NewsReader: Using knowledge resources in a cross-lingual reading machine to generate more knowledge from massive streams of news

Knowledge-Based Systems

Volumn 110, Issue , 2016, Pages 60-85

  Vossen, Piek ^a   Agerri, Rodrigo ^b   Aldabe, Itziar ^b   Cybulska, Agata ^a   van Erp, Marieke ^a   Fokkens, Antske ^a   Laparra, Egoitz ^b   Minard, Anne Lyse ^c   Palmero Aprosio, Alessio ^c   Rigau, German ^b   Rospocher, Marco ^c   Segers, Roxane ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b UNIVERSITY OF THE BASQUE COUNTRY   (Spain)

^c FONDAZIONE BRUNO KESSLER   (Italy)

Author keywords

Cross lingual interopearbility; Event extraction; Knowledge resources; Natural language processing; Semantic web

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

CROSS-LINGUAL; EVENT EXTRACTION; FORMAL SEMANTICS; KNOWLEDGE RESOURCE; NATURAL LANGUAGE PROCESSING; STATE OF THE ART; STRUCTURED KNOWLEDGE; UNSTRUCTURED TEXTS;

SEMANTIC WEB;

EID: 84978884184     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2016.07.013     Document Type: Article

References (89)

1. [1] M. Rospocher, M. van Erp, P. Vossen, A. Fokkens, I. Aldabe, G. Rigau, A. Soroa, T. Ploeger, T. Bogaard, Building event-centric knowledge graphs from news, J. Web Semant. (to appear). 10.1016/j.websem.2015.12.004.
2. [2] Fokkens, A., van Erp, M., Vossen, P., Tonelli, S., van Hage, W.R., Serafini, L., Sprugnoli, R., Hoeksema, J., Gaf: A grounded annotation framework for events. Proceedings of the 1st workshop on Events: Definition, Detection, Coreference, and Representation at the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL2013), 2013, Association for Computational Linguistics, ISBN 978-1-937284-47-3. Atlanta, GA, USA.
3. [3] Fokkens, A., Soroa, A., Beloki, Z., Ockeloen, N., Rigau, G., van Hage, W.R., Vossen, P., NAF and GAF: Linking linguistic annotations. Proceedings 10th Joint ISO-ACL SIGSEM Workshop on Interoperable Semantic Annotation, Reykjavik, Iceland, 2014, 9 URL http://sigsem.uvt.nl/isa10/ISA-10_proceedings.pdf.
4. [4] van Hage, W.R., Malaisé, V., Segers, R., Hollink, L., Schreiber, G., Design and use of the Simple Event Model (SEM). J. Web Sem. 9:2 (2011), 128-136.
5. [5] Moreau, L., Missier, P., Belhajjame, K., B'Far, R., Cheney, J., Coppens, S., Cresswell, S., Gil, Y., Groth, P., Klyne, G., Lebo, T., McCusker, J., Miles, S., Myers, J., Sahoo, S., Tilmes, C., PROV-DM: The PROV Data Model. Technical Report, 2012 URL http://www.w3.org/TR/prov-dm/.
6. [6] Shen, D., Lapata, M., Using semantic roles to improve question answering. EMNLP-CoNLL, 2007, 12-21.
7. [7] Hirst, G., Budanitsky, A., Correcting real-word spelling errors by restoring lexical cohesion. Nat. Lang. Eng. 11:01 (2005), 87-111.
8. [8] Grishman, R., Sundheim, B., Message understanding conference-6: a brief history. COLING, 96, 1996, 466-471.
9. [9] Padró, L., Željko Agić, Carreras, X., Fortuna, B., García-Cuesta, E., Li, Z., Štajner, T., Tadić, M., Language processing infrastructure in the xlike project. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC2014), 2014.
10. [10] Patwardhan, S., Riloff, E., A unified model of phrasal and sentential evidence for information extraction. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1, 2009, Association for Computational Linguistics, 151-160.
11. [11] Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Jr., E.H., Mitchell, T., Toward an architecture for never-ending language learning. Proceedings of the Conference on Artificial Intelligence (AAAI), 2010, AAAI Press, 1306-1313.
12. [12] Leidner, J.L., Sinclair, G., Webber, B., Grounding spatial named entities for information extraction and question answering. Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references-Volume 1, 2003, Association for Computational Linguistics, 31-38.
