| 1 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
A Journey in Entity Related Retrieval for TREC 2009
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Lucene for n-grams using the ClueWeb Collection
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
BIT at TREC 2009 Faceted Blog Distillation Task
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Experiments on Related Entity Finding Track at TREC 2009
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
|
|
|
|
In: DTIC (2009)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Techniques for Automatically Generating Biographical Summaries from News Articles
|
|
|
|
In: DTIC (2007)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
|
|
|
|
In: DTIC (2006)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
NTCIR CLIR Experiments at the University of Maryland
|
|
|
|
In: DTIC (2000)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Experiments in Spoken Document Retrieval at CMU
|
|
|
|
In: DTIC (1997)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Domain and Language Evaluation Results
|
|
|
|
In: DTIC (1993)
|
|
Abstract:
The Fifth Message Understanding Conference (MUC-5) focused on the task of data extraction for two distinctly different applications, one within the domain of joint ventures (JV) and the other within the domain of microelectronics (ME) . For each application, the task could be performed in either English and/or Japanese, giving four combinations : English Joint Ventures, Japanese Joint Ventures, English Microelectronics, and Japanese Microelectronics . Interpreting the evaluation results across domains and within a single domain between languages is affected d by a number of factors. Differences in task focus, complexity, and domain technicality make it impossible to apply inferential statistics between domains . In addition, even though the task and the template design were the same across languages within a single domain, differences in the types of text sources for each language and accompanying variations in template fills and fill rules by language also make it impossible to apply inferential statistics between the language pairs . Moreover, there is considerable variation in the participants' level of effort and funding, and not all of the participants worked in multiple languages and/or multiple domains . In light of these factors, I will present descriptive statistics comparing error per response fill to address the following questions : (1) For both languages, what is the performance difference between domains? (2) Between domains, what are performance differences for the single shared object and for unattempted slots? (3) For both domains, what is the performance difference between languages? (4) For a single domain, what are representative differences at object and slot levels between English and Japanese? The discussion of domain and language difference s will center upon general factors that influence performance in information extraction.
|
|
Keyword:
*DATA PROCESSING; *ENGLISH LANGUAGE; *INFORMATION RETRIEVAL; *MICROELECTRONICS; *STATISTICS; Electrical and Electronic Equipment; EXTRACTION; FILLERS; Information Science; JAPAN; LANGUAGE; Linguistics; SHARING; SLOTS; Statistics and Probability; TEMPLATES; TEST AND EVALUATION
|
|
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460578
http://www.dtic.mil/docs/citations/ADA460578
|
|
BASE
|
|
Hide details
|
|
|
| 17 |
Tipster Shogun System (Joint GE-CMU): MUC-4 Test Results and Analysis
|
|
|
|
In: DTIC (1992)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
GE-CMU: Description of the Tipster/Shogun System as Used for MUC-4
|
|
|
|
In: DTIC (1992)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991
|
|
|
|
In: DTIC (1991)
|
|
BASE
|
|
Show details
|
|
|
|
|
