Neural Embeddings
Related Papers
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
We consider the task of named entity recognition for Chinese social media. The long line of work in Chinese NER has fo- cused on formal domains, and NER for social …...
Automatic Labelling of Topics with Neural Embeddings
AbstractTopics generated by topic models are typically represented as list of terms. To reduce the cognitive overhead of interpreting these topics for end-users, we propose labelling a topic with a …...
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases
How can we enable computers to automat- ically answer questions like “Who created the character Harry Potter”? Carefully built knowledge bases provide rich sources of facts. However, it remains a …...
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?
AbstractWhile neural embeddings represent a popular choice for word representation in a wide variety of NLP tasks, their usage for thematic fit modeling has been limited, as they have been …...
Sequential Modelling of the Evolution of Word Representations for Semantic Change Detection
AbstractSemantic change detection concerns the task of identifying words whose meaning has changed over time. Current state-of-the-art approaches operating on neural embeddings detect the level of semantic change in a …...