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 9851–9900 of 10817 papers

TitleStatusHype
But What Do We Actually Know?—0
Neural Enquirer: Learning to Query Tables in Natural Language—0
Open-domain Factoid Question Answering via Knowledge Graph Search—0
Learning Cross-lingual Representations with Matrix Factorization—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures—0
Multimodal Use of an Upper-Level Event Ontology—0
Cross-Lingual Question Answering Using Common Semantic Space—0
Coreference Resolution for the Basque Language with BART—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Discontinuous Genitives in Hindi/Urdu—0
Crowdsourcing for (almost) Real-time Question Answering—0
Proceedings of the Workshop on Human-Computer Question Answering—0
Applying Universal Schemas for Domain Specific Ontology Expansion—0
Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)—0
``A Distorted Skull Lies in the Bottom Center...'' Identifying Paintings from Text Descriptions—0
The Physics of Text: Ontological Realism in Information Extraction—0
Watson Discovery Advisor: Question-answering in an industrial setting—0
Using Confusion Graphs to Understand Classifier Error—0
VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
OSU\_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar—0
NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings—0
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers—0
ECNU at SemEval-2016 Task 3: Exploring Traditional Method and Deep Learning Method for Question Retrieval and Answer Ranking in Community Question Answering—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
ISCAS\_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity—0
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
QU-IR at SemEval 2016 Task 3: Learning to Rank on Arabic Community Question Answering Forums with Word Embedding—0
ICL00 at SemEval-2016 Task 3: Translation-Based Method for CQA System—0
PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering—0
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement—0
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering—0
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures—0
Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.—0
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)—0
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation—0
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment ClassificationCode0
Right-truncatable Neural Word Embeddings—0
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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