Towards content-oriented patent document processing: Intelligent patent analysis and summarization

World Patent Information

Volumn 40, Issue , 2015, Pages 30-42

  Brügmann, Sören ^a   Bouayad Agha, Nadjet ^b   Burga, Alicia ^b   Carrascosa, Serguei ^c   Ciaramella, Alberto ^d   Ciaramella, Marco ^d   Codina Filba, Joan ^b   Escorsa, Enric ^c   Judea, Alex ^e   Mille, Simon ^b   Müller, Andreas ^e   Saggion, Horacio ^b   Ziering, Patrick ^e   Schütze, Hinrich ^f   Wanner, Leo ^b,g  

^a Brügmann Software GmbH   (Germany)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c IALE   (Spain)

^d IntelliSemantic Srl   (Italy)

^e UNIVERSITY OF STUTTGART   (Germany)

^f UNIVERSITY OF MUNICH   (Germany)

^g INSTITUCIÓ CATALANA DE RECERCA I ESTUDIS AVANÇATS ICREA   (Spain)

Author keywords

Claim description alignment; Document processing; Entity recognition; Lexical chain identification; Patent analysis; Segmentation; Summarization; TOPAS

Indexed keywords

EID: 84927176274     PISSN: 01722190     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.wpi.2014.10.003     Document Type: Article

References (25)

1. Bohnet B., Wanner L. Open source graph transducer interpreter and grammar development environment. Proceedings of the International Conference on Language Resources and Evaluation (LREC), Valletta, Malta 2010.
2. Bohnet B. Efficient parsing of syntactic and semantic dependency structures. Proceedings of the Conference on Natural Language Learning (CoNLL), Boulder 2009, 67-72.
3. Bonino D., Ciaramella A., Corno F. Review of the state of the art and forthcoming evolutions in intelligent patent informatics. World Patent Information 2010, 32(1):30-38.
4. Burga A., Codina J., Ferraro G., Saggion H., Wanner L. The Challenge of syntactic dependency parsing adaptation for the patent domain. Proceedings of the ESSLI Workshop on Extrinsic Parse Improvement (EPI), Düsseldorf, Germany 2013.
5. Burges C.J.C. Atutorial on support vector machines for pattern recognition. Data Min Knowl Discov 1998, 2(2):121-167.
6. Cunningham H., Maynard D., Bontcheva K., Tablan V., Aswani N., Roberts I., et al. Text processing with GATE (Version 6) 2011, University of Sheffield, Department of Computer Science, ISBN 0956599311.
7. Daille B. Study and implementation of combined techniques for automatic extraction of terminology. The balancing act: combining symbolic and statistical approaches to language 1996, 49-66. MIT Press, Cambridge, MA. P. Resnik, J. Klavans (Eds.).
8. Florian R., Ittycheriah A., Jing H., Zhang T. Named entity recognition through classifier combination. Proceedings of the Seventh Conference on Natural Language Learning 2003, 168-171.
9. Halliday M.A.K., Hasan R. Cohesion in English 1976, Longman, London.
10. Hearst M. TextTiling: segmenting text into multi-paragraph subtopic passages. Comput Linguist 1997, 23(1):33-64.
11. Judea A., Schütze H. Unsupervised training set generation for automatic acquisition of technical terminology in patents. Proceedings of the International Conference on Computational Linguistics (COLING), Dublin, Ireland 2014.
12. Lafferty John D., McCallum Andrew, Pereira Fernando C.N. Conditional random fields: probabilistic models for segmenting and labeling sequence data. Proceedings of the Eighteenth International Conference on Machine Learning (ICML '01) 2001, 282-289. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA.
13. Lareau F., Wanner L. Towards a generic multilingual dependency grammar for text generation. Proceedings of Grammatical Engineering Across Frameworks (GEAF) 2007, CSLI Publications in Computational Linguistics, Stanford. T. Holloway King, E. Bender (Eds.).
14. Lee H., Chang A., Peirsman Y., Chambers N., Surdeanu M., Jurafsky D. Deterministic coreference resolution based on entity-centric, precision-ranked rules. Comput Linguist 2013, 39(4):885-916.
15. Lee H., Peirsman Y., Chang A., Chambers N., Surdeanu M., Jurafsky D. Stanford's multi-pass sieve coreference resolution system at the CoNLL-2011 shared task. Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task 2011, 28-34.
16. Morris J., Hirst G. lexical cohesion computed by thesaural relations as an indicator of the structure of text. Comput Linguist 1991, 17(1):21-48.
17. Qadir A., Riloff E. Ensemble-based semantic Lexicon Induction for semantic tagging. Proceedings of the First Joint Conference on Lexical and Computational Semantics 2012.
18. Raghunathan K., Lee H., Rangarajan S., Chambers N., Surdeanu M., Jurafsky D., et al. AMulti-pass sieve for coreference resolution. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing 2010, 492-501.
19. Saggion H. SUMMA: A robust and Adaptable summarization tool. Trait Autom Des Langues 2008, 49(2).
20. Saggion H., Poibeau T. Automatic text summarization: past, present and future. Multi-source, multilingual information Extraction and summarization 2013, Springer Verlag, Berlin. T. Poibeau, H. Saggion, J. Piskorski, R. Yangarber (Eds.).
21. Sheldon J.G. How to write a patent application. Practicing Law Institute 2009, http://www.djstein.com/IP/Files/How%20to%20Write%20a%20Patent%20Application.pdf.
22. Tseng Y.-H., Lin C.-J., Lin Y.-I. Text mining techniques for patent analysis. Inform Process Manag 2007, 43(5):1216-1247.
23. Wanner L., Baeza-Yates R., Brügmann S., Codina J., Diallo B., Escorsa E., et al. Towards content-oriented patent document processing. World Patent Information 2008, 30(1):21-33.
24. Witten I.H., Frank E., Hall M.A. Data mining. Practical machine learning Tools and techniques 2011, Morgan Kaufmann, San Francisco.
25. Ziering P., van der Plas L., Schütze H. Multilingual Lexicon bootstrapping - improving a Lexicon induction system using a Parallel Corpus. Proceedings of the Sixth International Joint Conference on Natural Language Processing (IJCNLP) 2013.