Automated Geocoding of Textual Documents: A Survey of Current Approaches

Transactions in GIS

Volumn 21, Issue 1, 2017, Pages 3-38

  Melo, Fernando ^a   Martins, Bruno ^a  

^a INESC ID   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL SYSTEMS;

'CURRENT; DOCUMENT-BASED; GEO CODING; GEO-SPATIAL; GEOCODING SYSTEMS; LANGUAGE MODEL; PROBABILISTIC LANGUAGE; TEXT-BASED DOCUMENTS; TEXTUAL CONTENT; TEXTUAL DOCUMENTS;

MODELING LANGUAGES;

COORDINATE; GIS; SPATIAL DATA; SURVEY METHOD;

EID: 84979518892     PISSN: 13611682     EISSN: 14679671     Source Type: Journal    
DOI: 10.1111/tgis.12212     Document Type: Review

References (141)

1. Adams B and Janowicz K 2012 On the geo-indicativeness of non-georeferenced text. In Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, Dublin, Ireland
2. Adams B and McKenzie G 2013 Inferring thematic places from spatially referenced natural language descriptions. In Sui D, Alwood S, and Goodchild M (eds) Crowd-Sourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Berlin, Springer: 201-21
3. Adams B, McKenzie G, and Gahegan M 2015 Frankenplace: Interactive thematic mapping for ad hoc exploratory search. In Proceedings of the Twenty-fourth International World Wide Web Conference, Florence, Italy
4. Amitay E, Har'El N, Sivan R, and Soffer A 2004 Web-a-where: Geotagging Web content. In Proceedings of the Twenty-seventh International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, United Kingdom
5. Anastácio I, Martins B, and Calado P 2009 Classifying documents according to locational relevance. In Proceedings of the Fourteenth Portuguese Conference on Artificial Intelligence, Aveiro, Portugal
6. Anastácio I, Martins B, and Calado P 2009 A comparison of different approaches for assigning geographic scopes to documents. In Proceedings of the Portuguese National Symposium on Informatics, Aveiro, Portugal.
7. Antelman E and Cleary M 2015 GeoParser: Geospatial relation interpretation and reasoning. In Proceedings of the Fourteenth International Semantic Web Conference, Bethlehem, Pennsylvania
8. Awamura T, Kawahara D, Aramaki E, Shibata T, and Kurohashi S 2015 Location name disambiguation exploiting spatial proximity and temporal consistency. In Proceedings of the Third International Workshop on Natural Language Processing for Social Media, Denver, Colorado
9. Backstrom L, Kleinberg J, Kumar R, and Novak J 2008 Spatial variation in search engine queries. In Proceeding of the Seventeenth International Conference on World Wide Web, Beijing, China
10. Bamman D, Dyer C, and Smith N A 2014 Distributed representations of geographically situated language. In Proceedings of the Fifty-second Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland
11. Bekele M K 2014 Spatial Tracing of Historic Expedition: From Text to Trajectory. Unpublished MS Thesis, University of Twente
12. Bengio Y 2012 Practical recommendations for gradient-based training of deep architectures. In Montavon G, Orr G B, and Müller K-R (eds) Neural Networks: Tricks of the Trade. Berlin, Springer Lecture Notes in Computer Science Vol. 7700: 437–78
13. Bentley J L 1975 Multidimensional binary search trees used for associative searching. Communications of the ACM 18: 509-17
14. Berger A L, Pietra V J D, and Pietra S A D 1996 A maximum entropy approach to natural language processing. Computational Linguistics 22: 39–71
15. Bizer C, Lehmann J, Kobilarov G, Auer S, Becker C, Cyganiak R, and Hellmann S 2009 DBpedia: A crystallization point for the Web of data. Web Semantics 7: 154–65
16. Blanco R and Lioma C 2012 Graph-based term weighting for information retrieval. Information Retrieval 15: 54–92
17. Blei D M, Ng A Y, and Jordan M I 2003 Latent Dirichlet allocation. Journal of Machine Learning Research 3: 993–1022
18. Bodenhamer D J, Corrigan J, and Harris T M (eds) 2010 The Spatial Humanities: GIS and the Future of Humanities Scholarship. Indianapolis, IN, Indiana University Press
19. Bolettieri P, Esuli A, Falchi F, Lucchese C, Perego R, Piccioli T, and Rabitti F 2009 CoPhIR: A test collection for content-based image retrieval. CoRR, abs/0905.4627v2
20. Borin L, Dannélls D, and Olsson L-J 2014 Geographic visualization of place names in Swedish literary texts. Literary and Linguistic Computing 29: 400–04
21. Brunsdon C 1995 Estimating probability surfaces for geographical point data: An adaptive kernel algorithm. Computers and Geosciences 21: 877–94