13. [13] Mihalcea, R., Csomai, A., Wikify!: linking documents to encyclopedic knowledge. Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007, ACM, 233-242.
14. [14] Milne, D., Witten, I.H., Learning to link with wikipedia. Proceedings of the 17th ACM conference on Information and knowledge management, 2008, ACM, 509-518.
15. [15] Rizzo, G., Troncy, R., Nerd: a framework for unifying named entity recognition and disambiguation extraction tools. Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, 2012, Association for Computational Linguistics, 73-76.
16. [16] Mendes, P.N., Jakob, M., García-Silva, A., Bizer, C., Dbpedia spotlight: shedding light on the web of documents. Proceedings of the 7th International Conference on Semantic Systems, 2011, ACM, 1-8.
17. [17] Sil, A., Yates, A., Re-ranking for joint named-entity recognition and linking. Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, 2013, ACM, 2369-2374.
18. [18] Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z., Dbpedia: A nucleus for a web of open data. The Semantic Web, 2007, 722-735.
19. [19] Vossen, P., Ilievski, F., Fokkens, A., Caselli, T., Cybulska, A., Minard, A.-L., Mirza, P., Aldabe, I., Laparra, E., Rigau, G., Deliverable D5.1.3: Event Narrative Module, version 3. Technical Report, 2015, NewsReader Project.
20. [20] C. Fellbaum (Ed.), WordNet. An Electronic Lexical Database, in: The MIT Press, 1998.
21. [21] Kingsbury, P., Palmer, M., From treebank to propbank. LREC, 2002, Citeseer.
22. [22] Marcus, M.P., Marcinkiewicz, M.A., Santorini, B., Building a large annotated corpus of english: the penn treebank. Comput. Ling. 19:2 (1993), 313-330.
23. [23] Meyers, A., Reeves, R., Macleod, C., Szekely, R., Zielinska, V., Young, B., Grishman, R., The nombank project: An interim report. HLT-NAACL 2004 workshop: Frontiers in corpus annotation, 2004, 24-31.
24. [24] Baker, C.F., Fillmore, C.J., Lowe, J.B., The berkeley framenet project. Proceedings of the 17th international conference on Computational linguistics-Volume 1, 1998, Association for Computational Linguistics, 86-90.
25. [25] Schuler, K.K., VerbNet: A broad-coverage, comprehensive verb lexicon, 2005, Ph.D. thesis University of Pennsylvania.
26. [26] Taulé, M., Martí, M.A., Recasens, M., Ancora: multilevel annotated corpora for catalan and spanish. LREC, 2008.
27. [27] Niles, I., Pease, A., Towards a standard upper ontology. Proceedings of the international conference on Formal Ontology in Information Systems-Volume 2001, 2001, ACM, 2-9.
28. [28] Segers, R., Vossen, P., Rospocher, M., Serafini, L., Laparra, E., Rigau, G., Eso: A frame based ontology for events and implied situations. Proceedings of MAPLEX 2015, Yamagata, Japan, 2015.
29. [29] López de Lacalle, M., Laparra, E., Rigau, G., Predicate matrix: extending semlink through wordnet mappings. The 9th edition of the Language Resources and Evaluation Conference. Reykjavik, Iceland, 2014.
30. [30] Palmer, M., Semlink: Linking propbank, verbnet and framenet. Proceedings of the Generative Lexicon Conference, 2009, 9-15.
31. [31] Gonzalez-Agirre, A., Laparra, E., Rigau, G., Multilingual central repository version 3.0. LREC, 2012, 2525-2529.
32. [32] Alvez, J., Atserias, J., Carrera, J., Climent, S., Laparra, E., Oliver, A., Rigau, G., Complete and consistent annotation of wordnet using the top concept ontology. LREC, 2008.
33. [33] Bentivogli, L., Forner, P., Magnini, B., Pianta, E., Revising wordnet domains hierarchy: Semantics, coverage, and balancing. Proceedings of COLING 2004 Workshop on Multilingual Linguistic Resources, 2004, 101-108.
34. [34] Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S., Dbpedia-a crystallization point for the web of data. Web Semant. 7:3 (2009), 154-165.
