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Found 8 papers, 0 papers with code
Semi-supervised Learning for Word Sense Disambiguation
This work is a study of the impact of multiple aspects in a classic unsupervised word sense disambiguation algorithm.
Unsupervised Context Retrieval for Long-tail Entities
Monitoring entities in media streams often relies on rich entity representations, like structured information available in a knowledge base (KB).
NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases
Knowledge bases store information about the semantic types of entities, which can be utilized in a range of information access tasks.
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents
We address the problem of constructing a knowledge base of entity-oriented search intents.
Generating High-Quality Query Suggestion Candidates for Task-Based Search
We address the task of generating query suggestions for task-based search.
Towards an Understanding of Entity-Oriented Search Intents
Entity-oriented search deals with a wide variety of information needs, from displaying direct answers to interacting with services.
On Type-Aware Entity Retrieval
Today, the practice of returning entities from a knowledge base in response to search queries has become widespread.
Generating Query Suggestions to Support Task-Based Search
We address the problem of generating query suggestions to support users in completing their underlying tasks (which motivated them to search in the first place).
