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 9651–9700 of 10817 papers

TitleStatusHype
Dedicated Workflow Management for OKBQA Framework—0
Pairing Wikipedia Articles Across Languages—0
BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical QuestionsCode0
Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application—0
An Entity-Based approach to Answering Recurrent and Non-Recurrent Questions with Past Answers—0
Building a Dictionary of Affixal NegationsCode0
Combining Lexical and Semantic-based Features for Answer Sentence Selection—0
Filling a Knowledge Graph with a Crowd—0
Answering Yes-No Questions by Penalty Scoring in History Subjects of University Entrance Examinations—0
Answer Presentation in Question Answering over Linked Data using Typed Dependency Subtree Patterns—0
A Hierarchical Neural Network for Information Extraction of Product Attribute and Condition Sentences—0
Entity-Supported Summarization of Biomedical Abstracts—0
Name Variation in Community Question Answering Systems—0
Microsyntactic Phenomena as a Computational Linguistics Issue—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?—0
Improvement of VerbNet-like resources by frame typing—0
Character-Aware Neural Networks for Arabic Named Entity Recognition for Social Media—0
Neural Clinical Paraphrase Generation with Attention—0
A Dataset for Multimodal Question Answering in the Cultural Heritage Domain—0
The Development of Multimodal Lexical Resources—0
Dialogue Learning With Human-In-The-LoopCode2
MS MARCO: A Human Generated MAchine Reading COmprehension DatasetCode1
Learning a Natural Language Interface with Neural ProgrammerCode0
Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning—0
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning—0
A dataset and exploration of models for understanding video data through fill-in-the-blank question-answeringCode0
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic—0
Zero-Shot Visual Question Answering—0
Knowledge Enhanced Hybrid Neural Network for Text Matching—0
SimDoc: Topic Sequence Alignment based Document Similarity Framework—0
Training IBM Watson using Automatically Generated Question-Answer Pairs—0
Leveraging Video Descriptions to Learn Video Question Answering—0
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering—0
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data ProcessingCode1
Self-Wiring Question Answering Systems—0
Hierarchical Question Answering for Long Documents—0
Words or Characters? Fine-grained Gating for Reading ComprehensionCode1
Bidirectional Attention Flow for Machine ComprehensionCode0
Dynamic Coattention Networks For Question AnsweringCode0
Answering Complicated Question Intents Expressed in Decomposed Question Sequences—0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Dual Attention Networks for Multimodal Reasoning and MatchingCode0
Research on attention memory networks as a model for learning natural language inference—0
Citation Analysis with Neural Attention Models—0
Towards Broad-coverage Meaning Representation: The Case of Comparison Structures—0
Statistical Script Learning with Recurrent Neural Networks—0
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding—0
Rule Extraction for Tree-to-Tree Transducers by Cost Minimization—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