22. Büttcher S, Clarke C L A, and Lushman B 2006 Term proximity scoring for ad-hoc retrieval on very large text collections. In Proceedings of the Twenty-ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington
23. Carlos H A, Shi X, Sargent J, Susanne T, and Berke E M 2010 Density estimation and adaptive bandwidths: A primer for public health practitioners. International Journal of Health Geographics 9: 39
24. Carpenter B 2005 Scaling high-order character language models to gigabytes. In Proceedings of the ACL Workshop on Software, New York, New York
25. Chambers J K 1998 Dialectology. Cambridge, UK, Cambridge University Press
26. Chaves M, Silva M J, and Martins B 2005 GKB: Geographic Knowledge Base. Lisbon, Portugal, Faculty of Sciences of the University of Lisbon Technical Report No. 05-12
27. Chen S F and Goodman J 1998 An Empirical Study of Smoothing Techniques for Language Modeling. Cambridge, MA, Harvard University Technical Report No. 10-98
28. Cheng Z, Caverlee J, and Lee K 2010 You are where you tweet: A content-based approach to geo-locating Twitter users. In Proceedings of the Twenty-second ACM International Conference on Information and Knowledge Management, Toronto, Ontario
29. Cheng Z, Caverlee J, and Lee K 2013 A content-driven framework for geolocating microblog users. ACM Transactions on Intelligent Systems and Technology 2: 1–2
30. Cucerzan S 2007 Large-scale named entity disambiguation based on Wikipedia data. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing, Prague, Czech Republic
31. Cummins R, Paik J H, and Lv Y 2015 A Pólya urn document language model for improved information retrieval. ACM Transactions on Information Systems 33(4): 21
32. DeLozier G, Baldridge J, and London L 2015 Gazetteer-independent toponym resolution using geographic word profiles. In Proceedings of the Twenty-ninth AAAI Conference on Artificial Intelligence. Austin, Texas
33. Dias D, Anastácio I, and Martins B 2012 Geocodificação de documentos textuais com classificadores hierárquicos baseados em modelos de linguagem. Linguamática 4(2): 13–25
34. Eisenstein J 2015 Written dialect variation in online social media. In Boberg C, Nerbonne J, and Watt D (eds) Handbook of Dialectology. New York, John Wiley and Sons: forthcoming
35. Eisenstein J, O'Connor B, Smith N A, and Xing E P 2014 Diffusion of lexical change in social media. PLOS ONE 9: e113114
36. Eisenstein J, O'Connor B, Smith N A, and Xing E P 2010 A latent variable model for geographic lexical variation. In Proceedings of the Conference on Empirical Methods on Natural Language Processing, Cambridge, Massachusetts
37. Faruqui M and Dyer C 2014 Improving vector space word representations using multilingual correlation. In Proceedings of the Fourteenth Conference of the European Chapter of the Association for Computational Linguistics, Gothenburg, Sweden
38. Flatow D, Naaman M, Xie K E, Volkovich Y, and Kanza Y 2015 On the accuracy of hyper-local geotagging of social media content. In Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, Shanghai, China
39. Gelernter J and Balaji S 2013 An algorithm for local geoparsing of microtext. Geoinformatica 17: 635–67
40. Gelernter J and Mushegian N 2011 Geo-parsing messages from microtext. Transactions in GIS 15: 753–73
41. Glorot X, Bordes A, and Bengio Y 2011 Domain adaptation for large-scale sentiment classification: A deep learning approach. In Proceedings of the Thirtieth International Conference on Machine Learning, Atlanta, Georgia
42. Goldberg D W 2008 A Geocoding Best Practices Guide. Springfield, MO, North American Association of Central Cancer Registries
43. Goldberg D W, Wilson J P, and Knoblock C A 2007 From text to geographic coordinates: The current state of geocoding. Journal of the Urban and Regional Information Systems Association, 19(1): 33–46
44. Gonçalves B and Sánchez D 2015 Crowdsourcing dialect characterization through Twitter. PLOS ONE 9: e112074
45. Good I J 1953 The population frequencies of species and the estimation of population parameters. Biometrika 40: 237–64
46. Goodchild M F and Hill L L 2008 Introduction to digital gazetteer research. International Journal of Geographical Information Science 22: 1039–44
