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 5651–5700 of 10817 papers

TitleStatusHype
Atomic Fact Decomposition Helps Attributed Question Answering—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Logically Consistent Loss for Visual Question Answering—0
IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition—0
Learning to Rank Answer Candidates for Automatic Resolution of Crossword Puzzles—0
Distributed Deep Learning for Question Answering—0
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering—0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models—0
Neural Reasoning, Fast and Slow, for Video Question Answering—0
Learning to Recognize the Unseen Visual Predicates—0
Logical Parsing from Natural Language Based on a Neural Translation Model—0
Learning to Rehearse in Long Sequence Memorization—0
Ditch the Gold Standard: Re-evaluating Conversational Question Answering—0
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
ATM: Action Temporality Modeling for Video Question Answering—0
Diverse and Non-redundant Answer Set Extraction on Community QA based on DPPs—0
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching—0
Learning to Select Question-Relevant Relations for Visual Question Answering—0
Learning to Select the Relevant History Turns in Conversational Question Answering—0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks—0
Learning to Specialize with Knowledge Distillation for Visual Question Answering—0
Learning to Summarise Related Sentences—0
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions—0
Learning to Temporally Order Medical Events in Clinical Text—0
Convolutional Interaction Network for Natural Language Inference—0
Learning to Transpile AMR into SPARQL—0
Learning to Transpile AMR into SPARQL—0
Learning Trajectory-Word Alignments for Video-Language Tasks—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
Logical Consistency of Large Language Models in Fact-checking—0
Learning Verb Inference Rules from Linguistically-Motivated Evidence—0
Learning Visual Knowledge Memory Networks for Visual Question Answering—0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation—0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Learning with Limited Data for Multilingual Reading Comprehension—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
I Have Seen Enough: A Teacher Student Network for Video Classification Using Fewer Frames—0
Logical Inference on Dependency-based Compositional Semantics—0
Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding—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