Abstract The paper describes our approach for the Authorship Identification task at the PAN CLEF 2015. We extract textual patterns based on features obtained from shortest path walks over Integrated Syntactic Graphs (ISG). Then we calculate a similarity between the unknown document and the known

that seamlessly integrates visual and textual information for the task. It relies on linguistically and syntactically motivated mid-level textual patterns (or phrases) that are automati-cally extracted from available descriptions. At the time of retrieval, the given query is decomposed into such phrases

An individual can be referred by multiple name aliases on the web. Extracting aliases of a name is important in information retrieval, sentiment analysis and name disambiguation. We propose a novel approach to find aliases of a given name using automatically extracted lexical pattern based approach

textual data and extraction from the web are brought to light. These differences mainly concern the spatial arrangement of the text, the use of punctuation and the respect of traditional syntactic rules. The temporal expressions to be extracted are classified into two kinds: temporal information

, automatically extracted lexical pattern-based approach to efficiently extract a large set of candidate aliases from snippets retrieved from a web search engine. We define numerous ranking scores to evaluate candidate aliases using three approaches: lexical pattern frequency, word co-occurrences in an anchor

We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a large text corpus, as well as a number of Patterns extracted automatically from the same corpus. In order to recognize

Extended Dependency Graph as an intermedi-ate level of representation to abstract away syntactic variations. •We only use three basic EDG rules to extract PPI pairs in the sentences •We use two additional rules to increase the PPI passage detection. • High recall of 77.8 on 20 in-house full-text articles

retrieval, we propose to use shallow natural language processing and domain-specific design ontology to automatically construct a structured and semantics-based representation from unstructured design documents. The design concepts and relationships of the representation are recognized from the document

legacy queries and updates under schema and integrity constraints evolution. The PRISM/PRISM++ approach consists in providing the users with a set of SQL-based Schema Modification Opera-tors (SMOs), which describe how the tables in the old schema are modified into those in the new schema. In order to sup

Prüfungsbehörde vorgelegen. Darmstadt, den 17. Mai 2011 (Marcel Lucas) The popularity of Networked Virtual Environments (NVE) increased remarkably in recent years where a plethora of players participate concurrently. Traditional approaches applying the Client/Server pattern swiftly reach their limit in terms