A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Learning Syntactic Rules and Tags with Genetic Algorithms for Information Retrieval and Filtering: An Empirical Basis for Grammatical Rules
[article]
1995
arXiv
pre-print
Preserved Fulltext
Other Versions
The grammars of natural languages may be learned by using genetic algorithms that reproduce and mutate grammatical rules and part-of-speech tags, improving the quality of later generations of grammatical ...
Syntactic rules are randomly generated and then evolve; those rules resulting in improved parsing and occasionally improved retrieval and filtering performance are allowed to further propagate. ...
The data for learning syntactic rules alone runs concurrently for much of this data set with learning syntactic rules and tags together. 6.1 Learning Syntactic Rules and Part-of-Speech Tags Figure 1 ...
arXiv:cmp-lg/9505005v2
fatcat:h2jmzqggnbb2phckza2czbzwui
Learning syntactic rules and tags with genetic algorithms for information retrieval and filtering: An empirical basis for grammatical rules
1996
Information Processing & Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2005; you can also visit the original URL.
The file type is application/pdf.
The grammars of natural languages may be learned by using genetic algorithms that reproduce and mutate grammatical rules and part-of-speech tags, improving the quality of later generations of grammatical ...
Syntactic rules are randomly generated and then evolve; those rules resulting in improved parsing and occasionally improved retrieval and filtering performance are allowed to further propagate. ...
These syntactic rules and the relationships between grammatical tags and terms may be stored as alleles, individual elements within genes, for analysis with a genetic algorithm. ...
doi:10.1016/s0306-4573(96)85005-9
fatcat:wj4dlscfl5gt5lmrhh6vaz3rc4
Learning syntactic rules and tags with genetic algorithms for information retrieval and filtering: An empirical basis for grammatical rules
1996
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The grammars of natural languages may be learned by using genetic algorithms that reproduce and mutate grammatical rules and part-of-speech tags, improving the quality of later generations of grammatical ...
Syntactic rules are randomly generated and then evolve ...
The data for learning syntactic rules alone runs concurrently for much of this data set with learning syntactic rules and tags together. 6.1 Learning Syntactic Rules and Part-of-Speech Tags Figure 1 ...
doi:10.17615/4eny-ax44
fatcat:3rqaohnkkfetljz3uw3wq46pae
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This paper describes a variant of Brill's implementation that instead uses a genetic algorithm to generate the instantiated rules and provide an adaptive ranking. ...
Although not able to make up for the use of a priori knowledge utilized by Brill, the method appears to point the way for an improved solution to the tagging problem. ...
Valdo Keselj for his questions and providing the Wall Street Journal corpus, as well as the referees for their helpful comments. ...
doi:10.1145/1068009.1068352
dblp:conf/gecco/WilsonH05
fatcat:jz6xhhlhbfc7lcrqvlvaeue7l4
Coupled intrinsic and extrinsic human language resource-based query expansion
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Poor information retrieval performance has often been attributed to the query-document vocabulary mismatch problem which is defined as the difficulty for human users to formulate precise natural language ...
To alleviate this problem, query expansion processes are applied in order to spawn and integrate additional terms to an initial query. ...
The mutation and crossover reproduction genetic operators are empirically set at a rate of 10 and 1000 respectively for maximum performance. ...
arXiv:2004.11083v1
fatcat:pxro5fus6zhrxiw32a2xbzsiue
A hybrid method for extracting relations between Arabic named entities
2014
Journal of King Saud University: Computer and Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The empirical results indicate that the hybrid approach outperformed both the rule-based system (by 12%) and the machine learning-based approaches (by 9%) in terms of the F-score, to achieve 75.2% when ...
Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization and question answering. ...
This finding explains Figure 6 Learning curve depending on the number of instances. the fact that morpho-syntactic features are a basis in our learning method. ...
doi:10.1016/j.jksuci.2014.06.004
fatcat:avyfhre6mbcq7hzg35yf7jxdei
Named Entity Recognition in Biomedical Domain: A Survey
2019
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
NER has been an active area of research for the past twenty years. ...
Named Entity Recognition plays an important role in locating and classifying atomic elements into predefined categories such as person names, locations, organizations, expression of times, temporal expressions ...
It explains the need for Named Entity Recognition in this field along with the various problems in the process including the challenges of extracting information from narrative text and the lack of performance ...
doi:10.5120/ijca2019918469
fatcat:n2cumq3lpjgqblf64otnoxal64
E-Mail Authorship Attribution for Computer Forensics
[chapter]
2002
Advances in Information Security
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We use an extended set of e-mail document features such as structural characteristics and linguistic patterns together with a Support Vector Machine learning algorithm. ...
