Palestras e Seminários

22/06/2017

17:00

sala de aula 4-003

Palestrante: Prof. Carlos Manuel Milheiro de Oliveira Pinto Soares (Universidade do Porto)

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Resumo: The goal of this work is the effective retrieval of entity relationships from large corpora of unstructured texts. We consider entities of any type, i.e., characterized by context terms instead of a predefined category, and retrieve entity tuples based on specified relationships. Recent approaches to ad-hoc entity retrieval have demonstrated that using Markov Random Field (MRF) Models to incorporate term dependencies can improve search performance. That suggests that MRF could be used to model dependencies between entities and facilitate relationship retrieval over unstructured texts. Thus, we create an Entity-Relationship Dependency Model (ERDM) and an index of entity and relationship context vectors that allow us to implement several retrieval methods. Experiments with a large Web collection (ClueWeb-09-B) and 267 relationship queries show that ERDM consistently outperforms several baseline methods, including the language models. The model is extensible to support complex queries with multiple entities and relationships.

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