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 7926–7950 of 10817 papers

TitleStatusHype
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
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
RAG based Question-Answering for Contextual Response Prediction System—0
Introducing "Forecast Utterance" for Conversational Data Science—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—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
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—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
Examining Long-Context Large Language Models for Environmental Review Document Comprehension—0
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos—0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—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
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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