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 9776–9800 of 10817 papers

TitleStatusHype
Why ``Blow Out''? A Structural Analysis of the Movie Dialog Dataset—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
A Discourse-Annotated Corpus of Conjoined VPs—0
An End-to-End Chinese Discourse Parser with Adaptation to Explicit and Non-explicit Relation Recognition—0
A Constituent Syntactic Parse Tree Based Discourse Parser—0
Orthogonality regularizer for question answering—0
Adding Context to Semantic Data-Driven Paraphrasing—0
Learning to Jointly Predict Ellipsis and Comparison Structures—0
Natural Solution to FraCaS Entailment Problems—0
QA-It: Classifying Non-Referential It for Question Answer PairsCode0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Combining Natural Logic and Shallow Reasoning for Question Answering—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationCode0
Deep Fusion LSTMs for Text Semantic Matching—0
Easy Questions First? A Case Study on Curriculum Learning for Question Answering—0
How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation—0
Annotating Relation Inference in Context via Question Answering—0
Improved Representation Learning for Question Answer Matching—0
POLYGLOT: Multilingual Semantic Role Labeling with Unified Labels—0
Beyond Plain Spatial Knowledge: Determining Where Entities Are and Are Not Located, and For How Long—0
Identifying Causal Relations Using Parallel Wikipedia Articles—0
Mining Paraphrasal Typed Templates from a Plain Text Corpus—0
Finding the Middle Ground - A Model for Planning Satisficing Answers—0
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text—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