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The taxonomy, diversity, and distribution of the aquatic insect order Trichoptera, caddisflies, are reviewed. The order is among the most important and diverse of all aquatic taxa. Larvae are vital participants in aquatic food webs and their presence and relative abundance are used in the biological assessment and monitoring of water quality. The species described by Linnaeus are listed. The morphology of all life history stages (adults, larvae, and pupae) is diagnosed and major features of the anatomy are illustrated. Major components of life history and biology are summarized. A discussion of phylogenetic studies within the order is presented, including higher classification of the suborders and superfamilies, based on recent literature. Synopses of each of 45 families are presented, including the taxonomic history of the family, a list of all known genera in each family, their general distribution and relative species diversity, and a short overview of family-level biological features. The order contains 600 genera, and approximately 13,000 species.
This study analyzes storyline structure in three Hausa home videos; Mai Kudi (The Rich Man), Sanafahna (with time truth shall dawn) and Albashi (Salary). The study measures storyline structure in these films against a Hollywood film industry model of story writing “the Hero's Journey”. It uses narrative analysis as its analytical tool, and narrative theory as its framework. After analyzing these videos, the study found that the major elements of storyline structure in Vogler's model formed the framework of the storyline structure in Hausa home videos analyzed. However, in spite of the preponderance of these elements within the storyline structure, there are significant variations to Vogler's model. Specifically, Vogler's model has some twelve stages spread on the universal structure of storytelling, i.e. beginning, middle and end. Few of these stages were found to exist in Hausa narrative structure, perhaps due to cultural differences between Western, Indian and Hausa cultures. The study therefore recommends screenwriters and producers to be aware of the existence of standard models of scriptwriting. It also recommends more training for script writers in the Hausa film industry.
Another accruing and evolving collection holding published university documents (documents made publicly available) and non-official institutional records, plus 'grey literature' and ephemera relating to UB and its forerunner institutions. It includes documents harvested from UB Website. This is an artificially created collection. Some of these records may also exist in the homogenous institutional archive collections and in the BDSC.
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in 2006, the shared task has been devoted to dependency parsing, this year with both a multilingual track and a domain adaptation track. In this paper, we define the tasks of the different tracks and describe how the data sets were created from existing treebanks for ten languages. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
Recent approaches to Word Sense Disambiguation (WSD) generally fall into two classes: (1) information-intensive approaches and (2) information-poor approaches. Our hypothesis is that for memory-based learning (MBL), a reduced amount of data is more beneficial than the full range of features used in the past. Our experiments show that MBL combined with a restricted set of features and a feature selection method that minimizes the feature set leads to competitive results, outperforming all systems that participated in the SENSEVAL-3 competition on the Romanian data. Thus, with this specific method, a tightly controlled feature set improves the accuracy of the classifier, reaching 74.0% in the fine-grained and 78.7% in the coarse-grained evaluation.
Prepositional phrase (PP) attachment is one of the major sources for errors in traditional statistical parsers. The reason for that lies in the type of information necessary for resolving structural ambiguities. For parsing, it is assumed that distributional information of parts-of-speech and phrases is sufficient for disambiguation. For PP attachment, in contrast, lexical information is needed. The problem of PP attachment has sparked much interest ever since Hindle and Rooth (1993) formulated the problem in a way that can be easily handled by machine learning approaches: In their approach, PP attachment is reduced to the decision between noun and verb attachment; and the relevant information is reduced to the two possible attachment sites (the noun and the verb) and the preposition of the PP. Brill and Resnik (1994) extended the feature set to the now standard 4-tupel also containing the noun inside the PP. Among many publications on the problem of PP attachment, Volk (2001; 2002) describes the only system for German. He uses a combination of supervised and unsupervised methods. The supervised method is based on the back-off model by Collins and Brooks (1995), the unsupervised part consists of heuristics such as ”If there is a support verb construction present, choose verb attachment”. Volk trains his back-off model on the Negra treebank (Skut et al., 1998) and extracts frequencies for the heuristics from the ”Computerzeitung”. The latter also serves as test data set. Consequently, it is difficult to compare Volk’s results to other results for German, including the results presented here, since not only he uses a combination of supervised and unsupervised learning, but he also performs domain adaptation. Most of the researchers working on PP attachment seem to be satisfied with a PP attachment system; we have found hardly any work on integrating the results of such approaches into actual parsers. The only exceptions are Mehl et al. (1998) and Foth and Menzel (2006), both working with German data. Mehl et al. report a slight improvement of PP attachment from 475 correct PPs out of 681 PPs for the original parser to 481 PPs. Foth and Menzel report an improvement of overall accuracy from 90.7% to 92.2%. Both integrate statistical attachment preferences into a parser. First, we will investigate whether dependency parsing, which generally uses lexical information, shows the same performance on PP attachment as an independent PP attachment classifier does. Then we will investigate an approach that allows the integration of PP attachment information into the output of a parser without having to modify the parser: The results of an independent PP attachment classifier are integrated into the parse of a dependency parser for German in a postprocessing step.
We investigate methods to improve the recall in coreference resolution by also trying to resolve those definite descriptions where no earlier mention of the referent shares the same lexical head (coreferent bridging). The problem, which is notably harder than identifying coreference relations among mentions which have the same lexical head, has been tackled with several rather different approaches, and we attempt to provide a meaningful classification along with a quantitative comparison. Based on the different merits of the methods, we discuss possibilities to improve them and show how they can be effectively combined.
This paper presents an LTAG analysis of reflexives like himself and reciprocals like each other. These items need to find a c-commanding antecedent from which they retrieve (part of) their own denotation and with which they syntactically agree. The relation between anaphoric item and antecendent must satisfy the following important locality conditions (Chomsky (1981)).
Children […] growing up with highly inflected languages such as Modern Greek will frequently hear different grammatical forms of a given lexeme used in different grammatical and semantic-pragmatic contexts. In spite of the fact that the Greek noun is not as highly inflected as the verb, acquisition of nominal inflection of this inflecting-fusional language is quite complex, comprising the three categories of case, number, and gender. As is usual in this type of language, the formation of case-number forms obeys different patterns that apply to largely arbitrary classes of nominal lexemes partially based on gender. Further, frequency of the occurrence of the three gender classes and case-number forms of nouns greatly differs in spoken Greek, regarding both the types and tokens. […] [A] child learning an inflecting-fusional language like Greek must construct different inflectional patterns depending not only on parts of speech but also on subclasses within a given part of speech, such as gender classes of nouns and inflectional classes within or (exceptionally) across genders. It is therefore to be expected that the early development of case and number distinctions will apply to specific nouns and subclasses of nouns rather than the totality of Greek nouns. The two main theoretical approaches of morphological development that will be discussed in the present paper are the usage-based approach and the pre- and protomorphology approach.