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 7901–7950 of 10817 papers

TitleStatusHype
12-in-1: Multi-Task Vision and Language Representation LearningCode0
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach—0
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering—0
SemEval-2016 Task 3: Community Question Answering—0
Unsupervised Inflection Generation Using Neural Language Modeling—0
TutorialVQA: Question Answering Dataset for Tutorial VideosCode0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
SemEval-2017 Task 3: Community Question AnsweringCode0
Building Discourse Parser for Thirukkural—0
基於特徵粒度之訓練策略於中文口語問答系統之應用 (A Feature-granularity Training Strategy for Chinese Spoken Question Answering)—0
Deep Human Answer Understanding for Natural Reverse QA—0
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) TimeCode0
TAB-VCR: Tags and Attributes based VCR BaselinesCode0
Compositional De-Attention Networks—0
RUBi: Reducing Unimodal Biases for Visual Question AnsweringCode0
A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique—0
A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop—0
Assessing the Robustness of Visual Question Answering Models—0
Evaluating Commonsense in Pre-trained Language ModelsCode0
Label Dependent Deep Variational Paraphrase Generation—0
Transfer Learning in Visual and Relational Reasoning—0
JEC-QA: A Legal-Domain Question Answering Dataset—0
PIQA: Reasoning about Physical Commonsense in Natural LanguageCode1
SemEval-2015 Task 3: Answer Selection in Community Question Answering—0
A Vietnamese Text-Based Conversational Agent—0
A Vietnamese Question Answering System—0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension—0
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question AnsweringCode1
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition—0
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics—0
Unsupervised Keyword Extraction for Full-sentence VQA—0
An End-to-End Framework for Cold Question Routing in Community Question Answering Services—0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Interactive Text Ranking with Bayesian Optimisation: A Case Study on Community QA and SummarisationCode0
The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service—0
Improving Conditioning in Context-Aware Sequence to Sequence Models—0
Paraphrasing with Large Language Models—0
Temporal Reasoning via Audio Question AnsweringCode0
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word EmbeddingsCode0
Global Thread-Level Inference for Comment Classification in Community Question Answering—0
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA—0
Unsupervised Natural Question Answering with a Small Model—0
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems—0
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering—0
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual DialogueCode0
Inductive Relation Prediction by Subgraph ReasoningCode1
Selection-based Question Answering of an MOOCCode0
Question-Conditioned Counterfactual Image Generation for VQA—0
FAQ-based Question Answering via Knowledge Anchors—0
Adapting and evaluating a deep learning language model for clinical why-question answering—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