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 6701–6750 of 10817 papers

TitleStatusHype
Hierarchical Topic Structuring: From Dense Segmentation to Topically Focused Fragments via Burst Analysis—0
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification—0
Multi-Perspective Abstractive Answer Summarization—0
CAD -- Contextual Multi-modal Alignment for Dynamic AVQA—0
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks—0
Multiple Abstraction Level Retrieve Augment Generation—0
Hierarchical Topical Segmentation with Affinity Propagation—0
Multiple-Choice Question Generation Using Large Language Models: Methodology and Educator Insights—0
Context based Text-generation using LSTM networks—0
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering—0
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering—0
Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds—0
Context-Based Quotation Recommendation—0
A Multimodal Corpus of Rapid Dialogue Games—0
Hierarchical Question Answering for Long Documents—0
Multi-Review Fusion-in-Context—0
Context-Aware Transformer Pre-Training for Answer Sentence Selection—0
Hierarchical Poset Decoding for Compositional Generalization in Language—0
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering—0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation—0
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering—0
Multi-source named entity typing for social media—0
A survey of SMS based Information Systems—0
Addition is All You Need for Energy-efficient Language Models—0
A* CCG Parsing with a Supertag-factored Model—0
Hierarchical Multitask Learning Approach for BERT—0
Context-Aware Neural Model for Temporal Information Extraction—0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
A Survey of Question Answering for Math and Science Problem—0
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog—0
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned—0
Multi-style Generative Reading Comprehension—0
Hierarchical Memory Networks—0
Hierarchical Memory for Long Video QA—0
Enriching Knowledge Bases with Interesting Negative Statements—0
Multitask Finetuning for Improving Neural Machine Translation in Indian Languages—0
Context-aware Natural Language Generation for Spoken Dialogue Systems—0
Enriching SerbianWordNet and Electronic Dictionaries with Terms from the Culinary Domain—0
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning—0
Multi-task Learning of Hierarchical Vision-Language Representation—0
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering—0
Multitask Learning with Deep Neural Networks for Community Question Answering—0
Ensemble approach for natural language question answering problem—0
Multi-task Retrieval for Knowledge-Intensive Tasks—0
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems—0
Ensemble Transfer Learning for Multilingual Coreference Resolution—0
Multi-threaded Interaction Management for Dynamic Spatial Applications—0
Context-aware Learning for Sentence-level Sentiment Analysis with Posterior Regularization—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