[PDF] Top 20 A Connectionist Architecture for Learning to Parse
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A Connectionist Architecture for Learning to Parse
... Just as SRNs' ability to input arbitrarily long sentences was symptomatic of their ability to generalize over sentence position, the ability of SSNs to output information about arbitrari[r] ... See full document
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A Connectionist Architecture for Learning to Parse
... A Connectionist Architecture for Learning to Parse A C o n n e c t i o n i s t A r c h i t e c t u r e for L e a r n i n g t o P a r s e J a m e s H e n d e r s o n a n d P e t e r L a n e D e p t o f[.] ... See full document
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Learning to Parse and Translate Improves Neural Machine Translation
... The learning rate starts from ...the learning rate of stochastic gradient descent and reloaded the previous ...pendency parse tree which consists of the gener- ated target words by the ...complete ... See full document
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Active learning for HPSG parse selection
... Active learning has been successfully applied to a number of natural language oriented tasks, including text categorization (Lewis and Gale, 1994) and part-of-speech tagging (Engelson and Dagan, ...active ... See full document
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FeasPar A Feature Structure Parser Learning to Parse Spoken Language
... FeasPar A Feature Structure Parser Learning to Parse Spoken Language F e a s P a r A F e a t u r e S t r u c t u r e P a r s e r L e a r n i n g t o P a r s e S p o k e n L a n g u a g e F i n n D a g[.] ... See full document
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Ensemble based Active Learning for Parse Selection
... Active learning (AL) promises to help reduce this annotation ...HPSG parse selection, we show that ideas from ensemble learning can help further reduce the cost of ... See full document
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Learning to parse with IAA weighted loss
... Syntactic annotation disagreement has typically been studied in the context of treebank develop- ment. Haverinen et al. (2012), for example, ana- lyze annotator disagreement for Finnish dependency syntax, and compare it ... See full document
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Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World
... simultaneously learning (1) to map from environments to logical knowledge bases containing instances of both one-argument categories and two-argument relations, and (2) to semantically parse natural ... See full document
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A Comparison of Structural Correspondence Learning and Self training for Discriminative Parse Selection
... So far, Structural Correspondence Learning has been applied successfully to PoS tagging and Sen- timent Analysis (Blitzer et al., 2006; Blitzer et al., 2007). An attempt was made in the CoNLL 2007 shared task to ... See full document
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Learning to Parse Bilingual Sentences Using Bilingual Corpus and Monolingual CFG
... for learning to parse a bilingual sentence using Inversion Transduction Grammar trained on a parallel corpus and a monolingual ...a parse tree for a bilingual sentence, showing the shared syntactic ... See full document
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Fractal Unfolding: A Metamorphic Approach to Learning to Parse Recursive Structure
... Fractal Learning Neural Net- work (FLNN) becomes able to process deeper and deeper levels at an accelerating rate such that, after finite time, it reaches a point where it is effectively processing all levels, ... See full document
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Learning Parse and Translation Decisions from Examples with Rich Context
... Using • a rich and unified context with 205 features, • a complex parse action language that allows integrated part of speech tagging and syntactic and semantic processing, • a sophistic[r] ... See full document
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Structural Correspondence Learning for Parse Disambiguation
... 1996). Parse selection constitutes an important part of many parsing systems (Johnson et ...of parse selection models to novel domains is a far less studied ... See full document
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HamleDT: To Parse or Not to Parse?
... Growing interest in dependency parsing is accompa- nied (and inspired) by availability of new treebanks for various languages. Shared tasks such as CoNLL 2006 – 2009 have promoted parser evaluation in multilingual ... See full document
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Connectionist simulation of attitude learning: Asymmetries in the acquisition of positive and negative evaluations
... its learning to new input patterns not previously presented during ...computational architecture incorporating a distinction between a system for learning evaluations and a mechanism for selecting ... See full document
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Adaptivity and Adaptability of Learning Object’s Interface
... his/her learning needs and individual ...the learning tasks are also ...the learning object interface to the needs, interests and characteristics of the user, allowing her/him to efficiently interact ... See full document
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A Framework for Mobile Learning for the enhancement of Learning in Higher Education
... mobile learning can be used to support face-to-face interaction through a course titled “Internet ...Mobile learning activities were designed and developed to complement the three primary learning ... See full document
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To Parse or Not to Parse: Relation Driven Text Skimming
... To Parse or Not to Parse Relation Driven Text Skimming T o P a r s e o r N o t t o P a r s e R e l a t i o n D r i v e n T e x t S k i m m i n g P a u l S J a c o b s A r t i f i c i a l I n t e l l i[.] ... See full document
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A Learning Approach to Shallow Parsing
... This paper presents a general learning ap- proach for identifying syntactic patterns, based on the SNoW learning architecture Roth, 1998; Roth, 1999.. The SNoW learning architecture is a[r] ... See full document
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... Abstract- PID controller is the simplest and best suited controller in process industries to maintain the process at the desired set value. But the linear controller needs adaptation mechanism to cope up with non-linear ... See full document
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