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 8851–8900 of 10817 papers

TitleStatusHype
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs—0
Semi-Supervised Disfluency Detection—0
Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text—0
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine—0
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class ImbalanceCode0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
A review of Spanish corpora annotated with negationCode0
Adversarial Multi-lingual Neural Relation ExtractionCode0
Knowledge Representation and Extraction at Scale—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
Open-Domain Event Detection using Distant SupervisionCode0
Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse—0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Learning to Generate Word Representations using Subword Information—0
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog ManagerCode0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension—0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference—0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Deep Bayesian Learning and Understanding—0
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank—0
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network—0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering—0
Practical Parsing for Downstream Applications—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
AMR Beyond the Sentence: the Multi-sentence AMR corpus—0
Frame Semantics across Languages: Towards a Multilingual FrameNet—0
Fine-grained Structure-based News Genre Categorization—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory—0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Exploiting Structure in Representation of Named Entities using Active Learning—0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
Paraphrastic Variance between European and Brazilian Portuguese—0
A Neural Question Answering Model Based on Semi-Structured Tables—0
Modeling Task Effects in Human Reading with Neural Network-based Attention—0
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering—0
Question Relevance in Visual Question Answering—0
Question-Aware Sentence Gating Networks for Question and Answering—0
Using link and content over time for embedding generation in Dynamic Attributed NetworksCode0
Pangloss: Fast Entity Linking in Noisy Text Environments—0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
A Survey on Expert Recommendation in Community Question Answering—0
Latent Alignment and Variational AttentionCode0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning—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