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 6851–6900 of 10817 papers

TitleStatusHype
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References—0
Challenges in Generalization in Open Domain Question Answering—0
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation—0
Explainable Assessment of Healthcare Articles with QA—0
Evaluation of Transfer Learning for Polish with a text-to-text model—0
Echo-Attention: Attend Once and Get N Attentions for Free—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Ditch the Gold Standard: Re-evaluating Conversational Question Answering—0
Learning Rich Representation of Keyphrases from Text—0
xGQA: Cross-Lingual Visual Question Answering—0
Cross-lingual Inference with A Chinese Entailment Graph—0
Cooperative Semi-Supervised Transfer Learning of Machine Reading Comprehension—0
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher—0
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation—0
Semantic Search as Extractive Paraphrase Span Detection—0
Towards Transparent Interactive Semantic Parsing via Step-by-Step CorrectionCode0
Attacking Open-domain Question Answering by Injecting MisinformationCode0
A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead—0
Retrieval-guided Counterfactual Generation for QA—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Open-Domain Question-Answering for COVID-19 and Other Emergent DomainsCode0
MMIU: Dataset for Visual Intent Understanding in Multimodal Assistants—0
Systematic Inequalities in Language Technology Performance across the World's LanguagesCode0
Improving Users' Mental Model with Attention-directed Counterfactual Edits—0
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
Attention-guided Generative Models for Extractive Question Answering—0
A Survey on Legal Question Answering Systems—0
Explainable Fact-checking through Question Answering—0
Beyond Accuracy: A Consolidated Tool for Visual Question Answering BenchmarkingCode0
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
A Framework for Rationale Extraction for Deep QA models—0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Multi-tasking Dialogue Comprehension with Discourse ParsingCode0
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering—0
Noisy Text Data: Achilles' Heel of popular transformer based NLP models—0
GNN is a Counter? Revisiting GNN for Question Answering—0
COVIDRead: A Large-scale Question Answering Dataset on COVID-19—0
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Asking questions on handwritten document collections—0
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA—0
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering—0
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing—0
Generating Justifications in a Spatial Question-Answering Dialogue System for a Blocks World—0
Breaking Down Questions for Outside-Knowledge VQA—0
Variational Disentangled Attention for Regularized Visual Dialog—0
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models—0
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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