[PDF] Top 20 Towards Understanding Text with a Very Large Vocabulary
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Towards Understanding Text with a Very Large Vocabulary
... Towards Understanding Text with a Very Large Vocabulary Towards Understanding Text with a Very Large Vocabulary Damaris Ayuso, R Bobrow, Dawn MacLaughlin, Marie Meteer, Lance Ramshaw, Rich Schwartz, R[.] ... See full document
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How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
... Mart´ın Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Cor- rado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael ... See full document
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Automatic Recognition of Lyrics in Singing
... a large enough database with monophonic recordings, but we do have at our disposal plenty of polyphonic ...the vocabulary can be obtained by using more text in the construction of the language ... See full document
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Analyzing Learner Understanding of Novel L2 Vocabulary
... In order to do this, we must be able to pre- dict when learners will be able to understand a novel L2 vocabulary item. In a previous study (Renduchintala et al., 2016b), we used a small set of simple features to ... See full document
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Towards the Unsupervised Acquisition of Discourse Relations
... human text understanding can thus be de- scribed as a process to recover the global structure of texts and the relations linking its different parts (Vallduv´ı 1992; Gernsbacher et ...approach, large ... See full document
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Consciousness in second language learning: Psychological perspectives on the role of conscious processes in vocabulary acquisition
... of vocabulary acquisition range from 'unconscious' positions to those which hold that learners should be explicitly taught large amounts of ...by understanding messages and the following quotation ... See full document
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Towards Very Large Ontologies for Medical Language Processing
... existing large-scale resources, but refine the data from these resources so that advanced representational require- ments imposed by more expressive knowledge representa- tion languages are ... See full document
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Conversion disorder: towards a neurobiological understanding
... our understanding of the “neural correlate of consciousness” is limited, making it harder to propose cognitive models of “unconscious” ...best understanding of the neural basis of ... See full document
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Scaling to Very Very Large Corpora for Natural Language Disambiguation
... We collected a 1-billion-word training corpus from a variety of English texts, including news articles, scientific abstracts, government transcripts, literature and other varied forms of prose. This training corpus is ... See full document
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Towards a Structured Representation of Generic Concepts and Relations in Large Text Corpora
... Existing work on pre-defined relation extraction have implemented methods of supervised, semi- supervised, bootstrapped and unsupervised classi- fication(Zhao and Grishman, 2005), (Kambhatla, 2004) (Bunescu and Mooney, ... See full document
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Ultra Fine Entity Typing
... Training data for fine-grained NER systems is typically obtained by linking entity mentions and drawing their types from knowledge bases (KBs). This approach has two limitations: recall can suf- fer due to KB ... See full document
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Risamálheild: A Very Large Icelandic Text Corpus
... a very large Icelandic text corpus has been evident for some ...of large text corpora and other textual resources has increased ...2017). Large text corpora are ... See full document
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Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition
... Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Barbara Peskin, Larry Gillick, Y[.] ... See full document
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Language Power and Ideology in Commercial Discourse: A Prologue to Critical Discourse Analysis for Neophyte Analysts
... from Text 2 of Figure 1 illustrate how grammatical constructions influence discourse ...Unlike Text 1, Text 2 uses a complex sentence structure to accord the growing complexity in the life of the ... See full document
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On Using Very Large Target Vocabulary for Neural Machine Translation
... larger vocabulary, as training complex- ity as well as decoding complexity in- crease proportionally to the number of tar- get ...a very large target vo- cabulary without increasing training com- ... See full document
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The role of the Intermediate Care Team in detecting and responding to loneliness in older clients
... Whilst all participants felt it was important to take steps to tackle loneliness early to prevent the escalation of physical and mental health problems, some participants explained that due to large caseloads and ... See full document
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The attitudes of bilingual Arab immigrant children to their languages
... Data collection and analysis - Participant information sheets providing participants with clear information about the purpose of the study, the extent of their participation and anonymity were issued to the parents of ... See full document
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Improving American Sign Language Recognition with Synthetic Data
... In everyday life, there are situations in which there is the need for deaf and hearing individuals to com- municate with one another without the aid of an interpreter. To address this need, we are develop- ing ... See full document
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Towards Morphologically Annotated Corpus of Hospital Discharge Reports in Polish
... At the moment our corpus contains three annota- tion levels – segmentation into tokens, morpholog- ical tags and semantic annotation. After the first phase of corpus creation we decided to introduce an additional level of ... See full document
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A Mathematical Model of the Vocabulary Text Relation
... A MATHEMATICAL MODEL OF THE VOCABULARY TEXT RELATION A MATHEMATICAL MODEL OF THE VOCABULARY TEXT RELATION JuhanTuldava Tartu, Estonia, USSR A new method for calculating vo cabulary size as a function[.] ... See full document
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