[PDF] Top 20 Automatic Rule Induction for Unknown Word Guessing
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Automatic Rule Induction for Unknown Word Guessing
... Using such training data, three types of guessing rules are induced: prefix morphological rules, suffix morphological rules, and ending-guessing rules... Andrei Mikheev Unknown-Word Gues[r] ... See full document
20
Automatic Partial Parsing Rule Acquisition Using Decision Tree Induction
... In this paper, we present a method of automatically extracting partial pars- ing rules from a tree-annotated corpus using the decision tree method. Our goal is to extract rules with higher accuracy and broader coverage. ... See full document
12
POS Disambiguation and Unknown Word Guessing with Decision Trees
... At a next phase, for all words relative to a specific ambiguity scheme or for all unknown words, we collected from the tagged corpus their automatically and manually assigned tags along [r] ... See full document
8
Guessing Parts of Speech of Unknown Words Using Global Information
... words. Guessing the POS tags of such unknown words is a difficult ...creating word dictionaries automatically or semi- ...POS guessing of unknown words (Mori and Na- gao, 1996; Mikheev, ... See full document
8
Word Sense Induction: Triplet Based Clustering and Automatic Evaluation
... for word pairs in a predicate-argument relationship than for arbitrary associations at equivalent distance, ...(target word and two of it’s co- occurrences) instead of pairs (target word and one ... See full document
8
Unsupervised Learning of Word Category Guessing Rules
... Evaluation of tagging accuracy on unknown words using texts unseen by the guessers and the taggers at the training phase showed that tagging with the automatically induced cascading gues[r] ... See full document
8
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
... detect unknown words 2 : statistical approaches [5, 11, 12, 13, 14, 15] and rule-based approaches [5, 11, 14, ...Although rule-based approaches have the advantage of being simple, the complexity and ... See full document
12
A Hybrid Model for Sense Guessing of Chinese Unknown Words
... The third model simulates three ways of word forming in Chinese based on the semantic similarity. This is referred to as the SS Model. In detail, the first way is the same as Rules of type-1 of Lu (2007) and is ... See full document
10
Hybrid Methods for POS Guessing of Chinese Unknown Words
... The rule-based model is expected to yield high precision, as over-generation is minimized, but it is bound to suffer low recall for disyllabic ...the rule-based model and a higher pre- cision than the ... See full document
6
A Method for Automatic POS Guessing of Chinese Unknown Words
... The model based on CRFs is trained on the Modern Chinese Grammar Information Dictionary (Yu, 1998) and tested on the Contemporary Chinese Corpus of Peking University (Yu et al., 2002). The corpus is seg- mented and ... See full document
8
Automatic identification of unknown names with specific roles
... An unsupervised grammar induction algorithm (first presented in (Solan et al., 2005)), that discov- ers hierarchical structures in sequential data, has been modified by Salway and Touileb (2014) into a text mining ... See full document
9
Word Segmentation, Unknown word Resolution, and Morphological Agreement in a Hebrew Parsing System
... h word, tag i events, which are based on patterns observed in the unannotated training ...the word in this particular position functions as an adverb, tag it as an adverb, even though it is listed in the ... See full document
40
Comprehension and Interpretation of English and Albanian Fixed Expressions
... and lexical units (p.194). Samara (1981) also states that “fixed expressions are those linguistic units which ‘are totally lexicalized’ or have ‘a tendency for lexicalization’; they are semantically equivalent to a ... See full document
7
Mining Diagnostic Taxonomy for Multi Stage Medical Diagnosis
... This focusing mechanism is not only specific to medical domain. In a domain in which a few diagnostic conclusions should be selected from many candidates, this mechanism can be applied. For example, fault diagnosis of ... See full document
15
Automatic Semantic Tagging of Unknown Proper Names
... Automatic Semantic Tagging of Unknown Proper Names Automatic Semantic Tagging of Unknown Proper Names Alessandro CUCCHIARELLI Universith di Ancona Istituto di Informatica Via Brecce Bianche 60131 Anco[.] ... See full document
7
Automatic Semantic Classification for Chinese Unknown Compound Nouns
... identifying different type of unknown words are also different. For instance, identification of names of Chinese is very much relied on the surnames, which is a limited set of characters. The statistical methods ... See full document
7
Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets
... 3: Rule network sets that were generated as a result of this ...includes rule network sets that were generated as a result of this ...different rule set: set S01 represents results for the RuleGO ... See full document
14
Unknown word sense detection as outlier detection
... an unknown sense detection system, we need occurrences that are guaranteed not to belong to any of the seen ...the unknown sense once. Viewing each cross-validation run for each unknown sense as a ... See full document
8
An Automatic Processing of the Natural Language in the Word Count System
... AN AUTOMATIC PROCESSING OF THE NATURAL LANGUAGE IN THE WORD COUNT SYSTEM AN AUTOMATIC PROCESSING OF THE NATURAL LANGUAGE IN THE WORD COUNT SYSTEM HIROSHI NAKANO, SHIN'ICHI TSUCHIYA, AKIO TSURUOKA THE[.] ... See full document
8
Pruning methods for rule induction
... conquer rule-learning ...resulting rule set is then repeatedly simplified by deleting conditions and rules from the set until any further deletion would result in a decrease of predictive accuracy as ... See full document
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