Automatic labeling of semantic roles
Computational Linguistics
An Introduction to Language Processing with Perl and Prolog: An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German (Cognitive Technologies)
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
The importance of syntactic parsing and inference in semantic role labeling
Computational Linguistics
The Unreasonable Effectiveness of Data
IEEE Intelligent Systems
Dependency-based syntactic-semantic analysis with PropBank and NomBank
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Multilingual semantic role labeling
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Semi-supervised semantic role labeling
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Studying the history of ideas using topic models
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Distant supervision for relation extraction without labeled data
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Exploiting time-based synonyms in searching document archives
Proceedings of the 10th annual joint conference on Digital libraries
Semantic role labeling for open information extraction
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Incorporating terminology evolution for query translation in text retrieval with association rules
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
SITAC: discovering semantically identical temporally altering concepts in text archives
Proceedings of the 14th International Conference on Extending Database Technology
A class of submodular functions for document summarization
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
End-to-end relation extraction using distant supervision from external semantic repositories
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Towards tracking semantic change by visual analytics
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Entity timelines: visual analytics and named entity evolution
Proceedings of the 20th ACM international conference on Information and knowledge management
Communications of the ACM
Open language learning for information extraction
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Introduction to "This is Watson"
IBM Journal of Research and Development
Automatic knowledge extraction from documents
IBM Journal of Research and Development
Extractive summarisation via sentence removal: condensing relevant sentences into a short summary
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Macroanalysis: Digital Methods and Literary History
Macroanalysis: Digital Methods and Literary History
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The massive amounts of text data made available through the Google Books digitization project have inspired a new field of big-data textual research. Named culturomics, this field has attracted the attention of a growing number of scholars over recent years. However, initial studies based on these data have been criticized for not referring to relevant work in linguistics and language technology. This paper provides some ideas, thoughts and first steps towards a new culturomics initiative, based this time on Swedish data, which pursues a more knowledge-based approach than previous work in this emerging field. The amount of new Swedish text produced daily and older texts being digitized in cultural heritage projects grows at an accelerating rate. These volumes of text being available in digital form have grown far beyond the capacity of human readers, leaving automated semantic processing of the texts as the only realistic option for accessing and using the information contained in them. The aim of our recently initiated research program is to advance the state of the art in language technology resources and methods for semantic processing of Big Swedish text and focus on the theoretical and methodological advancement of the state of the art in extracting and correlating information from large volumes of Swedish text using a combination of knowledge-based and statistical methods.