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Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
DenisEmelin, IvanTitov, RicoSennrich....
Published date-11/03/2020
AdversarialAttack, MachineTranslation, WordSenseDisambiguation
Word sense disambiguation is a well-known source of translation errors in NMT. We posit that some of the incorrect disambiguation choices are due to models' over-reliance on dataset artifacts found …
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
WayneXinZhao, ShanleiMu, YupengHou....
Published date-11/03/2020
RecommendationSystems
In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to neural network algorithms. However, the concerns about how to standardize …
SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation
XutaiMa, JuanPino, PhilippKoehn....
Published date-11/03/2020
Simultaneous text translation and end-to-end speech translation have recently made great progress but little work has combined these tasks together. We investigate how to adapt simultaneous text translation methods such …
MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
AshishKumar, KaranSehgal, PrernaGarg....
Published date-11/03/2020
ImageClassification
Deep convolutional networks have been quite successful at various image classification tasks. The current methods to explain the predictions of a pre-trained model rely on gradient information, often resulting in …
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
AndreasvanCranenburgh, CorinaKoolen....
Published date-11/03/2020
It is an open question to what extent perceptions of literary quality are derived from text-intrinsic versus social factors. While supervised models can predict literary quality ratings from textual factors …
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
YueWang, JingLi, MichaelR.Lyu....
Published date-11/03/2020
Social media produces large amounts of contents every day. To help users quickly capture what they need, keyphrase prediction is receiving a growing attention. Nevertheless, most prior efforts focus on …