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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.
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.
Leben mit Wölfen : Leitfaden für den Umgang mit einer konfliktträchtigen Tierart in Deutschland
(2007)
Der Wolf (Canis lupus) - eine der umstrittensten Tierarten Europas. Jahrhunderte lang wurde er in Europa verfolgt, in weiten Teilen Nord- und Mitteleuropas ausgerottet. Erst in den 1960er und 1970er Jahren, als die Bestände vielerorts ihren Tiefpunkt erreicht hatten, wurden ihm in einigen europäischen Ländern Schonzeiten oder auch ganzjähriger Schutz zugestanden. Allmählich begannen sich die Populationen in Italien und Spanien, aber auch in Polen zu erholen. In den letzten 20 Jahren kehrten Wölfe sogar wieder in Gegenden zurück, in denen sie vorher ausgerottet worden waren. Norditalien, Frankreich, die Schweiz, Schweden, Norwegen, Finnland und nun auch Deutschland sind solche neuen, alten Wolfsgebiete. Häufig wurde die Rückkehr der Wölfe mit gemischten Gefühlen aufgenommen. Von den Einen als Erfolg des Artenschutzes gefeiert, sahen andere darin einen Rückfall in längst vergangene Zeiten. Das Raubtier Wolf, so glauben viele, hat in unserer heutigen Kulturlandschaft keinen Platz mehr. Selbst Befürworter seiner Rückkehr sind oft unsicher, wie man mit dem nunmehr geschützten Heimkehrer umgehen sollte. Das Comeback der Wölfe und ihre Rückkehr in die unterschiedlichsten Lebensräume verdeutlicht einmal mehr ihre Flexibilität, stellt unsere hingegen auf eine Probe. Wölfe können fast überall leben, wo sie genügend Nahrung finden und wir sie leben lassen. Der einzige einschränkende Faktor scheint der Mensch zu sein. Entsprechend sind die Herausforderungen im Wolfsschutz weniger ökologischer, sondern vor allem soziologischer Natur. Pauschallösungen für den Umgang mit dem Wolf gibt es nicht. Je nach Gegebenheiten müssen jeweils eigene, angepasste Lösungen entwickelt werden. Die Vielseitigkeit der Wölfe und die unterschiedlichen soziologischen und ökologischen Bedingungen machen den Wolfsschutz zu einer einzigartigen Herausforderung.
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.
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)).
In this paper, we introduce an extension of the XMG system (eXtensibleMeta-Grammar) in order to allow for the description of Multi-Component Tree Adjoining Grammars. In particular, we introduce the XMG formalism and its implementation, and show how the latter makes it possible to extend the system relatively easily to different target formalisms, thus opening the way towards multi-formalism.
Multicomponent Tree Adjoining Grammars (MCTAG) is a formalism that has been shown to be useful for many natural language applications. The definition of MCTAG however is problematic since it refers to the process of the derivation itself: a simultaneity constraint must be respected concerning the way the members of the elementary tree sets are added. This way of characterizing MCTAG does not allow to abstract away from the concrete order of derivation. In this paper, we propose an alternative definition of MCTAG that characterizes the trees in the tree language of an MCTAG via the properties of the derivation trees (in the underlying TAG) the MCTAG licences. This definition gives a better understanding of the formalism, it allows a more systematic comparison of different types of MCTAG, and, furthermore, it can be exploited for parsing.
In this paper, we will argue for a novel analysis of the auxiliary alternation in Early English, its development and subsequent loss which has broader consequences for the way that auxiliary selection is looked at cross-linguistically. We will present evidence that the choice of auxiliaries accompanying past participles in Early English differed in several significant respects from that in the familiar modern European languages. Specifically, while the construction with have became a full-fledged perfect by some time in the ME period, that with be was actually a stative resultative, which it remained until it was lost. We will show that this accounts for some otherwise surprising restrictions on the distribution of BE in Early English and allows a better understanding of the spread of HAVE through late ME and EModE. Perhaps more importantly, the Early English facts also provide insight into the genesis of the kind of auxiliary selection found in German, Dutch and Italian. Our analysis of them furthermore suggests a promising strategy for explaining cross-linguistic variation in auxiliary selection in terms of variation in the syntactico-semantic structure of the perfect. In this introductory section, we will first provide some background on the historical situation we will be discussing, then we will lay out the main claims for which we will be arguing in the paper.
The period discussed in this work can be defined with absolute precision: it started on June 3, 1907, when the second Duma was dispersed, and ended on July 19, 1914 (August 1 in the Gregorian calendar), when the war against Germany and Austro-Hungary was proclaimed. This period followed right after the first Russian Revolution, which altered the regime: from unlimited autocracy it became half-parliamentary. Although the revolution was aborted and the tsarist government regained control, several important features characterized the period of 1907- 1914. First of all, there was the very existence of the State Duma – the elected lower house of the Parliament with legislative power; second, the establishment of voluntary associations was eased; third, preliminary censorship was abolished. Thus, public life was characterized by a degree of freedom, such as had never existed in Russia before 1905 and would not exist after October 1917. However, the freedom was relative and very narrow; the government tracked all oppositional or near-oppositional activities and did not hesitate to stop them. The basic tension and mutual suspicion between the authorities and society remained intact and eventually brought the collapse of the regime in 1917. But the revolution of February 1917 was not inevitable. In the period under discussion the interest in politics drastically declined, the Russian political forces became more moderate and the majority sought evolution, rather then revolution as the mechanism for change. ...