Notes:
FASTUS is a natural language processing system that is based on finite state automata, which are mathematical models of computation that can be used to recognize and process strings of symbols. FASTUS was developed in the 1980s as a way to enable computers to understand and process natural language text.
TextPro is a more recent natural language processing system that was derived from FASTUS. Like FASTUS, TextPro is based on finite state automata and is designed to enable computers to understand and process natural language text. TextPro is used for a variety of natural language processing tasks, such as language identification, part-of-speech tagging, and named entity recognition.
Resources:
- textpro .. derived from fastus
Wikipedia:
- Information extraction
- Scale-invariant feature transform (SIFT algorithm)
References:
- Creative Uses of Information Extracted from SMS Messages (2005)
- FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural-Language Text (1997)
See also:
Corpus Annotation Tools | DIPRE (Dual Iterative Pattern Relation Expansion) | FST (Finite State Transducers) | Snowball 2011 | Snowball 2012
SRI International: Description of the FASTUS system used for MUC-4 JR Hobbs, D Appelt, M Tyson, J Bear… – Proceedings of the 4th …, 1992 – dl.acm.org … Jerry R. Hobbs, Douglas Appelt, Mabry Tyson, John Bear, and David Israel SRI International Menlo Park, California 9402 5 hobbs©ai.sri.com (415) 859-2229 INTRODUCTIO N FASTUS is a (slightly permuted) acronym for Finite State Automaton Text Understanding System . … Cited by 63 Related articles All 15 versions Cite Save
MAESTRO: Conductor of multimedia analysis technologies SRI MAESTRO Team – Communications of the ACM, 2000 – dl.acm.org … MAESTRO uses TextPro, (a version of which is publicly available at www.ai.sri.com/~appelt/ TextPro), which is derived from FASTUS, but implemented in C++, and compliant with the architecture developed under the government-sponsored TIPSTER program. … Cited by 48 Related articles All 16 versions Cite Save
SRI International FASTUS system: MUC-6 test results and analysis DE Appelt, JR Hobbs, J Bear, D Israel… – Proceedings of the 6th …, 1995 – dl.acm.org … SRI International Menlo Park, California 9402 5 appelt@ai.sri.com (415) 859-6150 INTRODUCTIO N SRI International participated in the MUC-6 evaluation using the latest version of SRI’s FASTUS system [1] . The FASTUS system was originally developed for participation in … Cited by 121 Related articles All 23 versions Cite Save
Named entity extraction from speech: Approach and results using the TextPro system D Appelt, D Martin – Proc. DARPA Broadcast News Workshop, 1999 – books.google.com … For this reason, and because it is small and extremely fast, we felt that TextPro was a superior alternative to the more well known FASTUS system [Hobbs et al., 1996], which SRI has employed in various MUC evaluations. 1.1. … Cited by 38 Related articles All 3 versions Cite Save
InfoWiz: An animated voice interactive information system A Cheyer, L Julia – Proceedings of the Proceedings of the Workshop on …, 1999 – lucjulia.com … Menlo Park, CA 94025 – USA cheyer@ai.sri.com Luc Julia … In the first phase of our current knowledge population process, a developer runs an information extraction program based on SRI’s FASTUS technology [2] over the target set of web pages to produce a list of all names … Cited by 13 Related articles All 6 versions Cite Save More
Linguistic processing of biomedical texts C Hagège, A Sándor, A Schiller – Advances in Natural Language …, 2002 – Springer … 1 http://www-tsujii.is.su-tokyo.ac.jp/~genia/index.html 2 http://cat.cpmc.columbia.edu:8080/ medleexml 3 http://sdmc.krdl.org.sg/bic/groups/kleisli 4 http://www.cam.sri.com/html/ highlight_demo.html 5 http://www.ai.sri.com/~appelt/fastus.html Page 2. … Cited by 7 Related articles All 11 versions Cite Save
