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This paper describes a new approach to improve the analysis and categorization of web documents using statistical methods for template based clustering as well as semantical analysis based on terminological ontologies. A domain-specific environment serves for prove of concept. In order to demonstrate the widespread practical benefit of our approach, we outline a combined mathematical and semantical framework for information retrieval on internet resources.
We present data-driven methods for the acquisition of LFG resources from two German treebanks. We discuss problems specific to semi-free word order languages as well as problems arising from the data structures determined by the design of the different treebanks. We compare two ways of encoding semi-free word order, as done in the two German treebanks, and argue that the design of the TiGer treebank is more adequate for the acquisition of LFG resources. Furthermore, we describe an architecture for LFG grammar acquisition for German, based on the two German treebanks, and compare our results with a hand-crafted German LFG grammar.
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
(2009)
In this paper we show that the extraction of opinions from free-text reviews can improve the accuracy of movie recommendations. We present three approaches to extract movie aspects as opinion targets and use them as features for the collaborative filtering. Each of these approaches requires different amounts of manual interaction. We collected a data set of reviews with corresponding ordinal (star) ratings of several thousand movies to evaluate the different features for the collaborative filtering. We employ a state-of-the-art collaborative filtering engine for the recommendations during our evaluation and compare the performance with and without using the features representing user preferences mined from the free-text reviews provided by the users. The opinion mining based features perform significantly better than the baseline, which is based on star ratings and genre information only.
Spoken language corpora— as used in conversation analytic research, language acquisition studies and dialectology— pose a number of challenges that are rarely addressed by corpus linguistic methodology and technology. This paper starts by giving an overview of the most important methodological issues distinguishing spoken language corpus workfrom the work with written data. It then shows what technological challenges these methodological issues entail and demonstrates how they are dealt with in the architecture and tools of the EXMARaLDA system.
Cette contribution discute différents enjeux dégagés lors d’une étude des pratiques professionnelles plurilingues : ces enjeux ont émergé d’une analyse menée collaborativement par deux équipes de chercheurs, à Lyon et à Paris, participant au projet européen DYLAN (6e programme cadre) et élaborant ensemble l’analyse empirique d’un extrait d’une réunion de travail, enregistrée dans le cadre d’une collaboration sur un même terrain. Cette analyse est l’occasion de thématiser de manière exemplaire un certain nombre de questions surgissant de l’étude des contacts des langues dans les contextes professionnels, concernant aussi bien les enjeux épistémologiques que l'engagement du chercheur sur le terrain.
From Proof Texts to Logic. Discourse Representation Structures for Proof Texts in Mathematics
(2009)
We present an extension to Discourse Representation Theory that can be used to analyze mathematical texts written in the commonly used semi-formal language of mathematics (or at least a subset of it). Moreover, we describe an algorithm that can be used to check the resulting Proof Representation Structures for their logical validity and adequacy as a proof.
In this paper we present an approach to faceted search in large language resource repositories. This kind of search which enables users to browse through the repository by choosing their personal sequence of facets heavily relies on the availability of descriptive metadata for the objects in the repository. This approach therefore informs the collection of a minimal set of metatdata for language resources. The work described in this paper has been funded by the EC within the ESFRI infrastructure project CLARIN.
2008. godā tyka veikts pietejums, kura golvonais mierkis beja raksturuot niulenejū latgalīšu volūdys lūmu izgleiteibys sistemā. Itys roksts prezeņtej byutiskuokūs pietejuma rezultatus. Pietejuma īrūsme sajimta nu „Mercator Education Centre“ (Merkatora izgleiteibys centra), kas dorbojās Nīderlaņdē Ļuvortā (frīzu volūdā — Ljouwert), Frīzejis proviņcis golvyspiļsātā. Piļneigs pietejuma izvārsums ar Merkatora izgleiteibys centra atbolstu publicāts izdavumu serejā „Regional Dossier Series“ (Regionalūs dosje sereja) angļu volūdā. Itys roksts golvonom kuortom dūmuots taidam adresatam, kas mozuok ir saisteits ar Eiropys volūdu izpietis institucejom i kam roksti angļu volūdā var saguoduot izpratnis voi atrasšonys gryuteibys. Partū pietejuma suokumā teik dūts seikuoks metožu i mierķu raksturuojums, paskaidrojūt pietejuma strukturu i rezultatu apkūpuojuma veidu, kai ari dūts puorskots par latgalīšu volūdys lūmu myusdīnu izgleiteibys sistemā. Sacynuojumūs ir īzeimātys nuokūtnis perspektivis i prīšklykumi dabuotūs rezultatu izmontuojumam.