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

Showing 88018850 of 10817 papers

TitleStatusHype
Computing Word Classes Using Spectral Clustering0
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference0
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question AnsweringCode0
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service0
Learning to Represent Bilingual DictionariesCode0
Question-Guided Hybrid Convolution for Visual Question Answering0
Learning to Focus when Ranking Answers0
ODSQA: Open-domain Spoken Question Answering DatasetCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
Visual Reasoning with Multi-hop Feature ModulationCode0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs0
WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of TextsCode0
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class ImbalanceCode0
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine0
Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text0
Semi-Supervised Disfluency Detection0
The APVA-TURBO Approach To Question Answering in Knowledge Base0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction0
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases0
Frame Semantics across Languages: Towards a Multilingual FrameNet0
Deep Bayesian Learning and Understanding0
LCQMC:A Large-scale Chinese Question Matching Corpus0
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network0
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge0
Integrating Question Classification and Deep Learning for improved Answer Selection0
A Review on Deep Learning Techniques Applied to Answer Selection0
A Neural Question Answering Model Based on Semi-Structured Tables0
AMR Beyond the Sentence: the Multi-sentence AMR corpus0
Learning to Generate Word Representations using Subword Information0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?0
NIPS Conversational Intelligence Challenge 2017 Winner System: Skill-based Conversational Agent with Supervised Dialog ManagerCode0
Practical Parsing for Downstream Applications0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension0
Cooperative Denoising for Distantly Supervised Relation Extraction0
Open-Domain Event Detection using Distant SupervisionCode0
Extractive Headline Generation Based on Learning to Rank for Community Question Answering0
Adversarial Multi-lingual Neural Relation ExtractionCode0
A review of Spanish corpora annotated with negationCode0
Adversarial Feature Adaptation for Cross-lingual Relation ClassificationCode0
Joint Modeling of Structure Identification and Nuclearity Recognition in Macro Chinese Discourse Treebank0
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory0
Attributed and Predictive Entity Embedding for Fine-Grained Entity Typing in Knowledge BasesCode0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators0
Employing Text Matching Network to Recognise Nuclearity in Chinese Discourse0
Exploiting Structure in Representation of Named Entities using Active Learning0
Adopting the Word-Pair-Dependency-Triplets with Individual Comparison for Natural Language Inference0
They Exist! Introducing Plural Mentions to Coreference Resolution and Entity LinkingCode0
Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified