... resources such as dictionaries and thesauri. discourse properties ... In recent years, most dictionaries made available in Machine Readable format (MRD) ...
Example: Michael Jordan, basketball star or ... Choose the most relevant people to Michael Jordan. ... Movie database from IMDB. 230,000 actors. 40,000 movies ...
Pro: can use larger context when local information is not enough ... An electric guitar and a bass player stand off to one side. Just Count Things - Input ...
'WSD is perhaps the great open problem at the lexical level of NLP' (Resnik ... age 2: a historic period; 'the Victorian age'; 'we live in a litigious age' ...
Word Sense Disambiguation Zhang Yu zhangyu@ir.hit.edu.cn Overview of the Problem Problem: many words have different meanings or senses, i.e., there is ambiguity about ...
How seriously China has committed itself to market economy? ... 3) A steady growth in consumption has been achieved, with ample supply on the market. ...
Support Vector Machine Based Orthographic Disambiguation Eiji ARAMAKI, Takeshi IMAI, Kengo MIYO, Kazuhiko OHE Hospital center and centre are equivalent?
finance fashion. banking telecommunication. work music. business channel ... requires a lot of work'; 'no schools offer graduate study in interior design' ...
English nouns, verbs and adjectives are organized into synonym sets, each ... 23 Somebody's (body part) ----s. 24 Somebody ----s somebody to INFINITIVE ...
One sense per collocation ... One sense per collocation : Most senses are strongly correlated with certain ... Fk contains characteristic collocations. ...
1. Schema/Ontology level : Determining the similarity of attributes/concepts ... for entity disambiguation (Scalable Information Bottleneck (LIMBO) method) ...
Dictionary-Based Disambiguation: based on ... Express the dictionary sub-definitions of the ambiguous word as sets of bag-of ... Thesaurus-Based Disambiguation ...
Adding appropriate synonyms ad hyponyms to a query can improve retrieval effectiveness. ... have a number of hyponym synsets. Each hyponym synset H(w)ij have ...
for Disambiguation to Wikipedia Lev Ratinov1, Dan Roth1, Doug Downey2, Mike Anderson3 1University of Illinois at Urbana-Champaign 2Northwestern University
Definitions / Examples for each meaning. Find similarity ... Typical usage examples (for most word meanings) WordNet definitions/examples for the noun plant ...
Note: Some of the material in this set was adapted from a tutorial given ... dachshund. hunting dog. hyena dog. dingo. hyena. dog. terrier. Slide 26 ...
(17.1) '..., everybody has a career and none of them includes washing DISHES' ... One sense per collocation. Also automatic selection from machine readable dictionary ...
Learning Morphological Disambiguation Rules for Turkish Deniz Yuret Ferhan T re Ko University, stanbul Overview Turkish morphology The morphological ...
Natural Language Processing word sense disambiguation Updated 1/12/2005 Overview of the Problem Problem: many words have different meanings or senses == there is ...
Word sense disambiguation is the problem of selecting a sense for a ... holonym: {Plantae, kingdom Plantae, plant kingdom} NILESH.A.SHEWALE. 18. Lesk Algorithm ...
Program Analysis Techniques. for Memory Disambiguation. Radu Rugina and Martin Rinard ... (write v into the memory location that p points to) What memory ...
Any clusters that fell below a membership threshold (5) had their centroid ... For each page, they find the cluster that is closest to the page in the feature space. ...
Word Senses and Word Sense Disambiguation. CIS 530 Introduction to NLP ... Example: {chump, fish, fool, gull, mark, patsy, fall guy, sucker, schlemiel, ...
Retrieve geographically-relevant news documents ... e.g., 'Washington' is predominantly a Capital in MAC1 ... Test on news with disambiguators stripped out ...
College of Information Science & Technology Drexel University ... commonly used relationships include hypernym, hyponym, holonym, meronym, and synonym. ...
The same author names mistakenly appear under multiple name variants. ... Edit-distance, Affine Gap, Smith-Waterman, Jaro, etc. Token-based similarity metrics ...
All the senses for a word are collected into a dictionary. ... Cross category relations: operate#3 [Medicine] Cross language information. Polysemy Reduction ...
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation Masters Thesis : Saif Mohammad Advisor : Dr. Ted Pedersen University of Minnesota ...
Many plants and animals live in the rainforest. Plant1 Plant2 Plant3 ... Over half of the millions of known species of plants and animals live in the. rainforest. ...
Danny C. C. Poo, Teck-Kang Toh, Christopher S. G. Khoo, Glenn Hong. ... QUALIFIER: Question Answering by Lexical Fabric and External Resources. EACL 2003: 363-370 ...
Disambiguation Problems. in Digital Libraries. Tan Yee Fan. 2006 August 11 ... d(x1, x2) = 1 if x1 and x2 matches. d(x1, ... Jaro-Winkler, ... Abbreviation ...
Idea is to spot entity names in text and assign each potential match a confidence score ... Spotting Entity Names. Search document for entity names within the ontology ...
The dependents of a verb are classified in: arguments -subject, object, ... determine the probability distribution for each noun, verb, adjective and adverb ...
Named Entity Disambiguation on an Ontology Enriched by Wikipedia ... Utilizing ontological concepts, and properties of instances in a specific KB, to ...
Using Encyclopedic Knowledge for Named Entity Disambiguation Razvan Bunescu Marius Pasca Machine Learning Group Department of Computer Sciences University of Texas at ...
One sense per collocation : ... Calculate log-likelihood ratio of word-sense probability for each collocation: ... defining seed collocation for each possible ...
The morphological analysis of a word consists of determining the values of a ... morphological analyzer when marked overtly in orthography but not disambiguates. ...