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 9901–9925 of 10817 papers

TitleStatusHype
Cross-Lingual Question Answering Using Common Semantic Space—0
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
Effective Crowd Annotation for Relation Extraction—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—0
Using Confusion Graphs to Understand Classifier Error—0
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement—0
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering—0
The Physics of Text: Ontological Realism in Information Extraction—0
This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering—0
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment ClassificationCode0
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures—0
VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval—0
Watson Discovery Advisor: Question-answering in an industrial setting—0
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation—0
Syntactic Parsing of Web Queries with Question Intent—0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Boosting Question Answering by Deep Entity Recognition—0
Hierarchical Memory Networks—0
Ask Your Neurons: A Deep Learning Approach to Visual Question AnsweringCode0
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues—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