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 7651–7700 of 10817 papers

TitleStatusHype
A French Corpus for Semantic Similarity—0
Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering—0
An Empirical Comparison of Question Classification Methods for Question Answering Systems—0
ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension—0
Assessing Users' Reputation from Syntactic and Semantic Information in Community Question Answering—0
Generating Responses that Reflect Meta Information in User-Generated Question Answer Pairs—0
The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems—0
SiBert: Enhanced Chinese Pre-trained Language Model with Sentence InsertionCode1
TED-Q: TED Talks and the Questions they Evoke—0
MTSI-BERT: A Session-aware Knowledge-based Conversational AgentCode1
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
LifeQA: A Real-life Dataset for Video Question AnsweringCode1
Automated Discovery of Mathematical Definitions in Text—0
Image Position Prediction in Multimodal Documents—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringCode1
KLEJ: Comprehensive Benchmark for Polish Language UnderstandingCode1
Self-supervised Knowledge Triplet Learning for Zero-shot Question Answering—0
Visuo-Linguistic Question Answering (VLQA) ChallengeCode0
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions—0
KPQA: A Metric for Generative Question Answering Using Keyphrase WeightsCode1
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingCode1
Progressively Pretrained Dense Corpus Index for Open-Domain Question AnsweringCode1
Question Rewriting for Conversational Question Answering—0
Exploring Contextualized Neural Language Models for Temporal Dependency ParsingCode0
RikiNet: Reading Wikipedia Pages for Natural Question Answering—0
Dynamic Language Binding in Relational Visual ReasoningCode1
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual TransferCode2
Look at the First Sentence: Position Bias in Question AnsweringCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Robust Question Answering Through Sub-part Alignment—0
Context based Text-generation using LSTM networks—0
How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable MaskingCode1
Pragmatic Issue-Sensitive Image CaptioningCode0
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT—0
The Effect of Natural Distribution Shift on Question Answering Models—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—0
Empower Entity Set Expansion via Language Model ProbingCode1
Efficient Document Re-Ranking for Transformers by Precomputing Term RepresentationsCode0
SubjQA: A Dataset for Subjectivity and Review ComprehensionCode1
Event Extraction by Answering (Almost) Natural QuestionsCode1
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
Conversational Question Answering over Passages by Leveraging Word Proximity NetworksCode1
SCDE: Sentence Cloze Dataset with High Quality Distractors From ExaminationsCode1
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and SummarizationCode1
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
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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