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赣南师范大学外国语学院应用语言学课件Lecture 4 Vocabulary size andin-depth knowledge。
西北大学汉译英课件 Basic Knowledge of Translation Theory
西北大学 汉译英 课件 Basic Knowledge of Translation Theory
2017/4/26
西北大学汉译英课件 Basic Knowledge of Translation Theory。
Applying Automatically Generated Semantic Knowledge A Case Study in Machine Translation
Applying Automatically Generated Semantic Knowledge Machine Translation
2015/9/2
In this paper, we discuss how we apply automatically generated semantic knowledge to benefit statisticalmachine translation (SMT). Currently, almost all statistical machine translation systems rely he...
Building and Using a Lexical Knowledge Base of Near-Synonym Differences
Near-Synonym Differences Lexical Knowledge
2015/9/1
Choosing the wrong word in a machine translation or natural language generation system can
convey unwanted connotations, implications, or attitudes. The choice between near-synonyms
such as error, m...
Comparing Knowledge Sources for Nominal Anaphora Resolution
Comparing Knowledge Sources Nominal Anaphora Resolution
2015/8/31
We compare two ways of obtaining lexical knowledge for antecedent selection in other-anaphora and definite noun phrase coreference. Specifically, we compare an algorithm that relies on links encoded i...
Given the promising title, from which one might expect a comprehensive look at imposing order on knowledge, this is a little disappointing. The back-cover blurb insists that the book can be used to pr...
Knowledge Representation:Logical,Philosophical,and Computational Foundations
Knowledge Representation Logical Philosophical Computational Foundations
2015/8/26
For Sowa, “Knowledge representation is the application of logic and ontology to the task of constructing computable models for some domain” (p. xii). “This book is a general textbook of knowledge-base...
Natural Language Processing and Knowledge Representation:Language for Knowledge and Knowledge for Language
Natural Language Processing Knowledge Representation:Language for Knowledge Knowledge for Language
2015/8/26
The strong connection between knowledge representation and reasoning and natural language is the main theme of this book. The book is divided into two parts.Part I, consisting of five original or upda...
The Interaction of Knowledge Sources in Word Sense Disambiguation
Word Sense Disambiguation Knowledge Sources
2015/8/26
Word sense disambiguation (WSD) is a computational linguistics task likely to benefit from the
tradition of combining different knowledge sources in artificial intelligence research. An i...
Lexical Semantics and Knowledge Representation in Multilingual Text Generation
Multilingual Text Generation Lexical Semantics
2015/8/25
In contrast, a state-of-the-art natural language generation (NLG) system would likely
be able to produce only one of them, modulo variations introduced by, for example, passivization, topicalization,...
Predicative Forms in Natural Language and in Lexical Knowledge Bases
Lexical Knowledge Bases Natural Language
2015/8/25
When (computational) linguists speak of “lexical semantics,” quite often they are actually referring to the more narrow area of verb semantics. Similarly, this book chooses
the fairly abstract title ...
Locating Object Knowledge in the Brain: Comment on Bowers’s (2009) Attempt to Revive the Grandmother Cell Hypothesis
localist representations distributed representations grandmother cells parallel distributed processing connectionist modeling
2015/6/23
According to Bowers (2009), the finding that there are neurons with highly selective responses to familiar stimuli supports theories positing localist representations over approaches positing the type...
Putting knowledge in its place:A scheme for programming parallel processing structures on the fly
knowledge in its place programming parallel processing structures the fly
2015/6/19
Putting knowledge in its place:A scheme for programming parallel processing structures on the fly.
Retrieving general and specific information from stored knowledge of specifics
Retrieving general specific information stored knowledge
2015/6/19
Retrieving general and specific information from stored knowledge of specifics.
Template Sampling for Leveraging Domain Knowledge in Information Extraction
Template Sampling Domain Knowledge Information Extraction
2015/6/12
We initially describe a feature-rich discriminative Conditional Random Field (CRF) model for Information Extraction in the workshop announcements domain, which offers good baseline performance in the ...