- Paraphrase Extraction Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman (2005)
- Acknowledgement This research begun while I was working at the department of Computational Lin
- Advanced Topics in IEAdvanced Topics in IE Gnter Neumann & Feiyu XuGnter Neumann & Feiyu Xu
- Applying Explanationbased Learning to Control and Speedingup Natural Language Generation
- POPEL-HOW: A Distributed Parallel Model for Incremental Natural Language Production with Feedback
- Maschinelle Lernverfahren
- DomainAdaptive Information Extraction unter Neumann and Thierry Declerck 1
- Course: Intelligent Information Extraction Neumann & Xu
- GETESS: Constructing a Linguistic Search Index for an Internet Search Engine
- Lecture 3.1:Lecture 3.1: Machine Learning for NamedMachine Learning for Named
- DFKI's LT-lab at the CLEF 2005 Multiple Language Question Answering Track
- DILIA -A DIGITAL LIBRARY ASSISTANT A new approach to information discovery through information extraction and
- BioCreAtIvE critical assessment of information
- Expressing Implicit Semantic Relations without Supervision
- Extracting Supertags from HPSG-based Tree Banks Gunter Neumann and Berthold Crysmann
- Recognizing Textual Entailment Using a Subsequence Kernel Method Rui Wang and Gnter Neumann
- An Integrated Architecture for Shallow and Deep Processing Berthold Crysmann, Anette Frank, Bernd Kiefer, Stefan Muller,
- An Divide-and-Conquer Strategy for Recognizing Textual Entailment Saarland University
- Experiments on Robust NL Question Interpretation and Multi-layered Document
- A Uniform Computational Model for Natural Language Parsing and Generation
- 372:Comparing the Benefit of Different Dependency Parsers for Textu-al Entailment Using Syntactic Constraints Only
- Combining Deterministic Dependency Parsing and Linear Classifica-tion for Robust RTE
- arXiv:cmp-lg/9507007v121Jul1995 cmp-lg/950700721Jul1995 An E cient Algorithm for Surface Generation
- A Cascaded Shallow Approach to Reference Resolution Thierry Declerck and Gunter Neumann
- A Fast Realization of a Classification--Based Approach to Morphology
- Curriculum Vitae PD Dr. Gunter Neumann
- Exploring HPSG-based Treebanks for Probabilistic Parsing Gunter Neumann and Berthold Crysmann
- Syntactic Generation Gertjan van Noord & Gnter Neumann
- Interleaving Natural Language Parsing and Generation
- Introduction to Information Extraction Technology A Tutorial Prepared for IJCAI-99
- Intelligent InformationIntelligent Information ExtractionExtraction
- Combining term extraction and topic word detection for text categorization | a natural language processing
- Semantic Similarity Seminar: Current Trend in Information Extraction
- Jol Wagner, May 10, 2005 Towards a Head-Driven Data Oriented Approach to Lexical Dependency -p. 1 Data-Oriented Parsing
- Automatising the Learning of Lexical Patterns: an Application to the Enrichment of
- Interactive Dynamic Information Extraction Kathrin Eichler, Holmer Hemsen, Markus Lockelt, Gunter Neumann,
- DiLiA The Digital Library Assistant Kathrin Eichler, Holmer Hemsen, Gnter Neumann, Norbert Reithinger, Sven
- A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content
- Using a Parameterizable and DomainAdaptive Information Extraction System for Annotating LargeScale Corpora?
- Message Understanding Conference 6: A Brief History
- Bootstrapping Noun Groups Using Closed-Class Elements Only Kathrin Eichler
- Mining Answers in German Web Pages Gnter Neumann and Feiyu Xu
- Wikipedia Mining: Some Backgrounds
- Advanced TopicsAdvanced Topics Applications of IEApplications of IE
- The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
- 1 Textbasiertes Informationsmanagement Gunter Neumann, LT lab, DFKI, Saarbrucken
- Introduction Wikipedia Revision History Applications Conclusions References Mining Wikipedia's
- DFKI-LT at the CLEF 2006 Multiple Language Question Answering Track
- Domain Adaptive IEDomain Adaptive IE
- Working Paper Series ISSN 1177-777X
- TThhee QQAALLLL--MMEE AArrcchhiitteeccttuurree DDeessiiggnn IIssssuueess aanndd QQAA FFrraammeewwoorrkk
- DESIGN PRINCIPLES OF THE DISCO Gunter Neumann
- Strategies for Web-based Cross-Language Question Answering 1
- Please cite this article in press as: . Ferrndez, et al., The QALL-ME Framework: A specifiable-domain multilingual Question Answering archi-, Web Semantics: Sci. Serv. Agents World Wide Web (2011), doi:10.1016/j.websem.2011.01.002
- Automatic Detection and Correction of Errors in Dependency Tree-Alexander Volokh
- Unsupervised and domain-independent extraction of technical terms from scientific articles in digital libraries
- Genetic Algorithms for data-driven Web Question Answering
- FINDING DISTINCT ANSWERS IN WEB SNIPPETS Alejandro Figueroa, Gunter Neumann
- DFKI2: An Information Extraction Based Approach to People Disambiguation
- Mining Web Snippets to Answer List Questions Alejandro Figueroa Gunter Neumann
- Experiments on CrossLinguality and QuestionType Driven Strategy Selection for
- Cross-Cutting Aspects Cross-Language Question Answering Systems
- A Hybrid Machine Learning Approach to Information Extraction
- Mining Natural Language Answers from the Web Gnter Neumann and Feiyu Xu1
- Introduction to Data-Oriented Rens Bod, Remko Scha and Khalil Sima'an (eds.)
