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 9401–9450 of 10817 papers

TitleStatusHype
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learned in Translation: Contextualized Word VectorsCode0
QU-BIGIR at SemEval 2017 Task 3: Using Similarity Features for Arabic Community Question Answering Forums—0
Embedded Semantic Lexicon Induction with Joint Global and Local Optimization—0
Evaluating Natural Language Understanding Services for Conversational Question Answering SystemsCode0
NLM\_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering—0
ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task—0
Mining Social Science Publications for Survey Variables—0
Query expansion techniques for information retrieval: A survey—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
Evaluating Feature Extraction Methods for Knowledge-based Biomedical Word Sense Disambiguation—0
Acquiring Predicate Paraphrases from News Tweets—0
EICA Team at SemEval-2017 Task 3: Semantic and Metadata-based Features for Community Question Answering—0
Towards Harnessing Memory Networks for Coreference Resolution—0
Spectral Graph-Based Method of Multimodal Word Embedding—0
UParse: the Edinburgh system for the CoNLL 2017 UD shared task—0
Seq2seq for Morphological Reinflection: When Deep Learning Fails—0
The Rich Event Ontology—0
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation—0
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B—0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
UPC-USMBA at SemEval-2017 Task 3: Combining multiple approaches for CQA for Arabic—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification—0
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection—0
SimBow at SemEval-2017 Task 3: Soft-Cosine Semantic Similarity between Questions for Community Question Answering—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
Sentence Alignment using Unfolding Recursive Autoencoders—0
SwissAlps at SemEval-2017 Task 3: Attention-based Convolutional Neural Network for Community Question AnsweringCode0
UINSUSKA-TiTech at SemEval-2017 Task 3: Exploiting Word Importance Levels for Similarity Features for CQA—0
Ways of Asking and Replying in Duplicate Question Detection—0
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA—0
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension—0
Question Dependent Recurrent Entity Network for Question AnsweringCode0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
MatchZoo: A Toolkit for Deep Text MatchingCode0
Adversarial Examples for Evaluating Reading Comprehension SystemsCode0
Improved Bilinear Pooling with CNNs—0
Large-Scale Goodness Polarity Lexicons for Community Question Answering—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
Visual Question Answering with Memory-Augmented Networks—0
Evaluating Semantic Parsing against a Simple Web-based Question Answering ModelCode0
Quasar: Datasets for Question Answering by Search and ReadingCode0
Effective Approaches to Batch Parallelization for Dynamic Neural Network ArchitecturesCode0
Long-Term Memory Networks for Question Answering—0
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
DeepStory: Video Story QA by Deep Embedded Memory Networks—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