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 8951–9000 of 10817 papers

TitleStatusHype
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results—0
To Attend or not to Attend: A Case Study on Syntactic Structures for Semantic RelatednessCode0
Tackling Code-Switched NER: Participation of CMU—0
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions—0
Syntax for Semantic Role Labeling, To Be, Or Not To BeCode0
The price of debiasing automatic metrics in natural language evalaution—0
Tackling Adversarial Examples in QA via Answer Sentence Selection—0
One-shot Learning for Question-Answering in Gaokao History ChallengeCode0
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video FeaturesCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
Comparative Analysis of Neural QA models on SQuAD—0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Learning Visual Knowledge Memory Networks for Visual Question Answering—0
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question AnsweringCode0
Focused Hierarchical RNNs for Conditional Sequence Processing—0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
FigureNet: A Deep Learning model for Question-Answering on Scientific Plots—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Prosody Modifications for Question-Answering in Voice-Only SettingsCode0
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task—0
Learning Answer Embeddings for Visual Question Answering—0
Cross-Dataset Adaptation for Visual Question Answering—0
SciDTB: Discourse Dependency TreeBank for Scientific AbstractsCode0
Learning to Search in Long Documents Using Document StructureCode0
CS-VQA: Visual Question Answering with Compressively Sensed Images—0
Focal Visual-Text Attention for Visual Question AnsweringCode0
On the Flip Side: Identifying Counterexamples in Visual Question Answering—0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures—0
Scaling Neural Machine TranslationCode0
Learning to Collaborate for Question Answering and Asking—0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
Coarse Lexical Frame Acquisition at the Syntax--Semantics Interface Using a Latent-Variable PCFG Model—0
NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
Neural Event Extraction from Movies Description—0
FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System—0
Natural Answer Generation with Heterogeneous Memory—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Domain-Sensitive Temporal Tagging By Jannik Str\"otgen, Michael Gertz—0
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences—0
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Categorizing Concepts With Basic Level for Vision-to-Language—0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
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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