Add to ORKG148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.This thesis presents theoretical and empirical arguments for the advantages of using: (i) Sentence structure. (ii) The Sequential Model . Empirical arguments are given using word-prediction and part of speech tagging tasks. Theoretical arguments present this thesis as an extension of the current classification methods which aim at disambiguating among many classes.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD
Multi-label classification is a generalization of a broader concept of multi-class classification in...
Automatic inference of a classification of words has been carried out by several researchers recentl...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.In sum, this dissertation dea...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.This thesis presents theoreti...
International audienceIn this work, we introduce the concept of Multiclass for language modeling and...
Real-world problems often have multiple classes: text, speech, image, biological sequences. Algorith...
In this paper we describe a multilevel model for natural language processing. The distinct computati...
The universal and typological status of the notion of word class — closely related to part-of-speech...
Treball realitzat a TELECOM ParisTech i EADS FranceMulti-class classification is the core issue of m...
In this paper, we propose a hybrid approach to solving multi-class problems which combines evolution...
This introduction to this issue outlines the main issues concerning nominal classification within a ...
A major part of natural language processing now depends on the use of text data to build linguistic ...
We address the problem of predicting a word from previous words in a sample of text. In particular, ...
In many classification problems, neighbor data labels have inherent sequential relationships. Sequen...
The initial stage of language comprehension is a multilabel classification problem. Listeners or rea...
Multi-label classification is a generalization of a broader concept of multi-class classification in...
Automatic inference of a classification of words has been carried out by several researchers recentl...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.In sum, this dissertation dea...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.This thesis presents theoreti...
International audienceIn this work, we introduce the concept of Multiclass for language modeling and...
Real-world problems often have multiple classes: text, speech, image, biological sequences. Algorith...
In this paper we describe a multilevel model for natural language processing. The distinct computati...
The universal and typological status of the notion of word class — closely related to part-of-speech...
Treball realitzat a TELECOM ParisTech i EADS FranceMulti-class classification is the core issue of m...
In this paper, we propose a hybrid approach to solving multi-class problems which combines evolution...
This introduction to this issue outlines the main issues concerning nominal classification within a ...
A major part of natural language processing now depends on the use of text data to build linguistic ...
We address the problem of predicting a word from previous words in a sample of text. In particular, ...
In many classification problems, neighbor data labels have inherent sequential relationships. Sequen...
The initial stage of language comprehension is a multilabel classification problem. Listeners or rea...
Multi-label classification is a generalization of a broader concept of multi-class classification in...
Automatic inference of a classification of words has been carried out by several researchers recentl...
227 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.In sum, this dissertation dea...