MVIEWS: Multimodal tools for the video analyst A Cheyer, L Julia – Proceedings of the 3rd international conference on …, 1998 – dl.acm.org … 2For more information about the OAA, see http://www.ai.sri.com/-oaa/ … Applying SRI’s FASTUS [6] and adding better domain coverage for speech recognition will be an improvement over the current implementation, which is based on simple keyword spotting and a hand-coded … Cited by 34 Related articles All 15 versions Cite Save
Probabilistic coreference in information extraction A Kehler – arXiv preprint cmp-lg/9706012, 1997 – arxiv.org … Andrew Kehler SRI International 333 Ravenswood Avenue Menlo Park, CA 94025 kehler@ai.sri.com … We present the results of initial experiments with several approaches to estimating such distributions in an application using SRI’s FASTUS information extraction system. … Cited by 72 Related articles All 12 versions Cite Save
Learning embedded discourse mechanisms for information extraction A Kehler – Proc. AAAI Spring Symposium on Applying Machine …, 1998 – aaai.org … In this paper we describe current research in learn- ing discourse processing strategies embedded in a real- world IE system, particularly SRI’s FASTUS (Hobbs et al. … MERGING [ TEMPLATES Figure 1: Architecture of the FASTUS Information Extraction System … Cited by 11 Related articles All 8 versions Cite Save
An overview of information extraction technology and its application to information retrieval DE Appelt, AI Center – TWLT 14 Language Technology in …, 1998 – eprints.eemcs.utwente.nl … queries. An experiment in which the SRI FASTUS system is applied to a routing task in TREC-6 is discussed, as well as an Open Domain System that is being developed to make such undertakings easier and quicker in the future. … Cited by 5 Related articles All 5 versions Cite Save More
Cooperative agents and recognition systems (CARS) for drivers and passengers LE Julia, AJ Cheyer – Computer Human Interaction Conference …, 1998 – ieeexplore.ieee.org … Adam J. CHEYER Artificial Intelligence Center SRI International 333 Ravenswood Avenue Menlo Park, CA 94025 USA cheyer@ai.sri.com Abstract … SRI’s GEMINI [5] and FASTUS [7] are more powerful tools, used for complex NL tasks. … Cited by 7 Related articles All 11 versions Cite Save
Tasking robots through multimodal interfaces: The “Coach Metaphor” L Julia – Collective Robotics, 1998 – Springer … These basic services can be classified into three areas: agent communication and cooperation, distributed data services, and trigger management. 2 http://www.ai.sri.com/~oaa … SRI’s GEMINI [6] and FASTUS [8] are more powerful tools, used for complex NL tasks. … Cited by 3 Related articles All 10 versions Cite Save
The SRI TIPSTER III project S Maiorano – Proceedings of a workshop on held at Baltimore, …, 1998 – dl.acm.org … The patterns are currently being implemented in SRI’s IE system, FASTUS. ‘ This material has been reviewed by the CIA. … “~ SRI’s Doug Appelt has proven the feasibility of CPSL by developing TextPro, a Mac-based IE system written in CPSL. (www.ai.sri.com/-appelt) 39 … Cited by 1 Related articles All 7 versions Cite Save
FASTUS JR Hobbs, M Kameyama, D Israel, J Bear, D Appelt… – 1999 – cds.cern.ch … dependent semantic and pragmatic processing can be applied to the right larger-scale structures. FASTUS is very efficient and effective, and has been used successfully in a number of applications. Submitted by, megumi@ai.sri.com. … All 2 versions Cite Save More
Shallow Processing & Named Entity Extraction G Neumann, B Sacaleanu – coli.uni-saarland.de … FASTUS Presentation slides. SRI International. http://www.ai.sri.com/~israel/Generic-FASTUS- talk.pdf Jurafsky, Daniel und James H. Martin (2000): Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics and Speech
Intelligent Information Access MT Maybury – 2005 – e-education.psu.edu Page 1. Intelligent Information Access Dr. Mark T. Maybury Executive Director Information Technology Division maybury@mitre.org 2 May 2005 MITRE Washington http://itc.mitre.org This data is the copyright and proprietary data of the MITRE Corporation. … Related articles All 2 versions Cite Save More
Evaluation of Multilingual Name Recognition Software JM Pedersen, R Steinberger – 2002 – langtech.jrc.it Page 1. Evaluation of Multilingual Name Recognition Software Thing Finder™ 2.2 Jane Mørk Pedersen & Ralf Steinberger JRC Technical Note No. I.02.120 December 2002 TP 267 I – 21020 Ispra (VA) Italy Tel: + 39 0332 78 … Cite Save More
