14 citations · 27 across the 4 of their papers we have counts for
9 papers
Semi-supervised Learning for Word Sense Disambiguation
Darío Garigliotti
This work is a study of the impact of multiple aspects in a classic unsupervised word sense disambiguation algorithm. We identify relevant factors in a decision rule algorithm, inc…
Unsupervised Context Retrieval for Long-tail Entities
Darío Garigliotti, Dyaa Albakour, Miguel Martinez +1
Monitoring entities in media streams often relies on rich entity representations, like structured information available in a knowledge base (KB). For long-tail entities, such monit…
NeuType: A Simple and Effective Neural Network Approach for Predicting Missing Entity Type Information in Knowledge Bases
Jon Arne Bø Hovda, Darío Garigliotti, Krisztian Balog
Knowledge bases store information about the semantic types of entities, which can be utilized in a range of information access tasks. This information, however, is often incomplete…
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents
Darío Garigliotti, Krisztian Balog
We address the problem of constructing a knowledge base of entity-oriented search intents. Search intents are defined on the level of entity types, each comprising of a high-level…
Towards an Understanding of Entity-Oriented Search Intents
Darío Garigliotti, Krisztian Balog
Entity-oriented search deals with a wide variety of information needs, from displaying direct answers to interacting with services. In this work, we aim to understand what are prom…
Generating High-Quality Query Suggestion Candidates for Task-Based Search
Heng Ding, Shuo Zhang, Darío Garigliotti +1
We address the task of generating query suggestions for task-based search. The current state of the art relies heavily on suggestions provided by a major search engine. In this pap…