and Non-Recurrent Questions with Past Answers—0
Filling a Knowledge Graph with a Crowd—0
CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks—0
Microsyntactic Phenomena as a Computational Linguistics Issue—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
Name Variation in Community Question Answering Systems—0
Neural Clinical Paraphrase Generation with Attention—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Improvement of VerbNet-like resources by frame typing—0
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?—0
A Dataset for Multimodal Question Answering in the Cultural Heritage Domain—0
The Development of Multimodal Lexical Resources—0
Dialogue Learning With Human-In-The-LoopCode2
MS MARCO: A Human Generated MAchine Reading COmprehension DatasetCode1
Learning a Natural Language Interface with Neural ProgrammerCode0
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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