A comprehensive survey on word representation models: From classical to state-of-the-art word representation language models
Word representation has always been an important research area in the history of natural
language processing (NLP). Understanding such complex text data is imperative, given that …
language processing (NLP). Understanding such complex text data is imperative, given that …
[HTML][HTML] A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art
Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
capabilities, such as categorisation, memory, decision-making and reasoning. For this …
Intrinsic bias metrics do not correlate with application bias
Natural Language Processing (NLP) systems learn harmful societal biases that cause them
to amplify inequality as they are deployed in more and more situations. To guide efforts at …
to amplify inequality as they are deployed in more and more situations. To guide efforts at …
Cross-lingual transfer learning for multilingual task oriented dialog
One of the first steps in the utterance interpretation pipeline of many task-oriented
conversational AI systems is to identify user intents and the corresponding slots. Since data …
conversational AI systems is to identify user intents and the corresponding slots. Since data …
Learning general purpose distributed sentence representations via large scale multi-task learning
A lot of the recent success in natural language processing (NLP) has been driven by
distributed vector representations of words trained on large amounts of text in an …
distributed vector representations of words trained on large amounts of text in an …
From word to sense embeddings: A survey on vector representations of meaning
Over the past years, distributed semantic representations have proved to be effective and
flexible keepers of prior knowledge to be integrated into downstream applications. This …
flexible keepers of prior knowledge to be integrated into downstream applications. This …