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NLP
2000
15 years 10 months ago
Enhancing Preference-Based Anaphora Resolution with Genetic Algorithms
Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
Constantin Orasan, Richard Evans, Ruslan Mitkov
ICASSP
2011
IEEE
14 years 10 months ago
cROVER: Improving ROVER using automatic error detection
Recognizer Output Voting Error Reduction (ROVER), is a well-known procedure for decoders’ combination aiming at reducing the Word Error Rate (WER) in transcription applications....
Kacem Abida, Fakhri Karray, Wafa Abida
NLPRS
2001
Springer
15 years 11 months ago
Modality Expressions in Japanese and Their Automatic Paraphrasing
It is important for future NLP systems to formulate the semantic equivalence (and more generally, the semantic similarity) of natural language expressions. In particular, paraphra...
Toshifumi Tanabe, Kenji Yoshimura, Kosho Shudo
FOAL
2007
ACM
15 years 10 months ago
Aspects and modular reasoning in nonmonotonic logic
Nonmonotonic logic is a branch of logic that has been developed to model situations with incomplete information. We argue that there is a connection between AOP and nonmonotonic l...
Klaus Ostermann
FINTAL
2006
15 years 10 months ago
Paraphrase Identification on the Basis of Supervised Machine Learning Techniques
Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
Zornitsa Kozareva, Andrés Montoyo