DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...12
Hits 1 – 20 of 228

1
A Hybrid Approach to Clinical Question Answering
In: DTIC (2014)
BASE
Show details
2
Towards a Simple and Efficient Web Search Framework
In: DTIC (2014)
BASE
Show details
3
K2U at TREC 2014 KBA Track
In: DTIC (2014)
BASE
Show details
4
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
In: DTIC (2014)
BASE
Show details
5
Modelling Psychological Needs for User-dependent Contextual Suggestion
In: DTIC (2014)
BASE
Show details
6
Making Semantic Information Work Effectively for Degraded Environments
In: DTIC (2013)
BASE
Show details
7
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
In: DTIC (2013)
BASE
Show details
8
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
In: DTIC (2012)
BASE
Show details
9
Adding a Capability to Extract Sentiment from Text Using HanDles
In: DTIC (2012)
BASE
Show details
10
Horizontal Integration of Warfighter Intelligence Data: A Shared Semantic Resource for the Intelligence Community
In: DTIC (2012)
BASE
Show details
11
SAWUS: Siena's Automatic Wikipedia Update System
In: DTIC (2012)
BASE
Show details
12
CSSG: Learning within NLP Pipelines for Scalable Data Mining and Information Extraction
In: DTIC (2011)
BASE
Show details
13
Entity List Completion Using Set Expansion Techniques
In: DTIC (2011)
BASE
Show details
14
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
In: DTIC (2010)
BASE
Show details
15
Enhancing a Web Crawler with Arabic Search Capability
In: DTIC (2010)
BASE
Show details
16
Extrinsic Evaluation of Automated Information Extraction Programs
In: DTIC (2010)
Abstract: Information extraction (IE) plays a vital role in Natural Language Processing and also serves as the foundation for computational visualization of information. Information can be converted into a user-defined, ontology-friendly format much faster and more efficiently by automating IE. Programs like General Architecture for Text Engineering (GATE) and Automap allow entities such as name, date, location, and organization to be extracted from a corpus written in a natural language. Verbs and other parts of speech can be extracted using these programs as well. The extracted information can then be formatted into a computer-readable language for visualization and populating a database for use by the fusion community to provide actionable intelligence for the Warfighter. This technical note documents the results of the comparison of the IE tools offered by GATE versus those in Automap.
Keyword: *INFORMATION RETRIEVAL; GATE(GENERAL ARCHITECTURE TEXT ENGINEERING); GRAPHICAL USER INTERFACE; INFORMATION PROCESSING; Information Science; NATURAL LANGUAGE; PRECISION; SPEECH
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA533074
http://www.dtic.mil/docs/citations/ADA533074
BASE
Hide details
17
RMIT University at TREC 2009: Web Track
In: DTIC (2009)
BASE
Show details
18
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
BASE
Show details
19
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
BASE
Show details
20
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
BASE
Show details

Page: 1 2 3 4 5...12

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
228
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern