[PDF] Top 20 Exemplar Based Models for Word Meaning in Context
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Exemplar Based Models for Word Meaning in Context
... prototype models predict degree of category membership through similar- ity to a single prototype, while exemplar theory represents a concept as a collection of all previ- ously seen exemplars (Murphy, ... See full document
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A Structured Vector Space Model for Word Meaning in Context
... of models of word meaning in context is the ability to predict the appropriateness of paraphrases in given a ...a word, not all, as can be seen in the paraphrases “grab” and “contract” ... See full document
10
Latent Vector Weighting for Word Meaning in Context
... over word sense induction (Sch¨utze, 1998; Pantel and Lin, 2002; Agirre et ...vidual word meaning in context (Erk and Pad´o, 2008; Thater et ...the meaning disambiguation of a ... See full document
11
Modeling Word Meaning in Context with Substitute Vectors
... of models of word meaning in con- text were recently proposed in the literature, mostly based on variants of BOW context ...get word type into a sparse syntax-based ... See full document
11
Contextual priming of word meanings is stabilized over sleep
... of word-meaning priming over relatively extended periods of time (2 and 12 hours) that varied in terms of whether the intervening period included sleep or ...of word-meaning priming applied ... See full document
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A comparison of models of word meaning in context
... space models of word meaning in ...the models and showed that they are in fact very ...the models: We evaluated simplified variants of these and obtained results which are (much) better ... See full document
5
Measuring Word Meaning in Context
... a word and argues that sense distinction only makes sense with respect to a given ...of word meaning such as the Generative Lexicon (Pustejovsky 1991) also draw attention to the subtle, yet reliable, ... See full document
44
Word Meaning in Context: A Simple and Effective Vector Model
... Learning curve. The corpus used in our study is much larger than the British National Corpus (BNC) that has been used, for instance, in Erk and Padó’s (2008; 2010) models. To assess the contribution of the corpus ... See full document
10
Word Meaning and Context: a Critical Examination of Contrasting Perspectives
... immediate disadvantage compared to the actual participants of any communicative exchange under formal scrutiny; chiefly because 'the linguistic element' is necessarily recontextualised prior to any formal analysis. ... See full document
114
What Is Word Meaning, Really? (And How Can Distributional Models Help Us Describe It?)
... distributional models are an obvious choice, if we can just represent each individual usage as a point in ...space models have mostly been used to represent the meaning of a word in isolation: ... See full document
10
Looking at word meaning An interactive visualization of Semantic Vector Spaces for Dutch synsets
... To illustrate the information that is avail- able through this visualization, we discuss the weighted chart for the concept C OMPUTER SCREEN (Figure 1 shows a screen cap, but we strongly advise to look at the interactive ... See full document
9
Multi Prototype Vector Space Models of Word Meaning
... for exemplar-based models in psy- chology. Exemplar models have been previously used for lexical semantics problems such as selec- tional preference (Erk, 2007) and thematic fit (Van- ... See full document
9
Implementation Svm To Solve Multiple Meaning Of Word Problem
... resolve meaning of given word with the help of an algorithm selected and approached used to decide meaning ...disambiguated word along with feature and POS “part of ...correct meaning ... See full document
5
Exemplar Based Word Space Model for Compositionality Detection: Shared Task System Description
... the context word given the target word to the overall probability of the context ...The context window of a target word’s exemplar is the whole sentence of the target word ... See full document
7
WiC: the Word in Context Dataset for Evaluating Context Sensitive Meaning Representations
... design, word embeddings are unable to model the dynamic nature of words’ seman- tics, ...existing models have surpassed the performance ceiling of the standard evaluation dataset for the purpose, ...tual ... See full document
7
Investigating Lexical Substitution Scoring for Subtitle Generation
... scoring models, of two types. Context independent models score the general likelihood that the original word is “replace- able” with the candidate synonym, in an arbitrary ...Contextual ... See full document
8
Context Dependent Alignment Models for Statistical Machine Translation
... morphological word decomposition and part-of-speech ...each word in a sentence and splits word prefixes and suffixes, based on the alternative analyses provided by BAMA (Buckwalter, ... See full document
9
Syntax Aware Multi Sense Word Embeddings for Deep Compositional Models of Meaning
... the word embeddings are internal param- eters of the model with no use for any other pur- pose than the task for which they were specifically ...the word embeddings and the de- rived compositional model can ... See full document
12
Beyond Context: A New Perspective for Word Embeddings
... defines meaning, which is used by most word embedding models is ...the context, the internal information of a word also characterizes its ...the word prediction task as a multi- ... See full document
11
A Study on Word Similarity using Context Vector Models
... derive context vectors, a large corpus with semantic tags is ...measure based on the vector space model is a rough estimation, minor errors made at the stage of context vector extraction are ... See full document
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