35. [35] Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J., Freebase: a collaboratively created graph database for structuring human knowledge. Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008, ACM, 1247-1250.
36. [36] Suchanek, F.M., Kasneci, G., Weikum, G., Yago: a core of semantic knowledge. WWW conference, 2007, ACM Press, New York, NY, USA.
37. [37] van Erp, M., Ilievski, F., Rospocher, M., Vossen, P., Missing mr. brown and buying an abraham lincoln ? dark entities and dbpedia. Proceedings of The NLP & DBpedia Workshop, ISWC, Bethlehem, USA, 2015.
38. [38] P. Vossen (Ed.), EuroWordNet: A Multilingual Database with Lexical Semantic Networks, in: Kluwer Academic Publishers, Norwell, MA, USA, 1998.
39. [39] Pustejovsky, J., Lee, K., Bunt, H., Romary, L., ISO-TimeML: an international standard for semantic annotation. Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC’10), 2010, European Language Resources Association (ELRA), Valletta, Malta.
40. [40] Agerri, R., Bermudez, J., Rigau, G., IXA pipeline: efficient and ready to use multilingual NLP tools. Proceedings of the 9th Language Resources and Evaluation Conference (LREC2014), Reykjavik, Iceland, 2014.
41. [41] van Noord, G., Schuurman, I., Bouma, G., Lassy Syntactische Annotatie. Technical Report, 2010, Technical Report 19455, University of Groningen.
42. [42] Pianta, E., Girardi, C., Zanoli, R., The textpro tool suite. Proceedings of LREC, 6th edition of the Language Resources and Evaluation Conference LREC-08, 2008, Association for Computational Linguistics, Stroudsburg, PA, USA.
43. [43] Agerri, R., Artola, X., Beloki, Z., Rigau, G., Soroa, A., Big data for natural language processing: A streaming approach. Knowl.-Based Syst. 79:0 (2015), 36-42 http://dx.doi.org/10.1016/j.knosys.2014.11.007 URL http://www.sciencedirect.com/science/article/pii/S0950705114003992.
44. [44] Daiber, J., Jakob, M., Hokamp, C., Mendes, P.N., Improving efficiency and accuracy in multilingual entity extraction. Proceedings of the 9th International Conference on Semantic Systems (I-Semantics), 2013.
45. [45] Björkelund, A., Bohnet, B., Hafdell, L., Nugues, P., A high-performance syntactic and semantic dependency parser. Proceedings of the 23rd International Conference on Computational Linguistics: Demonstrations COLING ’10, 2010, Association for Computational Linguistics, Stroudsburg, PA, USA, 33-36 URL http://dl.acm.org/citation.cfm?id=1944284.1944293.
46. [46] Clercq, O.D., Hoste, V., Monachesi, P., Evaluating automatic cross-domain semantic role annotation. Proceedings of the 8th International Conference on Language Resources and Evaluation Conference (LREC-2012), Istanbul, Turkey, 2012, 88-93.
47. [47] Bentivogli, L., Pianta, E., Exploiting parallel texts in the creation of multilingual semantically annotated resources: The multisemcor corpus. Nat. Lang. Eng. 11:3 (2005), 247-261, 10.1017/S1351324905003839.
48. [48] Cybulska, A., Vossen, P., Semantic relations between events and their time, locations and participants for event coreference resolution. Angelova, G., Bontcheva, K., Mitkov, R., (eds.) Proceedings of Recent Advances in Natural Language Processing (RANLP-2013), 2013, INCOMA Ltd., Hissar, Bulgaria ISSN 1313-8502.
49. [49] Mirza, P., Minard, A.-L., Hlt-fbk: a complete temporal processing system for qa tempeval. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015, Association for Computational Linguistics, Denver, Colorado, 801-805 URL http://www.aclweb.org/anthology/S15-2135.
50. [50] Mirza, P., Tonelli, S., An analysis of causality between events and its relation to temporal information. Proceedings of the 25th International Conference on Computational Linguistics (COLING2014), Dublin, Ireland, 2014.
51. [51] Strötgen, J., Zell, J., Gertz, M., Heideltime: Tuning english and developing spanish resources for tempeval-3. Proceedings of the Seventh International Workshop on Semantic Evaluation, SemEval ’13, 2013, Association for Computational Linguistics, Stroudsburg, PA, USA, 15—19.
