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 4776–4800 of 10817 papers

TitleStatusHype
A Discriminative Semantic Ranker for Question Retrieval—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
A Two Level Model for Context Sensitive Inference Rules—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
Creation of Corpus and Analysis in Code-Mixed Kannada-English Social Media Data for POS Tagging—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
Attribute Value Generation from Product Title using Language Models—0
A Named Entity Recognition Shootout for German—0
Joint Entity Recognition and Disambiguation—0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
Creating Arabic LLM Prompts at Scale—0
Creating a PurposeNet Ontology: An insight into the issues encountered during ontology creation—0
Creating and using large monolingual parallel corpora for sentential paraphrase generation—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations—0
A Discriminative Hierarchical Model for Fast Coreference at Large Scale—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
基于多头注意力和BiLSTM改进DAM模型的中文问答匹配方法(Chinese question answering method based on multi-head attention and BiLSTM improved DAM model)—0
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering—0
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions—0
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task—0
基於深度學習之簡答題問答系統初步探討(A Preliminary Study on Deep Learning-based Short Answer Question Answering System)—0
CQ-VQA: Visual Question Answering on Categorized Questions—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