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 10451–10475 of 10817 papers

TitleStatusHype
Classifying Questions in Question Answering System Using Finite State Machines with a Simple Learning Approach—0
KOSAC: A Full-Fledged Korean Sentiment Analysis Corpus—0
Aligning Verb Senses in Two Italian Lexical Semantic Resources—0
Textual Inference and Meaning Representation in Human Robot Interaction—0
Semantic Textual Similarity: past present and future—0
Using Shallow Semantic Parsing and Relation Extraction for Finding Contradiction in Text—0
University Entrance Examinations as a Benchmark Resource for NLP-based Problem Solving—0
Unsupervised Relation Extraction with General Domain Knowledge—0
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data—0
What Information is Helpful for Dependency Based Semantic Role Labeling—0
Semi-Supervised Answer Extraction from Discussion Forums—0
Unsupervised Induction of Cross-Lingual Semantic Relations—0
Semi-Markov Phrase-Based Monolingual Alignment—0
Using Paraphrases and Lexical Semantics to Improve the Accuracy and the Robustness of Supervised Models in Situated Dialogue Systems—0
Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries—0
Event-Based Time Label Propagation for Automatic Dating of News Articles—0
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification—0
Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia—0
A Dataset for Research on Short-Text Conversations—0
Cross-Domain Answer Ranking using Importance Sampling—0
Learning Biological Processes with Global Constraints—0
Interpreting Anaphoric Shell Nouns using Antecedents of Cataphoric Shell Nouns as Training Data—0
Detecting Bot-Answerable Questions in Ubuntu Chat—0
Malayalam Clause Boundary Identifier: Annotation and Evaluation—0
Exploiting Language Models for Visual Recognition—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