52. [52] Sundheim, B.M., Overview of results of the muc-6 evaluation. Proceedings of a Workshop on Held at Vienna, Virginia: May 6-8, 1996 TIPSTER ’96, 1996, Association for Computational Linguistics, Stroudsburg, PA, USA, 423-442, 10.3115/1119018.1119073.
53. [53] Mirza, P., Minard, A.-L., FBK-HLT-time: a complete Italian Temporal Processing system for EVENTI-EVALITA 2014. Proceedings of the Fourth International Workshop EVALITA 2014, 2014.
54. [54] Bethard, S., A synchronous context free grammar for time normalization. Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013, Association for Computational Linguistics, Seattle, Washington, USA, 821-826 URL http://www.aclweb.org/anthology/D13-1078.
55. [55] Cybulska, A., Vossen, P., ”bag of events” approach to event coreference resolution. supervised classification of event templates. proceedings of the 16th Cicling 2015 (co-located: 1st International Arabic Computational Linguistics Conference), Cairo, Egypt, 2015.
56. [56] Leacock, C., Chodorow, M., Combining local context and WordNet similarity for word sense identification. WordNet: An Electronic Lexical Database 49:2 (1998), 265-283.
57. [57] Vossen, P., Bond, F., McCrae, J., Toward a truly multilingual global wordnet grid. Proceedings of the 8th Global Wordnet Conference, 2016.
58. [58] Segers, R., Laparra, E., Rospocher, M., Vossen, P., Rigau, G., Ilievski, F., The predicate matrix and the event and implied situation ontology: Making more of events. Proceedings of GWC2016, 2016 (f.c.).
59. [59] Scheffczyk, J., Pease, A., Ellsworth, M., Linking framenet to the suggested upper merged ontology. Proceedings of FOIS 2006, 2006.
60. [60] Im, S., Pustejovsky, J., Annotating event implicatures for textual inference tasks. The 5th Conference on Generative Approaches to the Lexicon, 2009.
61. [61] Niles, I., Pease, A., Towards a standard upper ontology. Proceedings of FOIS-Volume 2001, 2001, ACM.
62. [62] Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A., Schneider, L., WonderWeb Deliverable D17. Technical Report, 2002, ISTC-CNR.
63. [63] Corcoglioniti, F., Rospocher, M., Mostarda, M., Amadori, M., Processing billions of RDF triples on a single machine using streaming and sorting. ACM SAC, 2015, 368-375.
64. [64] Corcoglioniti, F., Rospocher, M., Cattoni, R., Magnini, B., Serafini, L., The knowledgestore: a storage framework for interlinking unstructured and structured knowledge. Int. J. Semant. Web Inf. Syst. 11:2 (2015), 1-35, 10.4018/IJSWIS.2015040101.
65. [65] White, T., Hadoop: the definitive guide: the definitive guide. 2009, ”O'Reilly Media, Inc.”.
66. [66] Kattenberg, M., Beloki, Z., Soroa, A., Artola, X., Fokkens, A., Huygen, P., Verstoep, K., Two architectures for parallel processing of huge amounts of text. Proceedings of LREC 2016, 2016.
67. [67] Minard, A.-L., Speranza, M., Urizar, R., Altuna, B., van Erp, M., Schoen, A., van Son, C., MEANTIME, the NewsReader Multilingual Event and Time Corpus. Proceedings of LREC 2016, 2016.
68. [68] Cybulska, A., Vossen, P., Using a sledgehammer to crack a nut? lexical diversity and event coreference resolution. Proceedings of the 9th Language Resources and Evaluation Conference (LREC2014), Reykjavik, Iceland, 2014.
69. [69] Bejan, C.A., Harabagiu, S., Unsupervised event coreference resolution with rich linguistic features. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 2010.
70. [70] van Erp, M., Segers, R., Illievsky, F., Fokkens, A., Agerri, R., Rospocher, M., Aldabe, I., Laparra, E., Rigau, G., D5.2.2 Domain model for financial and economic events, version 2. Technical Report, 2015, Newsreader Project.
