[PDF] Top 20 Learning Word Relatedness over Time
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Learning Word Relatedness over Time
... Continuous word embeddings (Mikolov et ...late relatedness between ...of word meanings over time, and specifically focused on identification of the change ...change over ... See full document
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Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change
... In contrast, there is little work on annota- tion with a focus on semantic change, despite the growing interest and modeling efforts in the field of semantic change detection. Lau et al. (2012) and Cook et al. (2014) aim ... See full document
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ConnotationWordNet: Learning Connotation over the Word+Sense Network
... operating over both words and senses, by exploiting the innate structure between the words and senses as encoded in ...tion over pairwise-Markov Random Fields as an effective lexicon induction ...labels ... See full document
11
On Modeling Sense Relatedness in Multi prototype Word Embedding
... distributional word representation learn- ing model, many researchers tend to in- duce word senses through clustering, and learn multiple embedding vectors for each word, namely multi-prototype ... See full document
10
Measuring Word Relatedness Using Heterogeneous Vector Space Models
... Corpus-based VSMs follow the standard “distri- butional hypothesis,” which states that words ap- pearing in the same contexts tend to have simi- lar meaning (Harris, 1954). Each target word is thus represented by ... See full document
5
Learning Outcomes and Their Relatedness in a Medical Curriculum
... Graphs have been widely used to establish pre- requisite relationships between domain knowl- edge concepts (Chen et al., 2015; K¨aser et al., 2014), where a link between concepts indicates a prerequisite-outcome ... See full document
10
Learning how to Learn: An Adaptive Dialogue Agent for Incrementally Learning Visually Grounded Word Meanings
... active learning taking place in the exper- iment: the agent can only hear feedback from the tutor if it is not confident enough about its own ...creases over time, and thus there is progressively ... See full document
10
Indra: A Word Embedding and Semantic Relatedness Server
... years word embedding/distributional semantic models evolved to become a fundamental component in many natural language processing (NLP) architectures due to their ability of capturing and quantifying semantic ... See full document
7
Semantic Relatedness Measures in E learning: A study
... Semantic relatedness stands in general for the relatedness of concepts, unlike similarity that scores the likeness of the ...Semantic relatedness. Semantic similarity and relatedness measures ... See full document
5
Analyzing the Components of Online Learning and Their Inter-relatedness
... support learning, the latter often within set limits of time (a week or two), allowing learners to contribute when it suits them given their other ... See full document
24
The time-course of talker-specificity and lexical competition effects during word learning
... after learning there is less evidence relating to whether talker-specific details are retained in long- term ...of time immediately after a word has been encountered, the retention of this ... See full document
51
Specializing Word Embeddings for Similarity or Relatedness
... joint learning works better when sup- plementing raw text input with free associates, but skip-gram retrofitting works better with additional thesaurus information, could be due to curriculum learning ... See full document
5
TR9856: A Multi word Term Relatedness Benchmark
... Contextual Word Similarities dataset, denoted SCWS (Huang et ...2,003 word pairs, where each word ap- pears in the context of a specific ...3,000 word pairs, where a specific relat- edness ... See full document
6
Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings
... poly-functional word forms which share a common formal feature ...increasing over time (see Figure 3), remains lower than their average outer distance: their grammatical side shows its ef- fect on ... See full document
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Querying Word Embeddings for Similarity and Relatedness
... popular word embedding model with two final sets of (word/context) ...of word and context embeddings as word vectors) could be simulated in a count- based model that applies SVD to the PMI ... See full document
10
Designing for relatedness: learning design at the virtual cultural interface
... and relatedness as they apply to learning and teaching (L&T) and the way in which Aboriginal and Torres Strait Islander higher education (HE) students experience this in online ...learning. ... See full document
13
Decentralized Dictionary Learning Over Time-Varying Digraphs
... Modified ATC algorithms over different network settings, as listed in Table 5, and we terminated them after 1500 message exchanges. We replicated the tests for 5 independent realizations and we reported the ... See full document
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Ch 7: Ape Populations over Time: Case Studies from Gombe, Mount Halimun Salak, Sabangau, and Wamba
... A behavioral study that was carried out in Sabangau immediately aft er logging ended shows that orangutans made selective use of their habitat by seeking out areas where tall trees were still standing and by avoiding the ... See full document
32
Robust optimization over time by learning problem space characteristics
... survival time in test instances with D=2 but loses its superiority in problems with D=5 and its performance, as well as that of ROOT-PV, experience a dramatic ... See full document
14
Going Beyond Text: A Hybrid Image Text Approach for Measuring Word Relatedness
... the relatedness of words, and demonstrate the promise of this method through comparative evalua- tions on three standard ...in word related- ness, confirming the applicability of visual cues as a possible ... See full document
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