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» Sequential Model Selection for Word Sense Disambiguation
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AIED
2009
Springer
14 years 2 months ago
Assessing Student Paraphrases Using Lexical Semantics and Word Weighting
We present in this paper an approach to assessing student paraphrases in the intelligent tutoring system iSTART. The approach is based on measuring the semantic similarity between ...
Vasile Rus, Mihai C. Lintean, Arthur C. Graesser, ...
JMLR
2012
11 years 9 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
ACL
1998
13 years 8 months ago
Combining Stochastic and Rule-Based Methods for Disambiguation in Agglutinative Languages
In this paper we present the results of the combination of stochastic and rule-based disambiguation methods applied to Basque languagel. The methods we have used in disambiguation...
Nerea Ezeiza, Iñaki Alegria, Jose Maria Arr...
EMNLP
2007
13 years 8 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan