RESEARCH PAPER READING LIST

         CS KAISERSLAUTERN  (SS 2014) - ADVANCES IN INFORMATION EXTRACTION: FROM TEXT AND IMAGE TO KNOWLEDGE (Instructor: Dr. Daniel Sonntag, DFKI)

More conceptual
  1. Mooney R, Bunescu R (2005) Mining Kowledge from Text Using Information Extraction, ACM SIGKDD Exploration 7(1):3-10
  2. Moldovan D, Surdeanu M (2003) On the Role of Information Retrieval and Information Extraction in Question Answering Systems, LNCS Volume 2700: 129-147
  3. Lieberman H (2009) User interface goals, AI opportunities, AI Mag 30(4):16–22
  4. Sonntag, D (2009) Introspection and Adaptable Model Integration for Dialogue-based Question Answering, IJCAI 2009: 1549-1554 
  5. McGuiness, D (2004) Question Answering on the Semantic Web,  IEEE Intelligent Systems 19(1):82–85
  6. Sarawagi S (2008) Information Extraction, Foundations and Trends in Databases 1(3):261-377
  7. Bolt, R A (1980) Put-that-there SIGGRAPH ‘80 Conference Proceedings, ACM Press, 262-270
  8. Appelt D, Israel D (1999) Introduction to Information Extraction Technology, IJCAI Tutorial
  9. Kipp M (2001), ANVIL A Generic Annotation Tool for Multimodal Dialogue, Eurospeech
  10. Koons D B, Sparrell C J , and Thorisson, K R (1993), Integrating Simultaneous Output from Speech, Gaze, and Hand Gestures. In Intelligent Multimedia Interfaces
  11. Hobbs R and Riloff E (2010) Information Extraction, In Handbook of Natural Language Processing
More technical
  1. Hearst MA (1992) Automatic Acquisition of Hyponyms from Large Text Corpora, COLING
  2. Fader A, Soderland S, and Etzioni O (2011) Identifying relations for open information extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '11), pages 1535–1545.
  3. Fader A, Zettlemoyer L, Etzioni O (2013) Paraphrase-Driven Learning for Open Question Answering, ACL
  4. Parikh D, Kovashka A, Parkash A, and Grauman K (2012) Relative attributes for enhanced human-machine communication. In AAAI Conference on Artificial Intelligence (2012)
  5. Vintar Š, Todorovski L, Sonntag D, Buitelaar P (2004) Evaluating Context Features for Medical Relation Mining, Data Mining and Text Mining for Bioinformatics at ECML
  6. Etzioni O, Cafarella M, Downey D, Kok S, Popescu AM, Shaked T, Soderland S, Weld DS, and Yates A (2004) Web-scale information extraction in KnowItAll, WWW Conference
  7. Suchanek F, Kasneci G, and Weikum G (2007) YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia, WWW Conference
  8. Kozareva Z, Hovy E (2010) Learning arguments and supertypes of semantic relations using recursive patterns, ACL
  9. Neumann G and Schmeier S (2012) Guided Exploratory Search on the Mobile Web, KDIR
  10. Mooney R, Nahm UY (2005) Text Mining with Information Extraction, MIDP Colloquium 
  11. Welty  C and Murdock JW (2006) Towards knowledge acquisition from information extraction, ISWC
  12. Danescu-Niculescu-Mizil C, West R, Jurafsky Dan, Leskovec J, Potts, C (2013) No Country for Old Members: User Lifecycle and Linguistic Change in Online Communities, WWW Conference
  13. Li H, Xu F, Uszkoreit H (2011) Monitoring the Minimally Supervised ML of Relation Extraction Rules RANLP, pages 378-384
  14. Riloff Ellen (1996) Automatically generating extraction patterns from untagged text, AAAI
  15. Arbelaez P, Maire M, Fowlkes C, and Malik J (2009) From contours to regions: an empirical evaluation. In CVPR. 2009.
  16. Land M1, Mennie N, Rusted J (1999) The roles of vision and eye movements in the control of activities of daily living, Perception 28(11):1311-28
  17. Hu Q, Goodman F, Boykin S, Fish R, Greiff W, Jones S, Moore S (2008) Automatic Detection, Indexing, and Retrieval of Multiple Attributes from Cross-lingual Multimedia Data, AAAI Fall Symposium on Multimedia Information Extraction
  18. Aroyo L, Welty C (2013) Measuring Crowd Truth for Medical Relation Extraction, AAAI Fall Symposium on Semantics for Big Data
  19. Das M, Loui A, and Blose A (2012) Visual Feature Localization for Detecting Unique Objects in Images, In Multimedia Information Extraction
  20. Nickel M, Tresp V, and Kriegel HP (2012). Factorizing YAGO: Scalable Machine Learning for Linked Data. In Proceedings of the 21st International World Wide Web Conference