tailieunhanh - Báo cáo khoa học: "On Learning Subtypes of the Part-Whole Relation: Do Not Mix your Seeds"

An important relation in information extraction is the part-whole relation. Ontological studies mention several types of this relation. In this paper, we show that the traditional practice of initializing minimally-supervised algorithms with a single set that mixes seeds of different types fails to capture the wide variety of part-whole patterns and tuples. The results obtained with mixed seeds ultimately converge to one of the part-whole relation types. We also demonstrate that all the different types of part-whole relations can still be discovered, regardless of the type characterized by the initializing seeds. We performed our experiments with a state-ofthe-art information. | On Learning Subtypes of the Part-Whole Relation Do Not Mix your Seeds Ashwin Ittoo University of Groningen Groningen The Netherlands Gosse Bouma University of Groningen Groningen The Netherlands Abstract An important relation in information extraction is the part-whole relation. Ontological studies mention several types of this relation. In this paper we show that the traditional practice of initializing minimally-supervised algorithms with a single set that mixes seeds of different types fails to capture the wide variety of part-whole patterns and tuples. The results obtained with mixed seeds ultimately converge to one of the part-whole relation types. We also demonstrate that all the different types of part-whole relations can still be discovered regardless of the type characterized by the initializing seeds. We performed our experiments with a state-of-the-art information extraction algorithm. 1 Introduction A fundamental semantic relation in many disciplines such as linguistics cognitive science and conceptual modelling is the part-whole relation which exists between parts and the wholes they compise Winston et al. 1987 Gerstl and Pribbenow 1995 . Different types of part-whole relations classified in various taxonomies are mentioned in literature Winston et al. 1987 Odell 1994 Gerstl and Pribbenow 1995 Keet and Artale 2008 . The taxonomy of Keet and Artale 2008 for instance distinguishes part-whole relations based on their transitivity and on the semantic classes of entities they sub-categorize. Part-whole relations are also crucial for many information extraction IE tasks Girju et al. 2006 . Annotated corpora and semantic dictionaries used in IE such as the ACE corpus1 and WordNet Fell-baum 1998 include examples of part-whole relations. Also previous relation extraction work 1http ace such as Berland and Charniak 1999 and Girju et al. 2006 have specifically targeted the discovery of part-whole relations .