Multilingual Information Access Evaluation I. Text Retrieval Experiments 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers /

The tenth campaign of the Cross Language Evaluation Forum (CLEF) for European languages was held from January to September 2009. There were eight main eval- tion tracks in CLEF 2009 plus a pilot task. The aim, as usual, was to test the perfo- ance of a wide range of multilingual information access (...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Peters, Carol (Επιμελητής έκδοσης), Nunzio, Giorgio Maria Di (Επιμελητής έκδοσης), Kurimo, Mikko (Επιμελητής έκδοσης), Mandl, Thomas (Επιμελητής έκδοσης), Mostefa, Djamel (Επιμελητής έκδοσης), Peñas, Anselmo (Επιμελητής έκδοσης), Roda, Giovanna (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Computer Science, 6241
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • What Happened in CLEF 2009
  • What Happened in CLEF 2009
  • I: Multilingual Textual Document Retrieval (AdHoc)
  • CLEF 2009 Ad Hoc Track Overview: TEL and Persian Tasks
  • CLEF 2009 Ad Hoc Track Overview: Robust-WSD Task
  • Evaluating Cross-Language Explicit Semantic Analysis and Cross Querying
  • Document Expansion, Query Translation and Language Modeling for Ad-Hoc IR
  • Smoothing Methods and Cross-Language Document Re-ranking
  • Cross-Language Information Retrieval Using Meta-language Index Construction and Structural Queries
  • Sampling Precision to Depth 10000 at CLEF 2009
  • Multilingual Query Expansion for CLEF Adhoc-TEL
  • Experiments with N-Gram Prefixes on a Multinomial Language Model versus Lucene’s Off-the-Shelf Ranking Scheme and Rocchio Query Expansion (TEL@CLEF Monolingual Task)
  • Evaluation of Perstem: A Simple and Efficient Stemming Algorithm for Persian
  • Ad Hoc Retrieval with the Persian Language
  • Ad Hoc Information Retrieval for Persian
  • Combining Probabilistic and Translation-Based Models for Information Retrieval Based on Word Sense Annotations
  • Indexing with WordNet Synonyms May Improve Retrieval Results
  • UFRGS@CLEF2009: Retrieval by Numbers
  • Evaluation of Axiomatic Approaches to Crosslanguage Retrieval
  • UNIBA-SENSE @ CLEF 2009: Robust WSD Task
  • Using WordNet Relations and Semantic Classes in Information Retrieval Tasks
  • Using Semantic Relatedness and Word Sense Disambiguation for (CL)IR
  • II: Multiple Language Question Answering (QA@CLEF)
  • Overview of ResPubliQA 2009: Question Answering Evaluation over European Legislation
  • Overview of QAST 2009
  • GikiCLEF: Expectations and Lessons Learned
  • NLEL-MAAT at ResPubliQA
  • Question Answering on English and Romanian Languages
  • Studying Syntactic Analysis in a QA System: FIDJI @ ResPubliQA’09
  • Approaching Question Answering by Means of Paragraph Validation
  • Information Retrieval Baselines for the ResPubliQA Task
  • A Trainable Multi-factored QA System
  • Extending a Logic-Based Question Answering System for Administrative Texts
  • Elhuyar-IXA: Semantic Relatedness and Cross-Lingual Passage Retrieval
  • Are Passages Enough? The MIRACLE Team Participation in QA@CLEF2009
  • The LIMSI Participation in the QAst 2009 Track: Experimenting on Answer Scoring
  • Robust Question Answering for Speech Transcripts: UPC Experience in QAst 2009
  • Where in the Wikipedia Is That Answer? The XLDB at the GikiCLEF 2009 Task
  • Recursive Question Decomposition for Answering Complex Geographic Questions
  • GikiCLEF Topics and Wikipedia Articles: Did They Blend?
  • TALP at GikiCLEF 2009
  • Semantic QA for Encyclopaedic Questions: EQUAL in GikiCLEF
  • Interactive Probabilistic Search for GikiCLEF
  • III: Multilingual Information Filtering (INFILE)
  • Information Filtering Evaluation: Overview of CLEF 2009 INFILE Track
  • Batch Document Filtering Using Nearest Neighbor Algorithm
  • UAIC: Participation in INFILE@CLEF Task
  • Multilingual Information Filtering by Human Plausible Reasoning
  • Hossur’Tech’s Participation in CLEF 2009 INFILE Interactive Filtering
  • Experiments with Google News for Filtering Newswire Articles
  • IV: Intellectual Property (CLEF-IP)
  • CLEF-IP 2009: Retrieval Experiments in the Intellectual Property Domain
  • Exploring Structured Documents and Query Formulation Techniques for Patent Retrieval
  • Formulating Good Queries for Prior Art Search
  • UAIC: Participation in CLEF-IP Track
  • PATATRAS: Retrieval Model Combination and Regression Models for Prior Art Search
  • NLEL-MAAT at CLEF-IP
  • Simple Pre and Post Processing Strategies for Patent Searching in CLEF Intellectual Property Track 2009
  • Prior Art Search Using International Patent Classification Codes and All-Claims-Queries
  • UTA and SICS at CLEF-IP’09
  • Searching CLEF-IP by Strategy
  • UniNE at CLEF-IP 2009
  • Automatically Generating Queries for Prior Art Search
  • Patent Retrieval Experiments in the Context of the CLEF IP Track 2009
  • Prior Art Retrieval Using the Claims Section as a Bag of Words
  • UniGE Experiments on Prior Art Search in the Field of Patents
  • V: Logfile Analysis (LogCLEF)
  • LogCLEF 2009: The CLEF 2009 Multilingual Logfile Analysis Track Overview
  • Identifying Common User Behaviour in Multilingual Search Logs
  • A Search Engine Based on Query Logs, and Search Log Analysis by Automatic Language Identification
  • Identifying Geographical Entities in Users’ Queries
  • Search Path Visualization and Session Performance Evaluation with Log Files
  • User Logs as a Means to Enrich and Refine Translation Dictionaries
  • VI: Grid Experiments (GRID@CLEF)
  • CLEF 2009: Grid@CLEF Pilot Track Overview
  • Decomposing Text Processing for Retrieval: Cheshire Tries GRID@CLEF
  • Putting It All Together: The Xtrieval Framework at Grid@CLEF 2009
  • VII: Morphochallenge
  • Overview and Results of Morpho Challenge 2009
  • MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
  • Unsupervised Morpheme Analysis with Allomorfessor
  • Unsupervised Morphological Analysis by Formal Analogy
  • Unsupervised Word Decomposition with the Promodes Algorithm
  • Unsupervised Morpheme Discovery with Ungrade
  • Clustering Morphological Paradigms Using Syntactic Categories
  • Simulating Morphological Analyzers with Stochastic Taggers for Confidence Estimation
  • A Rule-Based Acquisition Model Adapted for Morphological Analysis
  • Morphological Analysis by Multiple Sequence Alignment.