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 9501–9550 of 10817 papers

TitleStatusHype
C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset—0
Ruminating Reader: Reasoning with Gated Multi-Hop Attention—0
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets—0
Learning to Skim TextCode0
Improved Neural Relation Detection for Knowledge Base Question Answering—0
Answering Complex Questions Using Open Information ExtractionCode0
SearchQA: A New Q&A Dataset Augmented with Context from a Search EngineCode0
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question AnsweringCode0
Leveraging Term Banks for Answering Complex Questions: A Case for Sparse Vectors—0
Mining Object Parts from CNNs via Active Question-Answering—0
An Empirical Evaluation of Visual Question Answering for Novel Objects—0
Combining Lexical and Syntactic Features for Detecting Content-dense Texts in News—0
It Takes Two to Tango: Towards Theory of AI's Mind—0
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks—0
Integer Linear Programming formulations in Natural Language Processing—0
Arabic Textual Entailment with Word Embeddings—0
Discriminating between Similar Languages with Word-level Convolutional Neural Networks—0
Assessing SRL Frameworks with Automatic Training Data Expansion—0
Improving Clinical Diagnosis Inference through Integration of Structured and Unstructured Knowledge—0
ParaDi: Dictionary of Paraphrases of Czech Complex Predicates with Light Verbs—0
Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse—0
Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering—0
Universal Dependencies for Arabic—0
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems—0
Effective shared representations with Multitask Learning for Community Question Answering—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
ICE: Idiom and Collocation Extractor for Research and Education—0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Discriminative Information Retrieval for Question Answering Sentence SelectionCode0
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment—0
Paraphrasing Revisited with Neural Machine Translation—0
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models—0
Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames—0
Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
On the Need of Cross Validation for Discourse Relation Classification—0
If No Media Were Allowed inside the Venue, Was Anybody Allowed?—0
Learning and Knowledge Transfer with Memory Networks for Machine Comprehension—0
If You Can't Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking—0
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge—0
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?Code0
Reading Wikipedia to Answer Open-Domain QuestionsCode1
An Analysis of Visual Question Answering Algorithms—0
Question Answering from Unstructured Text by Retrieval and Comprehension—0
Recurrent and Contextual Models for Visual Question Answering—0
Multimodal Compact Bilinear Pooling for Multimodal Neural Machine Translation—0
VQABQ: Visual Question Answering by Basic Questions—0
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture—0
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network—0
Emergence of Grounded Compositional Language in Multi-Agent PopulationsCode1
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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