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» Linguistic Knowledge can Improve Information Retrieval
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ACL
2011
13 years 2 months ago
They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems
Despite the rising interest in developing grammatical error detection systems for non-native speakers of English, progress in the field has been hampered by a lack of informative...
Nitin Madnani, Martin Chodorow, Joel R. Tetreault,...
AMTA
2004
Springer
14 years 4 months ago
Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
Necip Fazil Ayan, Bonnie J. Dorr, Nizar Habash
SEMWEB
2007
Springer
14 years 5 months ago
A Fuzzy Ontology-Approach to improve Semantic Information Retrieval
This paper shows how a Fuzzy Ontology based approach can improve semantic documents retrieval. After formally defining a Fuzzy Knowledge Base, it is discussed a special type of ne...
Silvia Calegari, Elie Sanchez
EMNLP
2008
14 years 10 days ago
Integrating Multi-level Linguistic Knowledge with a Unified Framework for Mandarin Speech Recognition
To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...
CIKM
2010
Springer
13 years 9 months ago
Rank learning for factoid question answering with linguistic and semantic constraints
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...