47. Gregory I N, Donaldson C, Murrieta-Flores P, and Rayson P 2015 Geoparsing, GIS, and textual analysis: Current developments in spatial humanities research. International Journal of Humanities and Arts Computing 9: 1–14
48. Gregory I N and Geddes A (eds) 2014 Towards Spatial Humanities: Historical GIS and Spatial History. Indianapolis, IN, Indiana University Press
49. Gregory I N and Hardie A 2011 Visual GISting: Bringing together corpus linguistics and geographical information systems. Literary and Linguistic Computing 26: 297–314
50. Grover C, Tobin R, Byrne K, Woollard M, Reid J, Dunn S, and Ball J 2010 Use of the Edinburgh geoparser for georeferencing digitised historical collections. Philosophical Transactions of the Royal Society A 368: 3875–89
51. Gupta A, Boleda G, Baroni M, and Padó S 2015 Distributional vectors encode referential attributes. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal
52. Górski K M, Hivon E, Banday A J, Wandelt B D, Hansen F K, Reinecke M, and Bartelmann M 2005 HEALPIX: A framework for high resolution discretization, and fast analysis of data distributed on the sphere. Astrophysical Journal 622: 759–71
53. Han B, Cook P, and Baldwin T 2014 Text-based Twitter user geolocation prediction. Journal of Artificial Intelligence Research 49: 451–500
54. Hare J, Davies J, Samangooei S, and Lewis P 2014 Placing photos with a multimodal probability density function. In Proceedings of International Conference on Multimedia Retrieval, Glasgow, United Kingdom
55. Hill L L 2000 Core elements of digital gazetteers: Placenames, categories, and footprints. In Proceedings of the Fourth European Conference on Research and Advanced Technology for Digital Libraries, Lisbon, Portugal
56. Hill L L 2006 Georeferencing: The Geographic Associations of Information. Cambridge, MA, MIT Press
57. Hill L L, Frew J, and Zheng Q 1999 Geographic names: The implementation of a gazetteer in a georeferenced digital library. D-Lib Magazine 5(1): 1
58. Hoffart J, Suchanek F M, Berberich K, and Weikum G 2013 YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence 194: 28–61
59. Hoffart J, Yosef M A, Bordino I, Fürstenau H, Pinkal M, Spaniol M, Taneva B, Thater S, and Weikum G 2011 Robust disambiguation of named entities in text. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Edinburgh, United Kingdom
60. Hollenstein L and Purves R 2010 Exploring place through user-generated content: Using Flickr tags to describe city cores. Journal of Spatial Information Science 1: 21–48
61. Huang Y, Guo D, Kasakoff A, and Grieve J 2016 Understanding U.S. regional linguistic variation with Twitter data analysis. Computers, Environment and Urban Systems 54: in press
62. Inkpen D, Liu J, Farzindar A, Kazemi F, and Ghazi D 2015 Location detection and disambiguation from Twitter messages. In Proceedings of the Sixteenth International Conference on Intelligent Text Processing and Computational Linguistics, Cairo, Egypt
63. Islam M T, Workman S, and Jacobs N 2015 Face2GPS: Estimating geographic location from facial features. In Proceedings of the International Conference on Image Processing, Québec City, Québec
64. Jacobs N, Miskell K, and Pless R 2011 Webcam geo-localization using aggregate light levels. In Proceedings of the IEEE Workshop on Applications of Computer Vision, Kona, Hawaii
65. Jenness J 2008 Calculating areas and centroids on the sphere. In Proceedings of the Annual Esri International User Conference, San Diego, California
66. Jiang Z, Shekhar S, Mohan P, Knight J, and Corcoran J 2012 Learning spatial decision tree for geographical classification: A summary of results. In Proceedings of the Twentieth International ACM SIGSPATIAL Conference on Advances in Geographic Information Systems, Redondo Beach, California
67. Kaufman L and Rousseeuw P 1987 Clustering by means of medoids. In Dodge Y (ed) Statistical Data Analysis Based on the L1-Norm and Related Methods. Amsterdam, the Netherlands, North-Holland: 405–16
68. Khan A, Vasardani M, and Winter S 2013 Extracting spatial information from place descriptions. In Proceedings of the First ACM SIGSPATIAL International Workshop on Computational Models of Place, Orlando, Florida
69. Kling C C, Kunegis J, Sizov S, and Staab S 2014 Detecting non-Gaussian geographical topics in tagged photo collections. In Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, New York, New York
