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 9251–9300 of 10817 papers

TitleStatusHype
Integrating Vision and Language Datasets to Measure Word Concreteness—0
Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks—0
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia—0
Assessing the Verifiability of Attributions in News Text—0
Automated Historical Fact-Checking by Passage Retrieval, Word Statistics, and Virtual Question-Answering—0
A Method to Generate a Machine-Labeled Data for Biomedical Named Entity Recognition with Various Sub-Domains—0
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering—0
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification—0
Paraphrase Generation with Deep Reinforcement Learning—0
Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation—0
Lexical Simplification with the Deep Structured Similarity Model—0
Guess What: A Question Answering Game via On-demand Knowledge Validation—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
Summarizing Lengthy Questions—0
Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification—0
DCN+: Mixed Objective and Deep Residual Coattention for Question AnsweringCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering—0
Phase Conductor on Multi-layered Attentions for Machine Comprehension—0
Rotational Unit of MemoryCode0
Using Multi-Label Classification for Improved Question AnsweringCode0
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering—0
iVQA: Inverse Visual Question Answering—0
Smarnet: Teaching Machines to Read and Comprehend Like Human—0
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl—0
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection—0
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics—0
Fully Automated Fact Checking Using External SourcesCode0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
Lexical Disambiguation in Natural Language Questions (NLQs)—0
Fooling Vision and Language Models Despite Localization and Attention Mechanism—0
Survey of Recent Advances in Visual Question Answering—0
Visual Reference Resolution using Attention Memory for Visual Dialog—0
Visual Question Generation as Dual Task of Visual Question Answering—0
Exploring Human-like Attention Supervision in Visual Question Answering—0
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering—0
Learning Intrinsic Sparse Structures within Long Short-Term MemoryCode0
Conversational Exploratory Search via Interactive Storytelling—0
Query-based Attention CNN for Text Similarity MapCode0
Robustness Analysis of Visual QA Models by Basic Questions—0
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation—0
Using NLU in Context for Question Answering: Improving on Facebook's bAbI Tasks—0
Variational Reasoning for Question Answering with Knowledge GraphCode0
Abductive Matching in Question Answering—0
Globally Normalized ReaderCode0
A Unified Query-based Generative Model for Question Generation and Question Answering—0
Understanding the Logical and Semantic Structure of Large Documents—0
Word Embeddings as Features for Supervised Coreference Resolution—0
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach—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