71. [71] Björkelund, A., Hafdell, L., Nugues, P., Multilingual semantic role labeling. Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task CoNLL ’09, 2009, Association for Computational Linguistics, Stroudsburg, PA, USA, 43-48 URL http://dl.acm.org/citation.cfm?id=1596409.1596416.
72. [72] Passos, A., Kumar, V., McCallum, A., Lexicon infused phrase embeddings for named entity resolution. Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014, Association for Computational Linguistics, Ann Arbor, Michigan, 78-86.
73. [73] Carreras, X., Marquez, L., Padro, L., Named entity extraction using AdaBoost. Proceedings of the 6th conference on Natural language learning-Volume 20, 2002, 1-4.
74. [74] Desmet, B., Hoste, V., Fine-grained dutch named entity recognition. Language resources and evaluation 48:2 (2014), 307-343.
75. [75] Zanoli, R., Pianta, E., EntityPro: exploiting SVM for Italian Named Entity Recognition. Intelligenza Artificiale - numero speciale su Strumenti per l'elaborazione del linguaggio naturale per l'italiano, 4, 2007, 69-70.
76. [76] Barrena, A., Soroa, A., Agirre, E., Combining mention context and hyperlinks from wikipedia for named entity disambiguation. Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015, Association for Computational Linguistics, Denver, Colorado, 101-105 URL http://www.aclweb.org/anthology/S15-1011.
77. [77] Monahan, S., Carpenter, D., Lorify: A knowledge base from scratch. TAC, 2012, NIST URL http://dblp.uni-trier.de/db/conf/tac/tac2012.html#MonahanC12.
78. [78] Zhao, H., Chen, W., Kity, C., Zhou, G., Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing. Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, 2009, Association for Computational Linguistics, Boulder, Colorado, 55-60 URL http://www.aclweb.org/anthology/W09-1208.
79. [79] Lee, K., Artzi, Y., Dodge, J., Zettlemoyer, L., Context-dependent semantic parsing for time expressions. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2014, Association for Computational Linguistics, Baltimore, Maryland, 1437-1447.
80. [80] Manfredi, G., Strötgen, J., Zell, J., Gertz, M., HeidelTime at EVENTI: Tunning Italian Resources and Addressing TimeML's Empty Tags. Proceedings of the Fourth International Workshop EVALITA 2014, 2014.
81. [81] Yang, B., Cardie, C., Frazier, P.I., A hierarchical distance-dependent bayesian model for event coreference resolution. CoRR, abs/1504.05929, 2015 URL http://arxiv.org/abs/1504.05929.
82. [82] Blei, D.M., Frazier, P.I., Distance dependent chinese restaurant processes. The Journal of Machine Learning Research 12 (2011), 2461-2488.
83. [83] Pradhan, S., Ramshaw, L., Marcus, M., Palmer, M., Weischedel, R., Xue, N., Conll-2011 shared task: modeling unrestricted coreference in ontonotes. Proceedings of CoNLL 2011: Shared Task, 2011.
84. [84] Vilain, M., Burger, J., Aberdeen, J., Connolly, D., Hirschman, L., A model theoretic coreference scoring scheme. Proceedings of MUC-6, 1995.
85. [85] Bagga, A., Baldwin, B., Algorithms for scoring coreference chains. Proceedings of the International Conference on Language Resources and Evaluation (LREC), 1998.
86. [86] Luo, X., On coreference resolution performance metrics. Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (EMNLP-2005), 2005.
87. [87] N. UzZaman, H. Llorens, L. Derczynski, M. Verhagen, J. Allen, J. Pustejovsky, Semeval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations, 2013.
88. [88] Vossen, P., Laparra, E., Aldabe, I., Rigau, G., Interoperability for cross-lingual and cross-document event detection. Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation. EVENTS workshop at NAACL-HLT 2015, Denver, Colorado, 2015.
89. [89] Caselli, T., Vossen, P., van Erp, M., Fokkens, A., Ilievski, F., Bevia, R.I., Lê, M., Morante, R., Postma, M., When it's all piling up: investigating error propagation in an nlp pipeline. NLP Applications: completing the puzzle, Passau, Germany, 2015.