Shallow Processing Light Parsing & Namend Entity Extraction G Neumann – coli.uni-saarland.de Page 1. Shallow Processing Light Parsing & Namend Entity Extraction Günter Neumann LT lab, DFKI (includes modified slides from Steven Bird, Gerd Dalemans, Karin Haenelt) Page 2. Human Language Technology • Human Language Technology LT – covers … Related articles All 2 versions Cite Save More
Information extraction across linguistic barriers M Kameyama – AAAI Symposium on Cross-Language Text and …, 1997 – aaai.org … Megumi Kameyama Artificial Intelligence Center SRI International 333 Ravenswood Ave., Menlo Park, CA 94025, USA megumi@ai.sri.com … SRI’s FASTUS has been used for an au- tomatic summarization of human-human spontaneous spoken dialogues about conference room … Cited by 10 Related articles All 5 versions Cite Save
Probabilistic Coreference in Information A Kehler – ucrel.lancs.ac.uk … Andrew Kehler SRI International 333 Ravenswood Avenue Menlo Park, CA 94025 kehler@ai.sri.com … We present the results of initial experiments with several approaches to estimating such distributions in an application using SRI’s FASTUS information extraction system. … Related articles All 5 versions Cite Save More
Estimating similarity among collaboration contributions K Murray, J Lowrance, D Appelt… – Proceedings of the 3rd …, 2005 – dl.acm.org … Kenneth Murray, John Lowrance, Doug Appelt, Andres Rodriguez SRI International Menlo Park, California, USA {murray lowrance appelt rodriguez} @ ai.sri.com … TextPro was developed as a succes- sor to the FASTUS [7] system, and like the earlier work, it is based on applying … Cited by 1 Related articles All 5 versions Cite Save
Using combinatory categorial grammar to extract biomedical information JC Park – Intelligent Systems, IEEE, 2001 – ieeexplore.ieee.org … 505–516. 7. “FASTUS: Extracting Information from Real-World Texts,” www.ai.sri.com/~ appelt/fastus. html (current 1 Nov. 2001). 8. A. Yakushiji et al., “Event Extraction from Biomedical Papers Using a Full Parser,” Proc. Pacific Symp. … Cited by 30 Related articles All 7 versions Cite Save
Advanced question and answering systems for community development Q Booker, S Farrar, M McQuaid… – System Sciences, 2002. …, 2002 – ieeexplore.ieee.org … Tagging and Parsing the Input A finite-state parsing scheme similar to that used in the FASTUS system [3] will be employed. … [3]Appelt, D. and Israel, D. (1997) “ANLP-97 Tutorial: Building Information Extraction Systems.” Available at www.ai.sri.com/~appelt/ie-tutorial … Cited by 2 Related articles All 6 versions Cite Save
Modelling Natural Language with Finite Automata K Haenelt – 2004 – kontext.fraunhofer.de Page 1. Modelling Natural Language with Finite Automata © Karin Haenelt 2004, Modelling Natural Language with Finite Automata 1 with Finite Automata Karin Haenelt 14. Theorietag der Fachgruppe „Automaten und Formale Sprachen“ der GI 28.09.2004 Page 2. Overview … Related articles All 3 versions Cite Save More
Information extraction from the world wide web W Cohen, A McCallum – 2003 – courses.cs.washington.edu … Mostly news articles – De Jong’s FRUMP [1982] • Hand-built system to fill Schank-style “scripts” from news wire – Message Understanding Conference (MUC) DARPA [’87-’95], TIPSTER [’92- ’96] • Most early work dominated by hand-built models – Eg SRI’s FASTUS, hand-built … Cited by 26 Related articles All 2 versions Cite Save More
SmartReader: An NLP-based interactive reading application for language learning K Oflazer, MP Dönmez – Computer and Information Sciences-ISCIS 2004, 2004 – Springer … Tutorial presented at IJCAI-99, available as http://www.ai.sri.com/~appelt/ie-tutorial/icjcai99.pdf (1999) 11. Hobbs, JR, Appelt, D., Bear, J., Israel, D., Kameyama, M., Stickel, M., Tyson, M.: FASTUS: A cascaded finite state transducer for extracting information from natural … Related articles All 5 versions Cite Save