- An Integrated Architecture for Shallow and Deep Processing Berthold Crysmann, Anette Frank, Bernd Kiefer, Hans-Ulrich Krieger, Stefan Muller,
- Bootstrapping an Ontology-based Information Extraction System
- A Shallow Text Processing Core Engine Gunter Neumann, Jakub Piskorski
- WHITEBOARD -Eine XML-basierte Architektur fr die Analyse natrlichsprachlicher Texte
- Informationsextraktion Dr. Gunter Neumann
- In this paper, we present first results we achieved and experiences we had combining
- Report from Working Group 2: Lexicalization and Architecture Group Members: Robert Dale, Wolfgang Finkler, Richard Kittredge, Nils Lenke,
- Diplomarbeit Ein minimal berwachtes Verfahren
- InformationInformation ExtractionExtraction forfor BiologyBiology
- Information extraction A shallow parser based
- Information Extraction Seminar Biological Named Entity Recognizer
- Effective Adaptation of a HMM-based NER for Biomedical Domain
- Finding All Cliques of an Undirected Graph Seminar ,,Current Trends in IE" WS 06/07
- Preemptive & On-Demand IE Andrea Heyl
- Language Independent Answer Prediction from the Web
- Dafydd Jones 17 May 2005
- Explanation-based Learning (EBL)
- Intelligent InformationIntelligent Information ExtractionExtraction
- A Bag of Useful Techniques for Unification-Based Finite-State Transducers
- Integrating Shallow and Deep NLP for Information Extraction Feiyu Xu and Hans-Ulrich Krieger
- Extraction Patterns for Information Extraction Tasks: A Survey Information Sciences Institute and Department of Computer Science
- Computing Semantic Relatedness Semantic Relatedness in WordNet Semantic Relatedness in WikiPedia Experiments SenseRelate and WikiRelate
- Seminar: WikiPedia Mining WS 2009/2010
- Semantic Relatedness Word Sense Disambiguation (WSD) Intermission Link Detection Evaluation References Link Learning with Wikipedia
- Wikipedia Mining Disambiguation of named entities using
- Query Expansion Joo-Eun Feit
- University of Saarland Wikipedia Mining
- Using Wikipedia and Wiktionary in Domain-Specific Information Retrieval
- 11.01.2007NikoFelger ExtractingComplexRelations
- Robust Natural Language Text Processing with of smes
- Gerald Schoch Saarland University
- POPEL---HOW: Parallele, inkrementelle Generierung naturlichsprachlicher
- Domainadaptive Information Extraction (Draft Version)
- Customizing GermaNet for the Use in Deep Linguistic Processing Melanie Siegel
- Named Entity Recognition Deriving NE-annotated Corpora from Wikipedia
- A CrossLanguage Question/AnsweringSystem for German and English
- HPSGDOP: dataoriented parsing with HPSG Gunter Neumann
- Automatic Content Akira KAKINOHANA
- Relation Extraction from Wikipedia Text Relation Extraction
- GETESS -Ontologien, Objektrelationale Datenbanken und Textanalyse Datenbank-Spektrum 1 1
- Cross-linguales Frage-Antwort-System Algorithmische Methoden
- In Proceedings of the 19th International Conference on Computational Linguistics (COLING 2002) Unsupervised Learning of Generalized Names
- A Wikipedia-Based Multilingual Retrieval Model Martin Potthast, Benno Stein, and Maik Anderka
- Wikipedia Mining 1 Ontology Extraction
- Paraphrase Extraction ,,Paraphrase Substitution for Recognizing Textual Entailment"
- Artificial Intelligence 118 (2000) 1568 Wrapper induction
- Using MT-Based Metrics for RTE Alexander Volokh Gnter Neumann
- Interactive Topic Graph Extraction and Exploration of Web Content
- A Platform for Named Entity Processing Jens Illig, Charles La Rosse, Iliana Simova, Dominikus Wetzel
