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 5401–5425 of 10817 papers

TitleStatusHype
Effect of Non-linear Deep Architecture in Sequence Labeling—0
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs—0
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering—0
Effective shared representations with Multitask Learning for Community Question Answering—0
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions—0
A Corpus for Visual Question Answering Annotated with Frame Semantic Information—0
BizBench: A Quantitative Reasoning Benchmark for Business and Finance—0
Effective Crowd Annotation for Relation Extraction—0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
Answer Generation for Retrieval-based Question Answering Systems—0
A Generative Model for Relation Extraction and Classification—0
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles—0
Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing—0
Answer Generation for Questions With Multiple Information Sources in E-Commerce—0
EDG-Based Question Decomposition for Complex Question Answering over Knowledge Bases—0
BiQuAD: Towards QA based on deeper text understanding—0
ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation—0
BioTABQA: Instruction Learning for Biomedical Table 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