Experiments on a number of e-mail documents generated by different authors on a set of topics gave promising results for both inter-and intra-topic author categorisation. ...
., cusum [13] , Thisted and Efron test [32] ), neural networks (e.g., radial basis functions [21] , feedforward neural networks [34] , cascade correlation [37] ), genetic algorithms (e.g., [16] ) ...
doi:10.1007/978-1-4615-0953-0_9
fatcat:gut64qf5zfgitmousldylfsqsu
The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis
[chapter]
2015
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
Such algorithms are very good at retrieving texts, splitting them into parts, checking the spelling, and counting their words. ...
But when it comes to interpreting sentences and extracting opinionated information, their capabilities are known to be very limited. ...
[51] proposed a modified version, which is based on part-of-speech tagging with a shallow syntactic parse indicating grammatical rules. ...
doi:10.1007/978-3-319-18117-2_1
fatcat:zlu3xwbijjcbxhq3tngtxqljz4
Mining e-mail content for author identification forensics
2001
SIGMOD record
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining ...
We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. ...
., cusum [14] , Thisted and Efron test [33] ), neural networks (e.g., radial basis functions [22] , feedforward neural networks [36] , cascade correlation [39] ), genetic algorithms (e.g., [17] ) ...
doi:10.1145/604264.604272
fatcat:cikcogoeybc4zansdkldeslv2u
Recent progress in automatically extracting information from the pharmacogenomic literature
2010
Pharmacogenomics (London)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Acknowledgements The authors would like to thank Connie M Oshiro for comments on the manuscript and Nicholas P Tatonetti for useful discussions and assistance creating the figures. ...
We also thank the three anonymous reviewers for their excellent comments. ...
., rule based) and co-occurrence filtering [81] . ...
doi:10.2217/pgs.10.136
pmid:21047206
pmcid:PMC3035632
fatcat:7g3jwc4hjfetbb5phmzstzhjeu
Mining the Biomedical Literature in the Genomic Era: An Overview
2003
Journal of Computational Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
most relevant and useful for specific analysis tasks. ...
This combined abundance of genes and literature produces a major bottleneck for interpreting and planning genome-wide experiments. ...
ACKNOWLEDGMENTS We thank the ClearForest-Celera team for their work towards the KDD-cup 2002. HS thanks Stephen Edwards, Mark Boguski, and John Wilbur for their collaboration on the GenTheme project. ...
doi:10.1089/106652703322756104
pmid:14980013
fatcat:vbwcpl66ujhqdgq4wdjtllbg5e
Index—Volumes 1–89
1997
Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
903
Q*
algorithm 46
algorithm, use of syntactic and semantic
information in the -46
search algorithm 46
Q-Learning algorithm Watkins' -1164
QA question-answering
system 46
QA4
language 57 ...
and reasoning
with processes 973
exception
condition, production rules with an -363
handling 473
exceptionally hard problems 1184
exceptions 67 1
to the rules 1368
excessive
crossover rates ...
doi:10.1016/s0004-3702(97)80122-1
fatcat:6az7xycuifaerl7kmv7l3x6rpm
MultiLingMine 2016: Modeling, Learning and Mining for Cross/Multilinguality
[chapter]
2016
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This segmenter is based on Rhetorical Structure Theory (RST) for Spanish, and uses lexical and syntactic information to translate rules valid for Spanish into rules for Catalan. ...
ranking, information extraction, feature engineering, text mining and machine learning. ...
Zagorka Brodić, professor of French and Serbo-Croatian languages, for the helpful discussions about Latin and Italian languages. ...
doi:10.1007/978-3-319-30671-1_83
fatcat:znq74oljzfefrfhzdkpphzekz4
Content-based citation analysis: The next generation of citation analysis
2014
Journal of the Association for Information Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Content-based citation analysis (CCA) addresses a citation's value by interpreting each based on their contexts at both syntactic and semantic level. ...
, more accurate citation prediction, and increased knowledge discovery. ...
Their results confirmed that the feature set, with the POS tags and added syntactic patterns, was most effective. ...
doi:10.1002/asi.23256
fatcat:7gethjhuzva4nejqnd4uthpogi
« Previous
Showing results 1 — 15 out of 345 results