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 7951–8000 of 10817 papers

TitleStatusHype
Introduction method for argumentative dialogue using paired question-answering interchange about personality—0
Introducing Semantics into Speech Encoders—0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction—0
CS-NLP team at SemEval-2020 Task 4: Evaluation of State-of-the-art NLP Deep Learning Architectures on Commonsense Reasoning Task—0
Introducing "Forecast Utterance" for Conversational Data Science—0
Ranking Automatically Generated Questions Using Common Human Queries—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model—0
Ranking LLMs by compression—0
CSAT‑FTCN: A Fuzzy‑Oriented Model with Contextual Self‑attention Network for Multimodal Emotion Recognition—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
A Natural Language Instructor for pedestrian navigation based in generation by selection—0
A Domain and Language Independent Named Entity Classification Approach Based on Profiles and Local Information—0
A Coarse to Fine Question Answering System based on Reinforcement Learning—0
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos—0
In-the-Wild Video Question Answering—0
Inter-Weighted Alignment Network for Sentence Pair Modeling—0
Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System—0
CS563-QA: A Collection for Evaluating Question Answering Systems—0
Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis—0
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension—0
An Attentive Sequence Model for Adverse Drug Event Extraction from Biomedical Text—0
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data—0
Interpretation of Natural Language Rules in Conversational Machine Reading—0
Crowdsourcing Inference-Rule Evaluation—0
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision—0
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling—0
Interpretable Visual Question Answering via Reasoning Supervision—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
Crowdsourcing for the identification of event nominals: an experiment—0
AutoEQA: Auto-Encoding Questions for Extractive Question Answering—0
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining—0
Interpretable Visual Question Answering by Reasoning on Dependency Trees—0
Crowdsourcing for (almost) Real-time Question Answering—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Reading Comprehension using Entity-based Memory Network—0
Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation—0
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA—0
ADMUS: A Progressive Question Answering Framework Adaptable to Multiple Knowledge Sources—0
RealCQA-V2 : Visual Premise Proving A Manual COT Dataset for Charts—0
Interpretable Question Answering on Knowledge Bases and Text—0
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization—0
Interpretable Proof Generation via Iterative Backward Reasoning—0
Interpretable Neural Computation for Real-World Compositional Visual 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