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Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information
RobinRuede, VerenaHeusser, LukasFrank....
Published date-11/02/2020
Multi-TaskLearning
A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim …
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
SahanBulathwela, MariaPerez-Ortiz, EmineYilmaz....
Published date-11/02/2020
With the emergence of e-learning and personalised education, the production and distribution of digital educational resources have boomed. Video lectures have now become one of the primary modalities to impart …
A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English
MariusMosbach, StefaniaDegaetano-Ortlieb, Marie-PaulineKrielke....
Published date-11/02/2020
Transformer-based language models achieve high performance on various tasks, but we still lack understanding of the kind of linguistic knowledge they learn and rely on. We evaluate three models (BERT, …
On the Sentence Embeddings from Pre-trained Language Models
BohanLi, HaoZhou, JunxianHe....
Published date-11/02/2020
LanguageModelling, SemanticSimilarity, SemanticTextualSimilarity, SentenceEmbedding, SentenceEmbeddings
Pre-trained contextual representations like BERT have achieved great success in natural language processing. However, the sentence embeddings from the pre-trained language models without fine-tuning have been found to poorly capture …
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
ZhongfenDeng, HaoPeng, CongyingXia....
Published date-11/02/2020
DecisionMaking
Review rating prediction of text reviews is a rapidly growing technology with a wide range of applications in natural language processing. However, most existing methods either use hand-crafted features or …
Context Dependent Semantic Parsing: A Survey
ZhuangLi, LizhenQu, GholamrezaHaffari....
Published date-11/02/2020
SemanticParsing
Semantic parsing is the task of translating natural language utterances into machine-readable meaning representations. Currently, most semantic parsing methods are not able to utilize contextual information (e.g. dialogue and comments …