14 citations · 53 across the 10 of their papers we have counts for
10 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…
Supervised Ranking of Triples for Type-Like Relations - The Cress Triple Scorer at the WSDM Cup 2017
Faegheh Hasibi, Darío Garigliotti, Shuo Zhang +1
This paper describes our participation in the Triple Scoring task of WSDM Cup 2017, which aims at ranking triples from a knowledge base for two type-like relations: profession and…
On Type-Aware Entity Retrieval
Darío Garigliotti, Krisztian Balog
Today, the practice of returning entities from a knowledge base in response to search queries has become widespread. One of the distinctive characteristics of entities is that they…
Generating Query Suggestions to Support Task-Based Search
Darío Garigliotti, Krisztian Balog
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). Given an initial q…
Target Type Identification for Entity-Bearing Queries
Darío Garigliotti, Faegheh Hasibi, Krisztian Balog
Identifying the target types of entity-bearing queries can help improve retrieval performance as well as the overall search experience. In this work, we address the problem of auto…