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 9951–10000 of 10817 papers

TitleStatusHype
Self-Updatable Large Language Models with Parameter Integration—0
Self-Wiring Question Answering Systems—0
*SEM 2013 shared task: Semantic Textual Similarity—0
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA—0
Semantically Driven Auto-completion—0
Semantically Motivated Hebrew Verb-Noun Multi-Word Expressions Identification—0
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability—0
Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text—0
Semantic Annotation of Japanese Functional Expressions and its Impact on Factuality Analysis—0
Semantic Answer Similarity for Evaluating Question Answering Models—0
Semantic Answer Type and Relation Prediction Task (SMART 2021)—0
Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering—0
Semantic-aware Modular Capsule Routing for Visual Question Answering—0
Semantic Composition in Visually Grounded Language Models—0
Semantic Compression With Large Language Models—0
Semantic Consistency for Assuring Reliability of Large Language Models—0
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search—0
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives?—0
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs—0
Semantic Framework for Comparison Structures in Natural Language—0
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases—0
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection—0
Semantic Modeling for Food Recommendation Explanations—0
Semantic Parsing for Single-Relation Question Answering—0
Semantic Parsing to Probabilistic Programs for Situated Question Answering—0
Semantic Parsing using Distributional Semantics and Probabilistic Logic—0
Semantic Parsing via Paraphrasing—0
Semantic Relations in Discourse: The Current State of ISO 24617-8—0
Semantic Role Labeling of Implicit Arguments for Nominal Predicates—0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets—0
Semantic Roles in Grammar Engineering—0
Semantics-based Graph Approach to Complex Question-Answering—0
Semantic Search as Extractive Paraphrase Span Detection—0
Semantic Parsing for Question Answering over Knowledge Graphs—0
Semantic Sentence Composition Reasoning for Multi-Hop Question Answering—0
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information—0
Semantic similarity estimation for domain specific data using BERT and other techniques—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation—0
Semantic Structure based Query Graph Prediction for Question Answering over Knowledge Graph—0
Semantic Technologies in IBM Watson—0
Semantic Textual Similarity: past present and future—0
Semantic Textual Similarity with Siamese Neural Networks—0
Semantic Tokens in Retrieval Augmented Generation—0
Semantic Web Enabled Geographic Question Answering Framework: GeoTR—0
SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching—0
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity—0
Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization—0
SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation—0
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization—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