Web Information Extraction for the Creation of Metadata in Semantic Web. CL Yeh, YC Su – ROCLING, 2005 – aclweb.org … Tutorial, 1999, Stockholm, Sweden. [7] Jerry R. Hobbs and David Israel, FASTUS: An Information Extraction System, http://www.ai.sri.com/~israel/fastus_brief2.pdf [8] H. Cunningham, D. Maynard, K. Bontcheva, V. Tablan. GATE: A Framework and Graphical … Cited by 2 Related articles All 6 versions Cite Save More
Semi-automatic content extraction from specifications K Thirunarayan, A Berkovich, D Sokol – Natural Language Processing and …, 2002 – Springer … from Natural-Language Text, 1996. (http://www.ai.sri.com/natural-language/projects/ fastus-schabes.html) 8. Grishman R.: The NYU System for MUC-6 or Where’s the Syntax?, Procs. of MUC-6 (1995). 9. Lehnert WG, Cardie … Cited by 2 Related articles All 11 versions Cite Save
Relationship mapping D Benachenhou – SPIE Defense, Security, and …, 2009 – proceedings.spiedigitallibrary.org … 121 (2007) [4] Hobbs, JR, Appelt, D., Bear, J., Israel, D., Kameyama, M., Stickel, M., and Tyson, M., “FASTUS: A Cascaded Finite-State Transducer for Extracting Information from Natural Language Text,” http://www.ai.sri.com/natural- language/projects/fastus-schabes.html. … Related articles All 4 versions Cite Save
Natural Language Processing-Based COTS Software and Related Technologies Survey MG Stickland, SM Eaton, GN Conrad – 2003 – prod.sandia.gov Page 1. SANDIA REPORT SAND2003-2916 Unlimited Release Printed September 2003 Natural Language Processing-Based COTS Software and Related Technologies Survey Michael G. Stickland, Shelley M. Eaton and Gregory N. Conrad … All 3 versions Cite Save More
Deriving metonymic coercions from WordNet S Harabagiu – Workshop on the Usage of WordNet in Natural …, 1998 – aclweb.org … Sanda M. Harabagiu Artificial Intelligence Center SRI International 333 Ravenswood Ave, Menlo Park, CA 94025 harabagi@ai.sri.com Abstract This paper presents a method for deriving metonymic coercions from the knowledge available in WordNet. … Cited by 25 Related articles All 17 versions Cite Save More
CS224N/Ling237 Final Project E Yeh – www-nlp.stanford.edu Page 1. CS224N/Ling237 Final Project Eric Yeh, yeh1@stanford.edu 1 CS224N/Ling237 Final Project Picking the Fresh from the Rotten: Quote and Sentiment Extraction from Rotten Tomatoes Movie Reviews. Eric Yeh 1. Abstract … Related articles All 3 versions Cite Save More
Annotation-based finite state processing in a large-scale NLP architecture B Boguraev – Recent Advances in Natural Language Processing …, 2004 – books.google.com … implied) tree. This is, in fact, a crucial assumption in systems like Abney’s (1996) CASS and SRI’s FASTUS (Hobbs et al. 1997). Page 78. ANNOTATION … The FASTUS system, on the other hand, as developed by Hobbs et al. is closer to … Cited by 11 Related articles All 4 versions Cite Save
An information extraction approach to reorganizing and summarizing specifications K Thirunarayan, A Berkovich, DZ Sokol – Information and Software …, 2005 – Elsevier … English grammatical structure. The SRI system FASTUS [23], the UMass system [14], and the NYU systems [19], [20] and [56] among others made extensive use of patterns in recognizing various tokens and concepts. MUC-7 … Cited by 10 Related articles All 5 versions Cite Save
Building a large lexical databank which provides deep semantics CJ Fillmore, C Wooters, CF Baker – … of the Pacific Asian Conference on …, 2001 – aclweb.org Page 1. Building a Large Lexical Databank Which Provides Deep Semantics* Charles J. Fillmore, Charles Wooters, and Collin F. Baker International Computer Science Institute 1947 Center Street Berkeley, CA 94704, USA {fillmore,wooters,collinb}Oicsi.berkeley.edu Abstract … Cited by 126 Related articles All 5 versions Cite Save More
Summarization of texts found on the World Wide Web MF Moens, R Angheluta, R De Busser – Knowledge-Based Information …, 2003 – Springer … Often, the analysis of the text occurs in different steps, which might be implemented as a cascade of finite state automata in which the output of one automaton forms the input of the next one. A famous example is the FASTUS system [Hobbs et al. 1996]. … Cited by 2 Related articles All 4 versions Cite Save
