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Short text authorship attribution via sequence kernels, Markov chains and author unmasking: An investigation
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In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing ; http://acl.ldc.upenn.edu/W/W06/#W06-1600 (2015)
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| 3 |
Toward Determining the Comprehensibility of Machine Translations
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In: DTIC (2012)
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| 4 |
Novel Topic Impact on Authorship Attribution
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In: DTIC (2009)
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Syntactic Simplification for Improving Content Selection in Multi-Document Summarization
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In: DTIC (2004)
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| 6 |
Cross-Document Coreference on a Large Scale Corpus
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In: DTIC (2004)
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| 7 |
A Similarity-Based Approach and Evaluation Methodology for Reduction of Drug Name Confusion
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In: DTIC (2003)
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| 8 |
The Bible, Truth, and Multilingual OCR Evaluation
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In: DTIC (1998)
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| 9 |
Experiments in Spoken Document Retrieval at CMU
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In: DTIC (1997)
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| 10 |
Efficient Algorithms for Speech Recognition.
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In: DTIC AND NTIS (1996)
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| 11 |
Overview of Results of the MUC-6 Evaluation
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In: DTIC (1995)
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Abstract:
The latest in a series of natural language processing system evaluations was concluded in October 1995 and was the topic of the Sixth Message Understanding Conference (MUC-6) in November. Participants were invited to enter their systems in as many as four different task-oriented evaluations. The Named Entity and Conference tasks entailed Standard Generalized Markup Language (SGML) annotation of texts and were being conducted for the first time. The other two tasks, Template Element and Scenario Template, were information extraction tasks that followed on from the MUC evaluations conducted in previous years. The evolution and design of the MUC- 6 evaluation are discussed in the paper by Grishman and Sundheim in this volume. All except the Scenario Template task are defined independently of any particular domain. This paper surveys the results of the evaluation on each task and, to a more limited extent, across tasks. Discussion of the results for each task is organized generally under the following topics: * Results on task as whole; * Results on some aspects of task; * Performance on "walkthrough article." The walkthrough article is an article selected from the test set. Participants were asked to analyze their system's performance on that article and comment on it in their presentations and papers. Permission has been granted by Dow Jones for the full text of the article to be reprinted in this proceedings. It appears in full in the first part of appendix A, and various site reports may contain excerpts from it or annotated versions of it. Also in appendix A are representations of the information contained in the answer key for the walkthrough article for each of the four tasks.
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Keyword:
*MARKUP LANGUAGES; *MESSAGE PROCESSING; *TEST SETS; *TEXTBOOKS; *WORDS(LANGUAGE); EXTRACTION; INFORMATION RETRIEVAL; Information Science; Linguistics; MUC-6; MUC-6(SIXTH MESSAGE UNDERSTANDING CONFERENCE); PAPER; REPORTS; SCENARIOS; SGML(STANDARD GENERALIZED MARKUP LANGUAGE); SITES; SURVEYS; TEMPLATES
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458881
http://www.dtic.mil/docs/citations/ADA458881
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| 12 |
Phonological Parsing for Bi-directional Letter-to-Sound/Sound-to-Letter Generation
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In: DTIC (1994)
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| 13 |
Signal Processing for Robust Speech Recognition
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In: DTIC (1994)
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| 14 |
Adaptive Natural Language Processing
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In: DTIC AND NTIS (1991)
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| 15 |
Global Optimization of Digital Circuits.
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In: DTIC AND NTIS (1991)
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| 16 |
Integrating Syntax, Semantics,and Discourse DARPA (Defense Advanced Research Projects Agency) Natural Language Understanding Program
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In: DTIC AND NTIS (1989)
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| 17 |
Integration of Speech and Natural Language
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In: DTIC AND NTIS (1989)
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PROGRAMMING LANGUAGE FOR AUTOMATIC CHECKOUT EQUIPMENT. VOLUME II. ADAPTED PLACE FOR THE BENDIX AN/GJQ-9.
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In: DTIC AND NTIS (1963)
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