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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7501–7550 of 10817 papers

TitleStatusHype
PlotQA: Reasoning over Scientific Plots—0
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture—0
Automatic Evaluation of Summary Using Textual Entailment—0
An Emotional Comfort Framework for Improving User Satisfaction in E-Commerce Customer Service Chatbots—0
Predicting Question Quality on StackOverflow with Neural Networks—0
Predicting Relative Depth between Objects from Semantic Features—0
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP—0
Advancing Chinese biomedical text mining with community challenges—0
A Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch.—0
Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam—0
Predicting the impact of dataset composition on model performance—0
(2.5+1)D Spatio-Temporal Scene Graphs for Video Question Answering—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Prediction of the Realisation of an Information Need: An EEG Study—0
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network—0
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering—0
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata—0
PREFER: Using a Graph-Based Approach to Generate Paraphrases for Language Learning—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Joint learning of object graph and relation graph for visual question answering—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
PreSTU: Pre-Training for Scene-Text Understanding—0
Joint Learning of Entity Linking Constraints Using a Markov-Logic Network—0
Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs—0
Joint Learning of a Dual SMT System for Paraphrase Generation—0
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach—0
Data-Efficient French Language Modeling with CamemBERTa—0
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain—0
Joint Inference for Heterogeneous Dependency Parsing—0
Joint Inference for Fine-grained Opinion Extraction—0
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?—0
Pre-training image-language transformers for open-vocabulary tasks—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Pre-training Language Models with Deterministic Factual Knowledge—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Joint Image Captioning and Question Answering—0
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Pre-training Universal Language Representation—0
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks—0
Pretrain Knowledge-Aware Language Models—0
PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering—0
Joint Entity Recognition and Disambiguation—0
Automatic Coupling of Answer Extraction and Information Retrieval—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Data augmentation techniques for the Video Question Answering task—0
Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch—0
Advances in Natural Language Question Answering: A Review—0
Data Augmentation for Visual Question Answering—0
Show:102550
← PrevPage 151 of 217Next →
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