The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Library & Information Science Abstracts
The Constituent Object Parser (COP) is a domain independent syntactic parser developed for use in information retrieval and similar applications. ... Natural language processing. Parsers. TOPIC 90/6244 TOPIC parsing: accounting for text macro structures in full-text analysis. Udo Hahn. ...
For example, the user can pose a similarity based query of "Find a video scene similar to this one." ... A consequence of the growing consumer demand for visual information is that sophisticated technology is needed for representing, modeling, indexing, and retrieving multimedia data. ... Acknowledgments We thank the referees for their help. ...doi:10.1016/j.cviu.2003.08.003 fatcat:6azywnsaurerfbtvftnscl6jbm
Measuring Text similarity problem still one of opened fields for research area in natural language processing and text related research such as text mining, Web page retrieval, information retrieval and ... This approach can contribute in solving many NLP problems such as te xt entailment and information retrieval fields. ... 1.Introduction Text semantic similarity measures play important role in text related research and applications in tasks such as • Information retrieval, • Text Classification, • Document Clustering, • ...doi:10.54623/fue.fcij.4.1.5 fatcat:dvqjjos5jbddnhn4owvmxnd564
We developed a fully automated Information Retrieval System which uses advanced natural language processing techniques to enhance the effectiveness of traditional key-word based document retrieval. ... We would also like to thank Ralph Weischedel and Marie Meteer of BBN for providing and assisting in the use of the part of speech tagger. ... In addition, ACM has generously provided us with text data from the Computer Library database distributed by Ziff Communications Inc. ...doi:10.3115/981967.981981 dblp:conf/acl/StrzalkowskiV92 fatcat:zpfqvsei4re2jjxj7nbtwmgpka
Library & Information Science Abstracts
Natural language processing 90/4107 Constituent object parsing for information retrieval and similar text processing problems. Douglas P. Metzler, Stephanie W. Haas, Cynthia L. Cosic, Leslie H. ... This system has been developed specifically for text processing applications such as information retrieval, which can benefit from Structural comparisons between elements of text such as a query and a ...
This paper outlines and categorizes ways of using syntactic information in a number of algorithms for determining the semantic similarity of short texts. ... We consider the use of word order information, part-of-speech tagging, parsing and semantic role labeling. ... Such problems include text summarization and classification, question answering, information retrieval, etc. In text summarization the choice of sentences to be included in the summary is crucial. ...doi:10.5937/telfor1401064b fatcat:wb7hds5lrve2lixne3c2pxuxgq
for full text processing. including information retrieval. ... The Constituent Object Parser (COP) is designed to be used as a filter for conventional information retrieval systems. ...doi:10.1145/75335.75348 fatcat:mcancilo4raaplhddktllavfl4
Both structural-saving indexation and structural user search query allow to save semantic speech meaning of the text while search process. ... Many of current web search engines rely on inverted index-based data structures as document information store. ... During the development we have analyzed different information retrieval and NLP instruments and methods, such as syntactic parsing, POS tagging, and coreference analysis. ...doi:10.15439/2014f343 dblp:conf/fedcsis/GerasimovML14 fatcat:fnpxbozzfbev3a2jvpzh6t6g7a
The Semantics of Relationships
Automatic identification of semantic relations in text is a difficult problem, but is important for many applications. ... This chapter examines the main methods used for identifying semantic relations automatically and their application in information retrieval and information extraction. ... The text is also pre-processed to identify the major syntactic constituents, subject, verb phrase, direct & indirect object and prepositional phrases. ...doi:10.1007/978-94-017-0073-3_10 fatcat:hvmiowqglnbxlpvfj3tbgjyljm
In this paper we show that largescale natural language processing (hundreds of millions of words and more) is not only required for a better retrieval, but it is also doable, given appropriate resources ... This paper outlines a prototype text retrieval system which uses relatively advanced natural language processing techniques in order to enhance the effectiveness of statistical document retrieval. ... We would also like to thank Ralph Weischedel and Heidi Fox of BBN for providing and assisting in the use of the part of speech tagger. ...doi:10.3115/974358.974396 dblp:conf/anlp/Strzalkowski94 fatcat:3irhkmnwuzgqpif7ld2fizgpeu
The proposed approach is going to apply to the domain of information retrieval, and give an assertion for proceeding in the right directions of this research. ... In this paper, we propose concept-based text representation, with an accent on using the proposed representation in different applications such as information retrieval, text summarization, and question ... The Leximancer algorithms are scalable and so much larger amounts of text could be processed using more memory and multi-threaded processing. ...doi:10.9790/0661-16552427 fatcat:aqor36zu3bdavhv3emgvr232qi
SimQ is an informatics framework that compares the similarity of archived health questions and retrieves answers to satisfy consumers' information needs. ... Objective: In this study, we aim to develop efficient informatics methods that can retrieve similar Web-based consumer health questions using syntactic and semantic analysis. ... However, health care Q&As often contain challenging medical information that are too difficult to encapsulate for standard language processing and information retrieval to be effective    ...doi:10.2196/jmir.3388 pmid:25689608 pmcid:PMC4376128 fatcat:taodytcfrvejpfbnjypxukd7sy
2007 International Conference on Computer Engineering & Systems
Automated the extraction of interactions from unstructured text, would improve the content of databases that store this information and set a method for managing the continued growth of new literature ... Natural language processing approaches at various complexity levels have been recorded for extracting biochemical interactions from biomedical text. ... The time took for full parsing is also a problem for Information Extraction systems. ...doi:10.1109/icces.2007.4447028 fatcat:dzqxvrddhfbtnmkqjnns3mkg4q
This paper presents a system that was developed for the C@merata task to perform music information retrieval using textbased queries. ... The C@merata task is split in two modules that handle the queryparsing and music-information retrieval separately. ... The C@merata task is handled in two main stages: a) the text parsing, and, b) the music information retrieval. ...dblp:conf/mediaeval/Katsiavalos17 fatcat:hdtatwatdvfyjjjle77lioznfy
Lecture Notes in Computer Science
The semantic constraints described in a constraint graph are extracted automatically from the parsing results of the service description text by a set of heuristic rules. ... The experiment results are encouraging when applying the semantic constraint to discover semantic web services on the service retrieval test collection OWLS-TC v2. ... And then, the text is parsed syntactically to identify the constituents modifying the keywords. ...doi:10.1007/978-3-540-88564-1_10 fatcat:lcyf5ltxcvhythvhyagnvjjsva
« Previous Showing results 1 — 15 out of 7,851 results