A Comparison of Concept-base Model and Word Distributed Model as Word Association System
نویسندگان
چکیده
منابع مشابه
assessment of deep word knowledge in elementary and advanced iranian efl learners: a comparison of selective and productive wat tasks
testing plays a vital role in any language teaching program. it allows teachers and stakeholders, including program administrators, parents, admissions officers and prospective employers to be assured that the learners are progressing according to an accepted standard (douglas, 2010). the problems currently facing language testers have both practical and theoretical implications but the first i...
An integrated model of concept learning and word-concept mapping
To learn the meaning of a new word, children must solve two distinct problems: identify the referent under ambiguity and determine how to generalize that word’s meaning to new objects. Traditionally, these two problems have been addressed separately in the literature, despite their tight relationship with one another. We present a hierarchical Bayesian model that jointly infers both the referen...
متن کاملImproving Distributed Word Representation and Topic Model by Word-Topic Mixture Model
We propose a Word-Topic Mixture(WTM) model to improve word representation and topic model simultaneously. Firstly, it introduces the initial external word embeddings into the Topical Word Embeddings(TWE) model based on Latent Dirichlet Allocation(LDA) model to learn word embeddings and topic vectors. Then the results learned from TWE are integrated in the LDA by defining the probability distrib...
متن کاملA distributed, developmental model of word recognition and naming.
A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differ...
متن کاملWord concept model: a knowledge representation for dialogue agents
Information extraction is a key component in dialogue systems. Knowledge about the world as well as knowledge specific to each word should be used for robust semantic processing. An intelligent agent is necessary for a dialogue system when meanings are strictly defined by using a world state model. A layered concept structure is proposed to represent knowledge associated with each word in a "sp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.08.080