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 9701–9750 of 10817 papers

TitleStatusHype
Supervised Distributional Hypernym Discovery via Domain Adaptation—0
Antecedent Selection for Sluicing: Structure and Content—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
POLY: Mining Relational Paraphrases from Multilingual Sentences—0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification—0
MixKMeans: Clustering Question-Answer Archives—0
Porting an Open Information Extraction System from English to GermanCode0
AMR Parsing with an Incremental Joint Model—0
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering—0
On Generating Characteristic-rich Question Sets for QA Evaluation—0
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network—0
Learning to Answer Questions from Wikipedia Infoboxes—0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition—0
Improving Semantic Parsing via Answer Type Inference—0
Discourse Parsing with Attention-based Hierarchical Neural Networks—0
Nested Propositions in Open Information Extraction—0
Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser—0
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
Combining Multiple Cues for Visual Madlibs Question Answering—0
End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension—0
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes—0
Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems—0
Proposing Plausible Answers for Open-ended Visual Question Answering—0
Addressing Community Question Answering in English and Arabic—0
Gated End-to-End Memory NetworksCode0
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
Open-Ended Visual Question-AnsweringCode0
Visual Question Answering: Datasets, Algorithms, and Future ChallengesCode0
Toward the automatic extraction of knowledge of usable goods—0
Planting Trees in the Desert: Delexicalized Tagging and Parsing Combined—0
Automatic Identifying Entity Type in Linked Data—0
Neural Joint Learning for Classifying Wikipedia Articles into Fine-grained Named Entity Types—0
A Pipeline Japanese Entity Linking System with Embedding Features—0
Hierarchical Memory Networks for Answer Selection on Unknown WordsCode0
Creating Causal Embeddings for Question Answering with Minimal Supervision—0
Learning to Translate for Multilingual Question Answering—0
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA)—0
Enhancing LambdaMART Using Oblivious Trees—0
A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations—0
Graph-Structured Representations for Visual Question Answering—0
ReasoNet: Learning to Stop Reading in Machine Comprehension—0
Lexical-Morphological Modeling for Legal Text Analysis—0
Skipping Word: A Character-Sequential Representation based Framework for Question Answering—0
Ranking Automatically Generated Questions Using Common Human Queries—0
Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV ShowsCode0
Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil—0
Measuring Machine Intelligence Through Visual Question Answering—0
Towards Transparent AI Systems: Interpreting Visual Question Answering Models—0
Visual Question: Predicting If a Crowd Will Agree on the Answer—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