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
Generating Natural Language Inference Chains—0
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information—0
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?—0
Applying Universal Schemas for Domain Specific Ontology Expansion—0
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach—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
Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline—0
OSU\_CHGCG at SemEval-2016 Task 9 : Chinese Semantic Dependency Parsing with Generalized Categorial Grammar—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Open-domain Factoid Question Answering via Knowledge Graph Search—0
Incorporating Selectional Preferences in Multi-hop Relation Extraction—0
Recent Progress in Deep Learning for NLP—0
KeLP at SemEval-2016 Task 3: Learning Semantic Relations between Questions and Answers—0
ICL00 at SemEval-2016 Task 3: Translation-Based Method for CQA System—0
CaTeRS: Causal and Temporal Relation Scheme for Semantic Annotation of Event Structures—0
Discontinuous Genitives in Hindi/Urdu—0
Overfitting at SemEval-2016 Task 3: Detecting Semantically Similar Questions in Community Question Answering Forums with Word Embeddings—0
JUNLP at SemEval-2016 Task 13: A Language Independent Approach for Hypernym Identification—0
Answer-Type Prediction for Visual Question Answering—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
But What Do We Actually Know?—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Combining syntactic patterns and Wikipedia's hierarchy of hyperlinks to extract meronym relations—0
Effective Crowd Annotation for Relation Extraction—0
Proceedings of the Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL)—0
Proceedings of the Workshop on Human-Computer Question Answering—0
QU-IR at SemEval 2016 Task 3: Learning to Rank on Arabic Community Question Answering Forums with Word Embedding—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—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
ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity—0
DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity—0
Multimodal Use of an Upper-Level Event Ontology—0
BIT at SemEval-2016 Task 1: Sentence Similarity Based on Alignments and Vector with the Weight of Information Content—0
ISCAS\_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features—0
Hitachi at SemEval-2016 Task 12: A Hybrid Approach for Temporal Information Extraction from Clinical Notes—0
NUIG-UNLP at SemEval-2016 Task 13: A Simple Word Embedding-based Approach for Taxonomy Extraction—0
``A Distorted Skull Lies in the Bottom Center...'' Identifying Paintings from Text Descriptions—0
Question Answering with Knowledge Base, Web and Beyond—0
PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering—0
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
Grounded Semantic Role Labeling—0
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Coreference Resolution for the Basque Language with BART—0
Right-truncatable Neural Word Embeddings—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—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