70. Kordjamshidi P, Bethard S, and Moens M-F 2013 SemEval-2013 task 3: Spatial role labeling. In Proceedings of the Seventh International Workshop on Semantic Evaluation, Atlanta, Georgia
71. Kordjamshidi P, Van Otterlo M, and Moens M-F 2011 Spatial role labeling: Towards extraction of spatial relations from natural language. ACM Transactions on Speech and Language Processing 8(3): 4
72. Kulis B 2013 Metric learning: A survey. Foundations and Trends in Machine Learning 5: 287–364
73. Lan M, Tan C L, Su J, and Lu Y 2009 Supervised and traditional term weighting methods for automatic text categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence 31: 721–35
74. Le Q and Mikolov T 2014 Distributed representations of sentences and documents. In Proceedings of the Thirty-first International Conference on Machine Learning, Beijing, China
75. Lebanon G, Mao Y, and Dillon J 2007 The locally weighted bag of words framework for document representation. Journal of Machine Learning Research 8: 2405–41
76. Lehmann J, Isele R, Jakob M, Jentzsch A, Kontokostas D, Mendes P, Hellmann S, Morsey M, van Kleef P, Auer S, and Bizer C 2015 DBpedia: A large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web Journal 6: 167–95
77. Lertnattee V and Leuviphan C 2012 Using class frequency for improving centroid-based text classification. ACEEE International Journal on Information Technology 2(2): 62–6
78. Li L T, Pedronette D C, Almeida J, Penatti O A, Calumby R T, and Torres R D 2014 A rank aggregation framework for video multimodal geocoding. Multimedia Tools and Applications 73: 1323–59
79. Li X and Claramunt C 2006 A spatial entropy-based decision tree for classification of geographical information. Transactions in GIS 10: 451–67
80. Lieberman M D and Samet H 2011 Multifaceted toponym recognition for streaming news. In Proceedings of the Thirty-fourth International ACM SIGIR Conference on Research and Development in Information Retrieval, Beijing, China
81. Liu F, Vasardani M, and Baldwin T 2014 Automatic identification of locative expressions from social media text: A comparative analysis. In Proceedings of the Fourth International Workshop on Location and the Web, Shanghai, China
82. Liu J and Inkpen D 2015 Estimating user location in social media with stacked denoising auto-encoders. In Proceedings of the Workshop on Vector Space Modeling for Natural Language Processing, Denver, Colorado
83. Liu Y, Liu Z, Chua T-S, and Sun M 2015 Topical word embeddings. In Proccedings of the Twenty-ninth AAAI Conference on Artificial Intelligence, Austin, Texas
84. McCallum A and Nigam K 1998 A comparison of event models for näıve Bayes text classification. In Proceedings of the AAAI Workshop on Learning for Text Categorization, Madison, Wisconsin
85. Mehler A, Bao Y, Li X, Wang Y, and Skiena S 2006 Spatial analysis of news sources. IEEE Transactions on Visualization and Computer Graphics 12: 765–72
86. Melo F and Martins B 2015 Geocoding text through a hierarchy of linear classifiers. In Proceedings of the Seventeenth Portuguese Conference on Artificial Intelligence, Coimbra, Portugal
87. Mendes P N, Jakob M, Garćıa-Silva A, and Bizer C 2011 DBpedia Spotlight: Shedding light on the Web of documents. In Proceedings of the Seventh International Conference on Semantic Systems, Graz, Austria
88. Mikolov T, Chen K, Corrado G, and Dean J 2013 Efficient estimation of word representations in vector space. In Proceedings of the Workshop at the International Conference on Learning Representations, Scottsdale, Arizona
89. Moncla L, Gaio M, Nogueras-Iso J, and Mustière S 2016 Reconstruction of itineraries from annotated text with an informed spanning tree algorithm. International Journal of Geographical Information Science 30: in press
90. Moncla L, Renteria-Agualimpia W, Nogueras-Iso J, and Gaio M 2014 Geocoding for texts with fine-grain toponyms: An experiment on a geoparsed hiking descriptions corpus. In Proceedings of the Twenty-second ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas, Texas
91. Murdock V 2014 Dynamic location models. In Proceedings of the Thirty-seventh International ACM SIGIR Conference on Research and Development in Information Retrieval, Broadbeach, Queensland
92. Ng A Y and Jordan M I 2002 On discriminative vs. generative classifiers: A comparison of logistic regression and näıve Bayes. In Proceedings of the Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia
93. Nguyen D, Dŏgrüoz A S, Rosé C P, and de Jong F 2015 Computational sociolinguistics: A survey. CoRR, abs/1508.07544
94. O'Hare N and Murdock V 2013 Modeling locations with social media. Journal of Information Retrieval 16: 30–62
95. O'Mullane W, Banday A J, Gorski K, Kunszt P Z, and Szalay A S 2000 Splitting the sky: HTM and HEALPix. In Proceedings of the MPA/ESO/MPE Joint Astronomy Conference, Munich, Germany
96. Pavalanathan U and Eisenstein J 2015 Confounds and consequences in geotagged Twitter data. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal
97. Peng F, Schuurmans D, and Wang S 2003 Language and task independent text categorization with simple language models. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, Stroudsburg, Pennsylvania
98. Ponte J M and Croft W B 1998 A language modeling approach to information retrieval. In Proceedings of the Twenty-first Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, Australia
99. Purves R and Jones C 2011 Geographic information retrieval. SIGSPATIAL Special 3(2): 2–4
100. Qin T, Xiao R, Fang L, Xie X, and Zhang L 2010 An efficient location extraction algorithm by leveraging Web contextual information. In Proceedings of the Eighteenth ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, San Jose, California
101. Quinlan J R 1993 C4.5: Programs for Machine Learning. San Francisco, CA, Morgan Kaufmann
102. Rahimi A, Cohn T, and Baldwin T 2015 Twitter user geolocation using a unified text and network prediction model. In Proceedings of the Annual Meeting of the Association for Computational Linguistics, Beijing, China
103. Raina R, Shen Y, Ng A Y, and McCallum A 2004 Classification with hybrid generative/discriminative models. In Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia
104. Recchia G and Louwerse M 2014 Grounding the ungrounded: Estimating locations of unknown place names from linguistic associations and grounded representations. In Proceedings of the Thirty-sixth Annual Meeting of the Cognitive Science Society, Québec City, Québec
105. Rifkin R and Klautau A 2004 In defense of one-vs-all classification. Journal of Machine Learning Research 5: 101–41
106. Roberts K, Bejan C A, and Harabagiu S 2010 Toponym disambiguation using events. In Proceedings of the Twenty-third International Florida Artificial Intelligence Research Society Conference, Daytona Beach, Florida
107. Roller S, Speriosu M, Rallapalli S, Wing B, and Baldridge J 2012 Supervised text-based geolocation using language models on an adaptive grid. In Proceedings of the Fiftieth Conference on Empirical Methods on Natural Language Processing, Jeju Island, Korea
108. Rousseau F and Vazirgiannis M 2013 Graph-of-word and TW-IDF: New approach to ad hoc IR. In Proceedings of the Twenty-second ACM International Conference on Conference on Information and Knowledge Management, San Francisco, California
109. Rumelhart D E, Hinton G E, and Williams R J 1986 Learning internal representations by error propagation. In Rumelhart D E and McClelland J L (eds) Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA, MIT Press: 318–62
110. Salton G and Buckley C 1988 Term-weighting approaches in automatic text retrieval. Information Processing and Management 24: 513–23
111. Salton G, Wong A, and Yang C S 1975 A vector space model for automatic indexing. Communications of the ACM 18: 613–20
112. Santos J, Anastácio I, and Martins B 2015 Using machine learning methods for disambiguating place references in textual documents. GeoJournal 80: 375–92
113. Schockaert S 2011 Vague regions in geographic information retrieval. SIGSPATIAL Special 3(2): 24–8
114. Serdyukov P, Murdock V, and van Zwol R 2009 Placing Flickr photos on a map. In Proceedings of the Thirty-second Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Boston, Massachusetts
115. She W, Wang J, and Han J 2015 Entity linking with a knowledge base: Issues, techniques, and solutions. IEEE Transactions on Knowledge and Data Engineering 27: 443–60
116. Silla Jr C N and Freitas A A 2011 A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery 22: 31–72
117. Singhal A, Buckley C, and Mitra M 1996 Pivoted document length normalization. In Proceedings of the Nineteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Zurich, Switzerland
