{"type":"ScholarlyArticle","title":"Improving Author Coreference by Resource-Bounded Information Gathering from the Web","authors":[{"name":"Pallika H. Kanani","slug":"pallika-h-kanani","given":"Pallika H.","family":"Kanani","affiliation":"Department of Computer Science University of Massachusetts Amherst Amherst , MA 01003 USA"},{"name":"Andrew McCallum","slug":"andrew-mccallum","given":"Andrew","family":"McCallum","affiliation":"Department of Computer Science University of Massachusetts Amherst Amherst , MA 01003 USA"},{"name":"Chris Pal","slug":"chris-pal","given":"Chris","family":"Pal","affiliation":"Department of Computer Science University of Massachusetts Amherst Amherst , MA 01003 USA"}],"abstract":"Accurate entity resolution is sometimes impossible simply due to insufficient information. For example, in research paper author name resolution, even clever use of venue, title and co-authorship relations are often not enough to make a confident coreference decision. This paper presents several methods for increasing accuracy by gathering and integrating additional evidence from the web. We formulate the coreference problem as one of graph partitioning with discriminatively-trained edge weights, and then incorporate web information either as additional features or as additional nodes in the graph. Since the web is too large to incorporate all its data, we need an efficient procedure for selecting a subset of web queries and data. We formally describe the problem of resource bounded information gathering in each of these contexts, and show significant accuracy improvement with low cost.","doi":null,"url":"https://ijcai.org/proceedings/2007/67","pdf":"https://ijcai.org/proceedings/2007/0067.pdf","markdown":"https://ijcai.org/proceedings/2007/67.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/67","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":67,"pages":{"first":429,"last":433},"keywords":[],"videos":[],"references":[{"position":1,"raw":"[Bansal et al., 2002] N. Bansal, S. Chawla, and A. Blum. Correla- tion clustering. 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