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» Linguistic Knowledge can Improve Information Retrieval
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ACL
2011
14 years 3 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
15 years 5 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
15 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
15 years 1 months 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
14 years 10 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...