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 4726–4750 of 10817 papers

TitleStatusHype
Iterative Adversarial Attack on Image-guided Story Ending Generation—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Cross-lingual Short-text Matching with Deep Learning—0
Cross-Lingual Question Answering Using Common Semantic Space—0
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
Cross-Lingual Named Entity Recognition via FastAlign: a Case Study—0
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata—0
An approach based on Open Research Knowledge Graph for Knowledge Acquisition from scientific papers—0
Cross-lingual Inference with A Chinese Entailment Graph—0
Achieving Human Parity on Visual Question Answering—0
Is Sluice Resolution really just Question Answering?—0
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks—0
Crosslingual Induction of Semantic Roles—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Anaphora Annotation in Hindi Dependency TreeBank—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Cross-language Learning with Adversarial Neural Networks—0
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA—0
Cross-Language Approach for Quranic QA—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs—0
``A Distorted Skull Lies in the Bottom Center...'' Identifying Paintings from Text Descriptions—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