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MAGNeto: An Efficient Deep Learning Method for the Extractive Tags Summarization Problem
HieuTrongPhung, AnhTuanVu, TungDinhNguyen....
Published date-11/09/2020
DataAugmentation, ExtractiveTagsSummarization, Self-SupervisedLearning, UnsupervisedPre-training
In this work, we study a new image annotation task named Extractive Tags Summarization (ETS). The goal is to extract important tags from the context lying in an image and …
End-to-end Lane Shape Prediction with Transformers
RuijinLiu, Zejianyuan, TieLiu....
Published date-11/09/2020
AutonomousVehicles, LaneDetection
Lane detection, the process of identifying lane markings as approximated curves, is widely used for lane departure warning and adaptive cruise control in autonomous vehicles. The popular pipeline that solves …
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
PoojaGupta, JyotiMaggu, AngshulMajumdar....
Published date-11/09/2020
TimeSeries, TimeSeriesAnalysis
This work addresses the problem of analyzing multi-channel time series data %. In this paper, we by proposing an unsupervised fusion framework based on %the recently proposed convolutional transform learning. …
Character-level Representations Improve DRS-based Semantic Parsing Even in the Age of BERT
RikvanNoord, AntonioToral, JohanBos....
Published date-11/09/2020
LanguageModelling, SemanticParsing
We combine character-level and contextual language model representations to improve performance on Discourse Representation Structure parsing. Character representations can easily be added in a sequence-to-sequence model in either one encoder …
VisBERT: Hidden-State Visualizations for Transformers
BettyvanAken, BenjaminWinter, AlexanderLöser....
Published date-11/09/2020
QuestionAnswering
Explainability and interpretability are two important concepts, the absence of which can and should impede the application of well-performing neural networks to real-world problems. At the same time, they are …
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL
YuntaoLi, BeiChen, QianLiu....
Published date-11/09/2020
Text-To-Sql
In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in this area has been made recently, …