Language and Knowledge
CoLAKE: Contextualized Language and Knowledge Embedding
... factual knowledge into pre-trained language models such as BERT, most existing models consider shallow, static, and separately pre-trained entity embeddings, which limits the performance gains of these ...
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Language Models as Knowledge Bases?
... pretraining language mod- els on large textual corpora led to a surge of improvements for downstream NLP ...linguistic knowledge, these models may also be storing relational knowl- edge present in the ...
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Language knowledge and earnings in Catalonia
... to knowledge of Catalan (such as the other estimated coefficients) is identical to the estimate obtained from the Endogenous Switching Model; this result is a clear sign in favour of the validity of our ...of ...
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Language knowledge and earnings in Catalonia
... to knowledge of Catalan (such as the other estimated coefficients) is identical to the estimate obtained from the Endogenous Switching Model; this result is a clear sign in favour of the validity of our ...of ...
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Genes and the conceptualisation of language knowledge
... fundamental language knowledge draws us inexorably to the question of when and how that knowledge arose, and how it is that humans today still all have ...the language faculty arose once only, ...
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Toward measuring language teachers’ assessment knowledge: development and validation of Language Assessment Knowledge Scale (LAKS)
... on language assessment literacy and the urgent need for an instrument to measure language assessment knowledge, as the core of language assessment literacy, among language teachers, ...
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DATR: A Language for Lexical Knowledge Representation
... Much recent research on the design of natural language lexicons has made use of nonmonotonic inheritance networks as originally developed for general knowledge representation purp[r] ...
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Human Language Technologies for Knowledge Management
... of knowledge management and some preliminary promise of human language technology to provide solutions to these needs, we now more systematically analyze how HLT can contribute to ...human language ...
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Semantic Computing and Language Knowledge Bases
... a language from a lexical or a syntactic ...any language speaker or writer, a linguist, a psychologist, a lexicographer, or a ...semantic knowledge is modeled with very deep and formal ...of ...
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Language independent transfer of assembly knowledge
... assembly knowledge for workers with different cultural and linguistic background is ...with language reduced or language independent content have been tested in a study with students in Vietnam and ...
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OpenLearn and knowledge maps for language learning
... for language learning ...specific knowledge domain, students can easily contact people available online or ...interactive language learning ...
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KnowSemLM: A Knowledge Infused Semantic Language Model
... the language modeling ability of KnowSemLM, we report perplexity and narrative cloze test ...of knowledge for the abla- tion ...through knowledge transitivity improves the model ...
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Argument Mining: the Bottleneck of Knowledge and Language Resources
... domain knowledge, in particular the development of Qualia struc- ...via language patterns (which can be encoded in ...with knowledge and linguistic data in argument ...
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Self-Knowledge Distillation in Natural Language Processing
... natural language processing (NLP), many deep learning models have been showing remarkable performances in a variety of NLP tasks, and in some cases, they are even outperforming ...efficient knowledge ...
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A Knowledge Engineering Approach to Natural Language Understanding
... A KNOWLEDGE ENGINEERING APPROACH TO NATURAL LANGUAGE UNDERSTANDING Stuart C. A computer system is being developed to handle the acquisition, representation, and use of [r] ...
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Combining Analogy with Language Models for Knowledge Extraction
... structured knowledge from natural language text has been a long-standing ...extracting knowledge about named entities ...BERT Language Model to extract structured knowledge from text, ...
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Natural Language Generation for Effective Knowledge Distillation
... As shown in Tang et al. (2019), crucial to knowledge distillation is constructing a transfer dataset of unlabeled examples. In this paper, we explore how to construct such an effective trans- fer set. Previous ...
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Argument Mining: The bottleneck of knowledge and language resources
... domain knowledge, in particular the development of Qualia struc- ...via language patterns (which can be encoded in ...with knowledge and linguistic data in argument ...
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Logical Conceptualization of Knowledge on the Notion of Language Communication
... OF KNOWLEDGE ON THE NOTION OF LANGUAGE COMMUNICATION * ...of language in which the concepts of the phe- nomenon of language communication and language communication in general are ...
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Thai second language writing: the development of language knowledge and cross cultural influence
... The tables help clarify the logical underpinning of the methodological approach adopted in the current study. The study is concerned with identifying and interpreting differences in the language knowledge ...
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