Bruegel iconic correlation system B Kovalerchuk, J Brown, M Kovalerchuk – Visual and Spatial Analysis, 2004 – Springer Page 1. Chapter 10 BRUEGEL ICONIC CORRELATION SYSTEM Boris Kovalerchuk, Jon Brown, and Michael Kovalerchuk Central Washington University, USA; Abstract: This chapter addresses the problem of visually correlating objects and events. … Cited by 1 Related articles All 5 versions Cite Save
Mining information for functional genomics L Bernardi, E Ratsch, R Kania, J Saric, I Rojas… – IEEE Intelligent …, 2002 – computer.org Page 1. Editor: Steffen Staab University of Karlsruhe sst@aifb.uni-karlsruhe.de Trends & Controversies 66 1094-7167/02/$17.00 © 2002 IEEE IEEE INTELLIGENT SYSTEMS Interdisciplinary Work: The Key to Functional Genomics … Cited by 17 Related articles All 5 versions Cite Save
[BOOK] Information extraction: algorithms and prospects in a retrieval context MF Moens – 2006 – books.google.com Page 1. Marie-Francine Moens Algorithms and Prospects in a Retrieval Context Springer Page 2. in a Retrieval Context Information Extraction: Algorithms and Prospects Page 3. THE INFORMATION RETRIEVAL SERIES Series … Cited by 164 Related articles All 11 versions Cite Save
The need for accurate alignment in natural language system evaluation A Kehler, J Bear, D Appelt – Computational Linguistics, 2001 – MIT Press … E-mail: appelt@ai.sri.com. c 2001 Association for Computational Linguistics Page 2. … The results of an IE system (in this case, a slightly modified version of what SRI’s Fastus [Appelt et al. 1995] extracted for this example) are shown in the righthand column. … Cited by 5 Related articles All 14 versions Cite Save
The use of syntactic structure in relationship extraction N Singh-Miller – 2004 – dspace.mit.edu … 2.3.3 Finite State Automaton Text Understanding System (FASTUS) 2.3.4 S IF T . . . . . … These approaches have had varying goals. A few of them, DIPRE, Snowball, FASTUS, and SIFT, are discussed below. DIPRE aimed to extract at … Cited by 7 Related articles All 6 versions Cite Save
Mining the Biomedical Literature: State of the Art, Challenges and Evaluation I Tutorial, H Shatkay – bi.snu.ac.kr Page 1. Mining the Biomedical Literature: State of the Art, Challenges and Evaluation Tutorial, ISMB’05 Hagit Shatkay School of Computing Queen’s University Kingston, Ontario K7L 3N6, Canada shatkay@cs.queensu.ca, http://www.cs.queensu.ca/home/shatkay 1 Introduction 1 … Related articles Cite Save More
Shallow Analysis: Light Parsing & Named Entity Extraction S Busemann – 2012 – coli.uni-saarland.de … SRI International. http://www.ai.sri.com/~israel/Generic-FASTUS- talk.pdf Jurafsky, Daniel und James H. Martin (2000): Speech and Language Processing. An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition. … Related articles All 2 versions Cite Save More
Information Extraction and Information Technology MF Moens – Information Extraction: Algorithms and Prospects in a …, 2006 – Springer … A large fraction of this information is unstructured in the form of text, images, video and audio. These gargantuan figures are already handcrafted (eg, the FASTUS system developed by Appelt et al., 1993). manually labeled (Shen et al., 2004). The application of these learning … Cited by 2 Related articles Cite Save
[BOOK] Recent advances and issues in computers M Gay – 2000 – books.google.com Page 1. Oryx Frontiers of Science Se Recent Advances and Issues in COMPUTERS Martin K. Gay Page 2. Page 3. Page 4. Page 5. Oryx Frontiers of Science Series RECENT ADVANCES AND ISSUES COMPUTERS by Martin K. Gay Oryx Press 2000 Thi s On, Page 6. … All 3 versions Cite Save
Toward Portable Information Extraction MV Tablan – 2009 – valentin.tablan.net … Although that provided good quality results, the complexity of the processing made it very slow and hindered development efforts. As a consequence, for the next MUC evaluations SRI decided to develop a brand new system, called FASTUS [Hobbs et al. … Cited by 1 Related articles All 3 versions Cite Save More