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 8351–8400 of 10817 papers

TitleStatusHype
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees—0
AiFu at SemEval-2019 Task 10: A Symbolic and Sub-symbolic Integrated System for SAT Math Question Answering—0
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
Alignment over Heterogeneous Embeddings for Question AnsweringCode0
Litigation Analytics: Extracting and querying motions and orders from US federal courts—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting—0
Improving Knowledge Base Construction from Robust Infobox Extraction—0
Is It Dish Washer Safe? Automatically Answering ``Yes/No'' Questions Using Customer Reviews—0
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with FreebaseCode0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums—0
TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters—0
SemEval-2019 Task 10: Math Question AnsweringCode0
Sequential Attention with Keyword Mask Model for Community-based Question AnsweringCode0
Latent Retrieval for Weakly Supervised Open Domain Question AnsweringCode1
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering ServicesCode0
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems—0
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering—0
Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence—0
Automated assessment of knowledge hierarchy evolution: comparing directed acyclic graphs—0
Natural Questions: a Benchmark for Question Answering Research—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
OK-VQA: A Visual Question Answering Benchmark Requiring External KnowledgeCode1
Scene Text Visual Question AnsweringCode1
Threshold-Based Retrieval and Textual Entailment Detection on Legal Bar Exam Questions—0
What Can Neural Networks Reason About?Code0
A Compare-Aggregate Model with Latent Clustering for Answer Selection—0
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension—0
TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums—0
A Generalized Framework of Sequence Generation with Application to Undirected Sequence ModelsCode0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Vision-to-Language Tasks Based on Attributes and Attention Mechanism—0
Gaining Extra Supervision via Multi-task learning for Multi-Modal Video Question Answering—0
Leveraging Medical Visual Question Answering with Supporting Facts—0
Leap-LSTM: Enhancing Long Short-Term Memory for Text CategorizationCode0
Compositional pre-training for neural semantic parsing—0
Structure Learning for Neural Module Networks—0
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering—0
Commonsense Properties from Query Logs and Question Answering ForumsCode0
Hashing based Answer Selection—0
Gated Group Self-Attention for Answer Selection—0
Why do These Match? Explaining the Behavior of Image Similarity ModelsCode0
Neural Stored-program MemoryCode0
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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