118. Soyer H, Stenetorp P, and Aizawa A 2015 Leveraging monolingual data for cross-lingual compositional word representations. Proceedings of the Third International Conference on Learning Representations, San Diego, California
119. Speriosu M and Baldridge J 2013 Text-driven toponym resolution using indirect supervision. In Proceedings of the Fifty-first Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria
120. Speriosu M, Brown T, Moon T, Baldridge J, and Erk K 2010 Connecting language and geography with region topic models. In Proceedings of the Third Workshop on Computational Models of Spatial Language Interpretation, Potsdam, Germany
121. Stadler C, Lehmann J, Höffner K, and Auer S 2012 LinkedGeoData: A core for a web of spatial open data. Semantic Web 3: 333–54
122. Szalay A S, Gray J, Fekete G, Kunszt P Z, Kukol P, and Thakar A 2005 Indexing the Sphere with the Hierarchical Triangular Mesh. Redmond, WA, Microsoft Research Technical Report No. 2005-123
123. Tang D, Qin B, and Liu T 2015 Document modeling with gated recurrent neural network for sentiment classification. In Proceedings of the Twentieth Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal
124. Van Laere O, Schockaert S, Tanasescu V, Dhoedt B, and Jones C B 2014 Georeferencing Wikipedia documents using data from social media sources. ACM Transactions on Information Systems 32(3): 12:01-12:32
125. Vincent P, Larochelle H, Bengio Y, and Manzagol P-A 2008 Extracting and composing robust features with denoising autoencoders. In Proceedings of the Twenty-fifth International Conference on Machine Learning, Helsinki, Finland
126. Vincenty T 1975 Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations. Survey Review 22: 88–93
127. Wallgrün J O, Klippel A, and Baldwin T 2014 Building a corpus of spatial relational expressions extracted from Web documents. In Proceedings of the Eighth ACM SIGSPATIAL Workshop on Geographic Information Retrieval, Dallas, Texas
128. Wang F and Sun J 2015 Survey on distance metric learning and dimensionality reduction in data mining. Data Mining and Knowledge Discovery 29: 534–64
129. Wang S and Manning C D 2012 Baselines and bigrams: Simple, good sentiment and topic classification. In Proceedings of the Fiftieth Annual Meeting of the Association for Computational Linguistics, Jeju Island, South Korea
130. Wing B and Baldridge J 2011 Simple supervised document geolocation with geodesic grids. In Proceedings of the Forty-ninth Annual Meeting of the Association for Computational Linguistics, Portland, Oregon
131. Wing B and Baldridge J 2014 Hierarchical discriminative classification for text-based geolocation. In Proceedings of the Nineteenth Conference on Empirical Methods in Natural Language Processing, Doha, Qatar
132. Woodruff A G and Plaunt C 1994 GIPSY: Geo-referenced information processing system. Journal of the American Society for Information Science 45: 645–55
133. Workman S, Souvenir R, and Jacobs N 2015 Wide-area image geolocalization with aerial reference imagery. In Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile
134. Xu Z and Akella R 2010 Improving probabilistic information retrieval by modeling burstiness of words. Information Processing and Management 46: 143–58
135. Yao Y, Rosasco L, and Caponnetto A 2007 On early stopping in gradient descent learning. Constructive Approximation 26: 289–315
136. Yogatama D and Smith N A 2014a Linguistic structured sparsity in text categorization. In Proceedings of the Fifty-second Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland
137. Yogatama D and Smith N A 2014b Making the most of bag of words: Sentence regularization with alternating direction method of multipliers. In Proceedings of the Thirty-first International Conference on Machine Learning, Beijing, China
138. Zhai C X and Hirst G 2008 Statistical Language Models for Information Retrieval. San Rafael, CA, Morgan and Claypool Publishers
139. Zhang W and Gelernter J 2014 Geocoding location expressions in Twitter messages: A preference learning method. Journal of Spatial Information Science 9: 37–70
140. Zhou F, Claire Q, and King R D 2014 Predicting the geographical origin of music. In Proceedings of the IEEE International Conference on Data Mining, Shenzhen, China
141. Zhu J, Ahmed A, and Xing E P 2009 MedLDA: Maximum margin supervised topic models for regression and classification. In Proceedings of the Twenty-sixth Annual International Conference on Machine Learning, Montreal, Québec