... another clus-ter as they refer to another person, the Basketball Player Michael Jordan. To a human, namedentitydisambiguation is usually not a difficult task as he can make deci-sions depending ... semantic relatedness measure for namedentity disambiguation. Because the key problem of named entitydisambiguation is to measure the similarity between name observations, we inte-grate ... it to the namedentity list extracted using the open-Calais API3, which contains more than 30 types of named entities, such as Person, Organization and Award; to find whether a N-gram is a...
... modest recall. As a result, large quantities of NE instances are automatically acquired. An automatically annotated NE corpus can then be constructed by extracting the tagged instances plus ... recall. Then, these rules are applied toa large raw corpus to automatically generate a tagged corpus. Finally, an HMM-based NE tagger is trained using this corpus. There is no iterative learning ... containsDigitAndAlpha, containsDigitAndDash, containsDigitAndSlash, containsDigitAndComma, containsDigitAndPeriod, otherNum, allCaps, capPeriod, initCap, lowerCase, other. 6 Benchmarking and...
... namely: authenti-cation, scraping, extraction, ontology mapping,store, statistics and web. The authentication en-ables to log in with an OpenID provider and sub-sequently attaches all analysis ... document that will be analyzed and option-ally an identification of the user for recording andsharing the analysis.2 FrameworkNERD is a web application plugged on top ofvarious NLP tools. Its architecture ... order to extract its main tex-tual content. Starting from the raw text, it drivesone or several tools to extract the list of Named Entity, their classification and the URIs that dis-ambiguate...
... easily applicable.This way of teaching a weaker classifier can alsobe used in other domains, where the task is to in-fer, and an abundance of unlabeled datais available. If one possesses a ... Case NERThe features we used can be divided into 2 classes:local and global. Local features are features that arebased on neighboring tokens, as well as the tokenitself. Global features are ... set to 0.Case and Zone: If the tokenstarts with a cap-ital letter (initCaps), then an additional feature (init-Caps, zone) is set to 1. If it is made up of all capitalletters, then (allCaps,...
... Amongthem, nanoscale TiO2is particularly interesting becausethey have large surface area, leading toa higher poten-tial of application in environment purification, gas sen-sor, and photovoltaic ... methodto synthesize nanowires titanium dioxid efrom layered titanate particlesMingdeng Wei*, Yoshinari Konishi, Haoshen Zhou, Hideki Sugihara, Hironori ArakawaNational Institute of Advanced ... TiO2(ST-01, Ishihara SangyoKaisha LTD.) in the stoichiometrical ratio 1:3. The pow-ders were mixed together and repeatedly ground in anagate mortar, and calcined at 1000 °C for 2 h in the air.Synthesis...
... and geographic locations) plays an im-portant role in various natural language processingand information retrieval tasks. The goal of Named EntityDisambiguation (NED) is to label a surfaceform ... Computational LinguisticsExploring Entity Relations for NamedEntity Disambiguation Danuta PlochDAI-Labor, Technische Universit¨at BerlinBerlin, Germanydanuta.ploch@dai-labor.deAbstract Named ... returned for each candidateas adisambiguation feature.3.4 Candidate classifier and NIL detectionWe cast NED as a supervised classification task anduse two binary SVM classifiers (Vapnik, 1995)....
... techniques which areappropriate for the academic laboratory research might not beappropriate for commercial settings of consumer laboratories. Aca-demic laboratory research typically uses student ... chocolate, vanilla ice cream, fried chicken and mashedpotatoes and gravy. Pizza and chocolate produced the strongestemotions based on Analysis of Variance. The terms active, adven-turous, affectionate, ... the laboratory (CLT) and also internet testing. Thomson(2008) has also argued that concepts such as satisfaction are moreappropriate than simple acceptance for commercial products, andthat both...
... incorporated the base phrase chunking information and semi-automatically collected country name list and personal relative trigger word list. Jiang and Zhai (2007) then systematically explored a ... to investigate how to find an approach that is particularly appropriate for Chinese. 3 A Chinese Relation Extraction Model Due to the aforementioned reasons, entity relation extraction in ... paper, we study a feature-based approach that basically integrates entity related information with context information. 3.1 Classification Features The classification is based on the following...
... Very Large Corpora.Kiyotaka Uchimoto, Qing Ma, Masaki Murata, Hi-romi Ozaku, Masao Utiyama, and Hitoshi Isahara.2000. Namedentity extraction based on a maxi-mum entropy model and transformation ... <ORGANIZATION>OO-SAKA -TO- YO-TA</ORGANIZATION> (= Os-aka Toyota) because Japanese POS taggers knowthat TO- YO-TA is an organization name (a kindof proper noun).*:*:location-name, ... charac-ters are used in Japanese: hiragana, katakana,kanji, symbols, numbers, and letters of the Ro-man alphabet. We use 17 character types forwords, e.g., single-kanji, all-kanji,all-katakana,...
... defined as "any physical damage'(hypernym: health problem). This is a typical example of a mismatch caused by the fine granularity of senses in Word- Net which translates into a human ... Mihalcea and D.I. Moldovan. 1999. An au- tomatic method for generating sense tagged corpora. In Proceedings of AAAI-99, Or- lando, FL, July. (to appear). G. Miller, M. Chodorow, S. Landes, ... Computational Linguistics. J. Stetina, S. Kurohashi, and M. Nagao. 1998. General word sense disambiguationmethod based on a full sentential context. In Us- age of WordNet in Natural Language...
... perhaps due to the factthat the transliteration forms in a non-alphabetic lan-guage such as Chinese are opaque and not easy to compare. On the hand, there is often more thanone way to transliterate ... scriptinto a phonological representation4during the pairsextraction phase and then these representations arecompared and similarity scores are given to all paircandidates. A lot of Chinese characters ... Approaches to Non-alphabetical TransliterationsChu-Ren HuangInstitute of LinguisticsAcademia Sinica, Taiwanchurenhuang@gmail.comPetrˇSimonInstitute of LinguisticsAcademia Sinica, Taiwansim@klubko.netShu-Kai...
... natural language analyzers. InProceedings of LREC’02, Las Palmas de Gran Ca-naria, Spain.Xavier Carreras, Llu´ıs M`arquez, and Llu´ıs Padr´o. 200 3a. Named entity recognition for Catalan ... Morgan Kaufmann Seriesin Data Management Systems. Morgan Kaufmann.Tong Zhang and David Johnson. 2003. A robust riskminimization based namedentity recognition system.In Walter Daelemans and ... effort.Our goal is to present amethod that will facilitatethe task of increasing the coverage of named entity extractor systems. In this setting, we assume thatwe have available an NE extractor system...