Generative models of music are in need of performance and gesture additions, i.e. inclusions of subtle temporal and dynamic alterations, and gestures so as to render the music musical. While much of the research regarding music generation is based on music theory, the work presented here is based on the temporal perception, which is divided into three parts, the immediate (subchunk), the short-...

We investigated the performance efficacy of beam search parsing and deep parsing techniques in probabilistic HPSG parsing using the Penn treebank. We first tested the beam thresholding and iterative parsing developed for PCFG parsing with an HPSG. Next, we tested three techniques originally developed for deep parsing: quick check, large constituent inhibition, and hybrid parsing with a CFG chun...

This paper presents Latch; a system for PoS disambiguation and partial parsing that has been developed for Spanish. In this system, chunks can be recognized and can be referred to like ordinary words in the disambiguation process. This way, sentences are simplified so that the disambiguator can operate interpreting a chunk as a word and chunk head information as a word analysis. This interactio...

This paper describes a HMM-based chunk tagger and its extensions used in KRDL for the shared task of CoNLL'2000. Compared with standard HMM-based tagger, this tagger incorporates more contextual information into a lexical entry. Moreover, an error-driven learning approach is adopted to decrease the memory requirement. It keeps only positive lexical entries which contribute to the error reductio...

Free text notes typed by primary care physicians during patient consultations typically contain highly non-canonical language. Shallow syntactic analysis of free text notes can help to reveal valuable information for the study of disease and treatment. We present an exploratory study into chunking such text using offthe-shelf language processing tools and pre-trained statistical models. We eval...

Status of This Memo This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited. Abstract This document describes a new ch...

In the analysis more specifically in classification of continuous data stream using machine learning algorithms joint occurrence concept drift and imbalanced issue becomes provocative. Also, imbalance is again challenging when multi-class with minority class that too data-difficulty factors. Incremental ensemble models found promising handling theses issues. But most approaches are for two-clas...

Chinese chunking has traditionally been solved by assuming gold standard word segmentation. We find that the accuracies drop drastically when automatic segmentation is used. Inspired by the fact that chunking knowledge can potentially improve segmentation, we explore a joint model that performs segmentation, POStagging and chunking simultaneously. In addition, to address the sparsity of full ch...

We model the problem of disfluency detection using a transition-based framework, which incrementally constructs and labels the disfluency chunk of input sentences using a set of transition actions without syntax information. Compared with sequence labeling methods, it can capture non-local chunk-level features; compared with joint parsing and disfluency detection methods, it is free for noise i...