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 ...
Unsupervised Disambiguation Word sense disambiguation without labeled training or other information sources Cannot label to predefined senses (there are none), so try ...
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 ...
... resources such as dictionaries and thesauri. discourse properties ... In recent years, most dictionaries made available in Machine Readable format (MRD) ...
Disambiguation of Biomedical Text Mark Stevenson Natural Language Processing Group University of Sheffield, UK http://www.dcs.shef.ac.uk/~marks Joint work with:
How seriously China has committed itself to market economy? ... 3) A steady growth in consumption has been achieved, with ample supply on the market. ...
1. Schema/Ontology level : Determining the similarity of attributes/concepts ... for entity disambiguation (Scalable Information Bottleneck (LIMBO) method) ...
Title: High contrast colours will help audiences to read text from a distance Author: Administrator Last modified by: Eric Atwell Created Date: 7/19/2007 9:21:37 AM
'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' ...
finance fashion. banking telecommunication. work music. business channel ... requires a lot of work'; 'no schools offer graduate study in interior design' ...
Dictionary-Based Disambiguation: based on ... Express the dictionary sub-definitions of the ambiguous word as sets of bag-of ... Thesaurus-Based Disambiguation ...
One sense per collocation ... One sense per collocation : Most senses are strongly correlated with certain ... Fk contains characteristic collocations. ...
English nouns, verbs and adjectives are organized into synonym sets, each ... 23 Somebody's (body part) ----s. 24 Somebody ----s somebody to INFINITIVE ...
Support Vector Machine Based Orthographic Disambiguation Eiji ARAMAKI, Takeshi IMAI, Kengo MIYO, Kazuhiko OHE Hospital center and centre are equivalent?
The reason why some jokes are funny. The reason natural languages differ from artificial ones ... Is it really a big problem ? Domain specific vocabularies, themes ...
for Disambiguation to Wikipedia Lev Ratinov1, Dan Roth1, Doug Downey2, Mike Anderson3 1University of Illinois at Urbana-Champaign 2Northwestern University
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 ...
Natural Language Processing word sense disambiguation Updated 1/12/2005 Overview of the Problem Problem: many words have different meanings or senses == there is ...
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 ...
Definitions / Examples for each meaning. Find similarity ... Typical usage examples (for most word meanings) WordNet definitions/examples for the noun plant ...
Name Disambiguation in Digital Libraries. The Pennsylvania State University ... Apple iPod Nano 4GB vs. 4GB iPod nano 4GB. Apple iPhone vs. Canadian iPhone ...
Learning Morphological Disambiguation Rules for Turkish Deniz Yuret Ferhan T re Ko University, stanbul Overview Turkish morphology The morphological ...
Retrieve geographically-relevant news documents ... e.g., 'Washington' is predominantly a Capital in MAC1 ... Test on news with disambiguators stripped out ...
Word sense disambiguation is the problem of selecting a sense for a ... holonym: {Plantae, kingdom Plantae, plant kingdom} NILESH.A.SHEWALE. 18. Lesk Algorithm ...
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. ...
(17.1) '..., everybody has a career and none of them includes washing DISHES' ... One sense per collocation. Also automatic selection from machine readable dictionary ...
Add terms ( synonyms, hyponyms etc of the determined sense) to the query so as ... Each ti, i = 1, 2, has synonym sets, their definitions, hyponym sets, and ...
Word Senses and Word Sense Disambiguation. CIS 530 Introduction to NLP ... Example: {chump, fish, fool, gull, mark, patsy, fall guy, sucker, schlemiel, ...
Program Analysis Techniques. for Memory Disambiguation. Radu Rugina and Martin Rinard ... (write v into the memory location that p points to) What memory ...
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 ...
All the senses for a word are collected into a dictionary. ... Cross category relations: operate#3 [Medicine] Cross language information. Polysemy Reduction ...
College of Information Science & Technology Drexel University ... commonly used relationships include hypernym, hyponym, holonym, meronym, and synonym. ...
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 ...
The same author names mistakenly appear under multiple name variants. ... Edit-distance, Affine Gap, Smith-Waterman, Jaro, etc. Token-based similarity metrics ...
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation Masters Thesis : Saif Mohammad Advisor : Dr. Ted Pedersen University of Minnesota ...
DASFAA 2007, Bangkok, Thailand. 3. Data Cleaning. Analysis on bad data leads to wrong conclusions ... DASFAA 2007, Bangkok, Thailand. 12. Adaptive Solution ...
The Enron corpus. a collection of mail from the Enron corpus that has been made available for the ... For Enron, two datasets were generated automatically. ...
Using Encyclopedic Knowledge for Named Entity Disambiguation Razvan Bunescu Marius Pasca Machine Learning Group Department of Computer Sciences University of Texas at ...