ESpotter: Adaptive Named Entity Recognition for Web Browsing
Lecture notes in computer sciencePublished 1 January 2005
Jianhan Zhu, Victoria Uren, Enrico Motta
Citations57
SJR quartileQ2
SJR score0.35
SNIP0.55
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
A browser plug-in, which recognizes entities of various types on Web pages and highlights them according to their types to assist user browsing, and addresses the problem of multiple domains on the Web by adapting lexicon and patterns to these domains.
Abstract
Abstract. Browsing constitutes an important part of the user information searching process on the Web. In this paper, we present a browser plug-in called ESpotter, which recognizes entities of various types on Web pages and highlights them according to their types to assist user browsing. ESpotter uses a range of standard named entity recognition techniques. In addition, a key new feature of ESpotter is that it addresses the problem of multiple domains on the Web by adapting lexicon and patterns to these domains. 1
Keywords
Computer Science
Lecture notes in computer scienceExtracting Patterns and Relations from the World Wide Web
1,007 Citations1999Sergey Brin
This paper presents a technique which exploits the duality between sets of patterns and relations to grow the target relation starting from a small sample and uses it to extract a relation of (author,title) pairs from the World Wide Web.
Machine LearningLearning Information Extraction Rules for Semi-Structured and Free Text
928 Citations1999Stephen Soderland
WHISK is designed to handle text styles ranging from highly structured to free text, including text that is neither rigidly formatted nor composed of grammatical sentences, and can also handle extraction from free text such as news stories.
Web-scale information extraction in knowitall
753 Citations2004Oren Etzioni, Michael Cafarella +7 more
KnowItAll, a system that aims to automate the tedious process of extracting large collections of facts from the web in an autonomous, domain-independent, and scalable manner, is introduced.
Computers and the HumanitiesGATE, a General Architecture for Text Engineering
644 Citations2002Hamish Cunningham
GATE lies at the intersection of human language computation and software engineering, and constitutes aninfrastructural system supporting research and development of languageprocessing software.
Communications of the ACMOntologies and the semantic web
637 Citations2008Ian Horrocks
How ontologies provide the semantics, as explained here with the help of Harry Potter and his owl Hedwig.
Towards the self-annotating web
371 Citations2004Philipp Cimiano, Siegfried Handschuh +1 more
PANKOW (Pattern-based Annotation through Knowledge on theWeb), a method which employs an unsupervised, pattern-based approach to categorize instances with regard to an ontology, is proposed.
DOM-based content extraction of HTML documents
314 Citations2003Suhit Gupta, Gail E. Kaiser +2 more
This work has developed a framework that employs easily extensible set of techniques that incorporate advantages of previous work on content extraction, and the key insight is to work with the DOM trees, rather than with raw HTML markup.
Lecture notes in computer scienceMnM: Ontology Driven Semi-automatic and Automatic Support for Semantic Markup
295 Citations2002María Vargas-Vera, Enrico Motta +4 more
M is presented, an annotation tool which provides both automated and semi-automated support for annotating web pages with semantic contents and integrates a web browser with an ontology editor and provides open APIs to link to ontology servers and for integrating information extraction tools.
International Joint Conference on Artificial IntelligenceAdaptive information extraction from text by rule induction and generalisation
230 Citations2001Fabio Ciravegna
The role of shallow NLP in rule induction is discussed, and the algorithm has a considerable success story and real world applications have been developed and licenses have been released to external companies for building other applications.
Searching the Web with SHOE
207 Citations2000Jeff Heflin, James Hendler
The SHOE Search tool is presented, which allows the user to specify a context for his or her query, and then uses the context to help the user build a query by example.
Mining models of human activities from the web
182 Citations2004Mike Perkowitz, Matthai Philipose +2 more
A new class of sensors, based on Radio Frequency Identification (RFID) tags, can directly yield semantic terms that describe the state of the physical world, and is shown how to mine definitions of activities in an unsupervised manner from the web.
Journal of Web SemanticsA case for automated large-scale semantic annotation
128 Citations2003Stephen Dill, Nadav Eiron +10 more
It is argued that automated large-scale semantic tagging of ambiguous content can bootstrap and accelerate the creation of the semantic web.
Web page classification without the web page
79 Citations2004Min‐Yen Kan
This paper explores the use of URLs for webpage categorization via a two-phase pipeline of word segmentation/expansion and classification, and quantifies its performance against document-based methods, which require the retrieval of the source document.
Magpie
76 Citations2004John Domingue, Martin Džbor
This work argues that the ability to generate different semantic layers for a web resource is vital to support the interpretation of web pages and offers trigger functionality based on the patterns of an automatically updated semantic log.
Communications of the ACMThe role of lexicons in natural language processing
47 Citations1996Louise Guthrie, James Pustejovsky +2 more
The growing relations between these two entities are explored and, in particular, whether what is found in traditional dictionaries can be of service to those concerned with getting computers to process and understand natural human languages is investigated.
ScopusWeb Page Categorization without the Web Page
32 Citations2004Min‐Yen Kan, Segmenting Urls
This paper explores the use of URLs for web page categorization via a two-phase pipeline of word segmentation/expansion and classification, and quantifies its performance against document-based methods, which require the retrieval of the source document.
Edinburgh Research Explorer (University of Edinburgh)Multilingual XML-Based Named Entity Recognition for E-Retail Domains
14 Citations2002Claire Grover, Scott A. McDonald +9 more
XML is used as the common exchange format and the monolingual NERC components use a combination of rule-based and machine-learning techniques to process web pages which contain heavily structured data where text is intermingled with HTML and other code.