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

Showing 65516600 of 10817 papers

TitleStatusHype
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC0
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering0
Cognitive Visual Commonsense Reasoning Using Dynamic Working MemoryCode0
How to make qubits speak0
Ethics Sheets for AI TasksCode1
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study0
A Practical 2-step Approach to Assist Enterprise Question-Answering Live Chat0
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic RewardsCode1
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer0
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization0
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering0
Adventurer's Treasure Hunt: A Transparent System for Visually Grounded Compositional Visual Question Answering based on Scene Graphs0
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering0
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph0
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability0
Multimodal Few-Shot Learning with Frozen Language Models0
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing0
A Picture May Be Worth a Hundred Words for Visual Question Answering0
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training0
VOGUE: Answer Verbalization through Multi-Task LearningCode0
AIT-QA: Question Answering Dataset over Complex Tables in the Airline IndustryCode1
OKGIT: Open Knowledge Graph Link Prediction with Implicit TypesCode0
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales0
Abg-CoQA: Clarifying Ambiguity in Conversational Question AnsweringCode1
Open Temporal Relation Extraction for Question Answering0
A Joint Training Framework for Open-World Knowledge Graph Embeddings0
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple SentencesCode1
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-AnsweringCode0
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question AnsweringCode1
KaggleDBQA: Realistic Evaluation of Text-to-SQL ParsersCode0
Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic TestingCode1
NExT-QA: Next Phase of Question-Answering to Explaining Temporal ActionsCode1
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual WordsCode1
Predicting Human Scanpaths in Visual Question AnsweringCode1
VQA-Aid: Visual Question Answering for Post-Disaster Damage Assessment and Analysis0
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question AnsweringCode0
SPBERT: An Efficient Pre-training BERT on SPARQL Queries for Question Answering over Knowledge GraphsCode1
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity LinkingCode1
Modeling Worlds in TextCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
An Intelligent Question Answering System based on Power Knowledge Graph0
Disentangling Online Chats with DAG-Structured LSTMs0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections0
Probing Image-Language Transformers for Verb UnderstandingCode1
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
Question Answering Infused Pre-training of General-Purpose Contextualized RepresentationsCode1
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
Consistency Regularization for Cross-Lingual Fine-TuningCode1
Exploiting Sentence-Level Representations for Passage RankingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified