[PDF] Top 20 Learning Corpus Patterns Using Finite State Automata
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Learning Corpus Patterns Using Finite State Automata
... different patterns, for example abandon practice and abandon prin- ciple, which generates HUMAN abandon NORMATIVE ATTRIBUTE (see Table 1 and Table ...the patterns for that ... See full document
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Extraction and Recognition of Polish Multiword Expressions using Wikipedia and Finite State Automata
... The patterns are saved with their grammatical forms (case and number) in which they occurred in text – this results in a large database of pattern ...the patterns and to extract their syntactic ...multiple ... See full document
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PAC-learnability of Probabilistic Deterministic Finite State Automata
... robust learning of general (non-deterministic) finite state au- tomata is ...Residual Finite State Automata (Esposito et ...PAC-learnable using polynomial ...of ... See full document
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Active Coevolutionary Learning of Deterministic Finite Automata
... others using input data generated without recourse to a partial model of the ...active learning approaches outperform passive methods: active methods have more control over the collection of training ... See full document
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Finite State Registered Automata for Non Concatenative Morphology
... For example, combining the Hebrew stem pqd with the circumfix ht-ut will have the 4-level representation shown in Figure 4. Notice that the symbols representing the circumfix in the PR pattern level (i.e., the ... See full document
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Language Independent Transliteration Mining System Using Finite State Automata Framework
... only using the bilingual resources (about 15k par- allel names) provided for the shared ...names corpus to complement the machine transliteration ... See full document
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Enhanced Walksat with Finite Learning Automata For MAX SAT
... Overview: In addition to the definition of the LA, we must define the environment that the LA interacts with. Simply put, the environment is a MAX-SAT problem instance as defined in Section 1. Each variable of the ... See full document
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Mining Multiple Web Sources Using Non-Deterministic Finite State Automata
... The learning algorithm works as FOIL, starting with entire set of examples and adds predicates greedily to cover as many positive examples and as few negative examples as ... See full document
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String Kernels, Fisher Kernels and Finite State Automata
... A problem that we have observed when experimenting with the n-gram model is that if we estimate the frequencies of transitions from the corpus certain transitions can become very frequent while others from the ... See full document
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Using Vectors of Features for Finite State Automata Dataset Reduction
... The graph depiction that set of nodes and links between nodes allow practice of mining algorithm. Graph-based data mining has two major approaches: frequent subgraph mining and graph relational data [2].The center of ... See full document
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Bridging CNNs, RNNs, and Weighted Finite State Machines
... our patterns encode semantically coherent expres- ...our patterns are relatively soft, and allow lexical ...some patterns do seem to fix specific words, ...jointly learning the word vectors, ... See full document
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E Dictionaries and Finite State Automata for the Recognition of Named Entities
... and finite-state ...expressions. Finite-state automata are used to describe the context of named enti- ties, thus improving the precision of recog- ...a corpus of 2,300 short ... See full document
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Adaptive Importance Sampling from Finite State Automata
... We have presented an adaptive importance sam- pler that can be used to approximate expected val- ues taken over the languages of probabilistic reg- ular tree automata. These values play a central role in many ... See full document
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Compiling Regular Formalisms with Rule Features into Finite State Automata
... R5 is the gemination rule; it is only triggered if the given rule features are satisfied: [cat=verb] for the first lexical element i.e., the pattern and [measure=pa"el] for the second el[r] ... See full document
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Text Disambiguation by Finite State Automata, An Algorithm and Experiments on Corpora
... TEXT DISAMBIGUATION BY FINITE STATE AUTOMATA, AN ALGORITHM AND EXPERIMENTS ON CORPORA T E X T D I S A M B I G U A T I O N BY F I N I T E S T A T E A U T O M A T A , AN A L G O R I T H M AND E X P E R[.] ... See full document
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Simpler and More General Minimization for Weighted Finite State Automata
... NLP automata use the real semiring ( R , +, ×), or its log equivalent, to compute unnormalized probabilities or other scores outside the range [0, 1] (Laf- ferty et ... See full document
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The intersection of Finite State Automata and Definite Clause Grammars
... Most existing constraint-based parsing algorithms will terminate for grammars that exhibit the property that for each string there is only a finite number of possible derivations.. Note [r] ... See full document
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Incremental construction of minimal acyclic finite state automata
... Assum- ing the input dictionary has only reachable states that is, Reachable is true, we can deduce by our alternative definition of minimality that each state in the minimal dictionary [r] ... See full document
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An Interaction Between User and an Augmented Reality System using A Generalized Finite State Automata and A Universal Turing Machine
... build finite state automata that can accept the word ...generalized finite state automata as automata that can read the input of the marker's string ...Generalized ... See full document
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A model of rainfall based on finite state cellular automata
... The starting cells are clearly not random, and the system takes a number of iterations to reach a state of SOC. The top right hand corner of Figure 1 is the same model 1000 time steps later. The linear starting ... See full document
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