[PDF] Top 20 Word and Phrase Learning based on Prior Semantics
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Word and Phrase Learning based on Prior Semantics
... is based on the findings that a) Objects with higher speed are likely to be more salient, and b) Objects with a larger image size are more likely to be attended (Itti and Koch, ...map based on the above ... See full document
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Learning Dependency Based Compositional Semantics
... each word can used in context; for example, the lexical entry for borders is S \ NP / NP : ...free word- order languages, either disharmonic combinators are employed (Zettlemoyer and Collins, 2007) or words ... See full document
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Robust Word Sense Translation by EM Learning of Frame Semantics
... bilingual word sense dictionary or on- ...a word translation given frame map- ping, and that of frame mapping given word ...average word sense translation accuracy is ...frame semantics ... See full document
8
Word or Phrase? Learning Which Unit to Stress for Information Retrieval
... a phrase score (or probability) is simply combined with scores of its constituent words by using a uniform interpolation parameter, which implies that a uniform contribution of phrases over constituent words is ... See full document
9
News Citation Recommendation with Implicit and Explicit Semantics
... Previous studies use string-based overlap (Xu et al., 2014), machine translation measures (Madnani et al., 2012), and dependency syntax (Wan et al., 2006; Wang et al., 2015) to model text similar- ity. More recent ... See full document
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Learning Dependency Based Compositional Semantics
... before learning even starts. This is reflected in the amount of prior knowledge and initialization that CGCR10 uses before learning starts: WordNet features, syntactic parse trees, and a set of ... See full document
59
Content Linking for UGC based on Word Embedding Model
... post. Based on our former work of traditional features-based methods and its unsatisfied result, we propose to improve its performance by digging deeper semantic information with Word Embedding ... See full document
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Bilingual Word Embeddings for Phrase Based Machine Translation
... count word co-occurrences in a 10- word ...the word embeddings have sig- nificantly higher Kendall’s Tau value compared to Prior work (Jin and Wu, ... See full document
6
Learning Composition Models for Phrase Embeddings
... evaluate phrase se- mantic similarity: the SemEval2013 shared task (Korkontzelos et ...a word phrase pair are semantically simi- ...candidate word for a given phrase from candi- date ... See full document
16
Learning Word Representations with Regularization from Prior Knowledge
... for learning phrase embeddings in the paraphrasing ...learned word embeddings as super- vised knowledge for learning phrase ...as word vectors (Maas et ...explicit word ... See full document
10
Sieve Based Entity Linking for the Biomedical Domain
... disorder word/phrase based on a set of learned edit distance patterns for converting one word/phrase to another, and then attempts to normalize these query phrase variations by ... See full document
6
Learning Word Reorderings for Hierarchical Phrase based Statistical Machine Translation
... archical phrase-based statistical machine translation system. Existing word reorder- ing models learn the reordering for any two source words in a sentence or only for two continuous ...for ... See full document
7
Learning to Generate Word and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation
... phrases, phrase-based NMT systems have been proposed; these typically combine word- based NMT with external phrase dictionaries or with phrase tables from ... See full document
8
Learning Phrase Boundaries for Hierarchical Phrase based Translation
... whole unit. However, the baseline translates the spans [6, 7] and [8, 8] separately. It moves [6, 7] before “visit China” and [8, 8] after “concern”. This makes an mistake on phrase reordering. We observe that the ... See full document
8
Hierarchical Phrase based Machine Translation with Word based Reordering Model
... rates word-based reordering model into hierarchi- cal phrase-based translation to constrain word or- ...in phrase-based translation. To integrate the ... See full document
8
Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation
... idiomatic phrase translations and can be easily enriched with bilingual ...i.e. word seg- mentation errors of Chinese. The advantage of using phrase-based translation in a statistical ... See full document
8
A Probabilistic Model of Syntactic and Semantic Acquisition from Child Directed Utterances and their Meanings
... This paper presents an incremental prob- abilistic learner that models the acquis- tion of syntax and semantics from a cor- pus of child-directed utterances paired with possible representations of their meanings. ... See full document
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Paraphrase Detection Based on Identical Phrase and Similar Word Matching
... Some researchers in the field of paraphrase de- tection have used vector-based similarity to iden- tify the differences between two sentences (Mihal- cea et al., 2006; Blacoe and Lapata, 2012). The two sentences ... See full document
9
DIGITAL CREDENTIALS SUMMIT 2018: HIGHLIGHTS
... Badgr is the space where individuals can store their open badges. There is no charge for individuals to store their badges and the platform can be any issuing platform, not just Badgr. Concentric Sky has recently created ... See full document
9
TRANSFORMATIVE LEARNING IN ONLINE COLLEGE COURSES: PROCESS AND EVIDENCE
... STLR learning artifact, the rating the instructor assigns, and the STLR Tenet rubric used to assess the artifact are all associated into students’ dropboxes in the course ... See full document
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