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 7501–7525 of 10817 papers

TitleStatusHype
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering—0
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture—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
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
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Joint Learning of Entity Linking Constraints Using a Markov-Logic Network—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
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
Prediction of the Realisation of an Information Need: An EEG Study—0
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach—0
Data-Efficient French Language Modeling with CamemBERTa—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 Inference for Heterogeneous Dependency Parsing—0
Joint Inference for Fine-grained Opinion Extraction—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
PreSTU: Pre-Training for Scene-Text Understanding—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
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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