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 2376–2400 of 10817 papers

TitleStatusHype
Classifying Inconsistencies in DBpedia Language Specific Chapters—0
Classifier Combination Approach for Question Classification for Bengali Question Answering System—0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
Aligning Opinions: Cross-Lingual Opinion Mining with Dependencies—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Classification of Attributes in a Natural Language Query into Different SQL Clauses—0
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b—0
A Biomedical Question Answering System in BioASQ 2017—0
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs—0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Diversifying Joint Vision-Language Tokenization Learning—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Diverse Multi-Answer Retrieval with Determinantal Point Processes—0
Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs—0
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning—0
ARS\_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System—0
Aligning LLMs through Multi-perspective User Preference Ranking-based Feedback for Programming Question Answering—0
Citations and Trust in LLM Generated Responses—0
Citation Analysis with Neural Attention Models—0
Around the GLOBE: Numerical Aggregation Question-Answering on Heterogeneous Genealogical Knowledge Graphs with Deep Neural Networks—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