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 (...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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| 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.
