Abstract
One of the most desired information types when planning a trip to some place is the knowledge of transport, roads and geographical connectedness of prominent sites in this place. While some transport companies or repositories make some of this information accessible, it is not easy to find, and the majority of information about uncommon places can only be found in web free text such as blogs and forums. In this paper we present an algorithmic framework which allows an automated acquisition of map-like information from the web, based on surface patterns like "from X to Y". Given a set of locations as initial seeds, we retrieve from the web an extended set of locations and produce a map-like network which connects these locations using transport type edges. We evaluate our framework in several settings, producing meaningful and precise connection sets.
| Original language | English |
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| Pages | 267-275 |
| Number of pages | 9 |
| State | Published - 2009 |
| Event | 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009 - Singapore, Singapore Duration: 6 Aug 2009 → 7 Aug 2009 |
Conference
| Conference | 2009 Conference on Empirical Methods in Natural Language Processing, EMNLP 2009, Held in Conjunction with ACL-IJCNLP 2009 |
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| Country/Territory | Singapore |
| City | Singapore |
| Period | 6/08/09 → 7/08/09 |
Bibliographical note
Funding Information:We thank Sevde Ceylan, Hasret el Sanhoury, Esra Soydogan, and Cansu Turgut for the annotation processes. This work was funded by the Deutsche Forschungsgemeinschaft (DFG) via SFB 732, project D2.
Funding Information:
We thank Sevde Ceylan, Hasret el Sanhoury, Esra Soydog˘an, and Cansu Turgut for the an- notation processes. This work was funded by the Deutsche Forschungsgemeinschaft (DFG) via SFB 732, project D2.