搜索结果: 1-15 共查到“Natural Language”相关记录66条 . 查询时间(0.07 秒)
本文提出了一个汉语叠词的句法推导模型，主要针对三种汉语双音节叠词：ABAB型动词、AABB型动词、AABB型形容词。基于Borer提出的外框架理论，本文提出汉语中语类与词形间没有直接联系。语素在重叠变形前是以词根形式进入句法推导，既无语类特征也无语义内涵。句法环境决定了词根可以获得的语类和检索语义的范围。本文认为汉语中涉及重叠的语素共有三种：ReASP、ReDER、ReDEG，词根定类与重叠变形的...
2017自然语言处理的自然神经网络和序列模型研讨会（Workshop on CONVOLUTIONAL NEURAL NETWORKS AND SEQUENCE MODELS FOR NATURAL LANGUAGE PROCESSING TASKS）
2017 自然语言处理 自然神经网络 序列模型 研讨会
2017/5/22
Deep Learning for NLP brings forth new and unprecedented challenges. While deep learning has been employed very successfully in image processing, the NLP community is still coming to terms with the ap...
第五届基于自然标注大数据的自然语言处理国际学术研讨会（The Fifth International Symposium on Natural Language Processing based on Naturally Annotated Big Data, NLP-NABD 2017）
第五届 自然标注大数据 自然语言处理 研讨会
2017/3/30
“第五届基于自然标注大数据的自然语言处理国际学术研讨会”（The Fifth International Symposium on Natural Language Processing based on Naturally Annotated Big Data, NLP-NABD 2017）将与CCL 2017同时召开。NLP-NABD涵盖了前面列举的所有自然语言处理的研究内容，尤其关注在大数据...
The Sixth Conference on Natural Language Processing and Chinese Computing (NLPCC 2017)
Digital Publishing Document Engineering
2017/2/15
The conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of the CCF TCCI (Technical Committee of Chinese Information, China Computer Federation). NLPCC is a le...
Cracking-Resistant Password Vaults using Natural Language Encoders
Honey Encryption Password Password vault
2015/12/24
Password vaults are increasingly popular applications that store multiple passwords encrypted under a single master password that the user memorizes. A password vault can greatly reduce the burden on ...
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
Learning Representations for Weakly Supervised Natural Language Processing Tasks
Natural Language word
2015/9/14
Finding the right representations for words is critical for building accurate NLP systems when
domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
I had heard it said that Chomsky’s conception of language is at odds with the truth-conditional program in semantics. Some of my friends said it so often that the point—or at least a point—finally sun...
Coherence in Natural Language:Data Stuctures and Applications
Natural Language Data Stuctures and Applications
2015/9/2
In his blurb on the back cover, Mark Liberman calls this book “the biggest step forward [in research on discourse structure] since Aristotle.” Given this eminent recommendation, I read the book with g...
Representation and Inference for Natural Language: A First Course in Computational Semantics
Natural Language Computational Semantics
2015/9/1
Computational semanticsis the study of how to represent meaning in a way that computers can use. For the authors of this textbook, this study includes the representation of
the meaning of natural lan...
Squibs and Discussions Real versus Template-Based Natural Language Generation: A False Opposition?
Squibs and Discussions Real versus Language Generation:
2015/8/31
This article challenges the received wisdom that template-based approaches to the generation of
language are necessarily inferior to other approaches as regards their maintainability, linguistic
wel...
Discriminative Reranking for Natural Language Parsing
Natural Language Parsing Discriminative Reranking
2015/8/31
This article considers approaches which rerank the output of an existing probabilistic parser.
The base parser produces a set of candidate parses for each input sentence, with associated
probabiliti...
Head-Driven Statistical Models for Natural Language Parsing
Natural Language Parsing Statistical Models
2015/8/28
This article describes three statistical models for natural language parsing. The models extend
methods from probabilistic context-free grammars to lexicalized grammars, leading to approaches
in whi...
This is a large volume, and it contains multitudes. Semantics is construed in a broad sense as the study of how meaning is communicated through the medium of language in a social context, taking accou...
Spotting and Discovering Terms through Natural Language Processing
Spotting Discovering Terms Natural Language Processing
2015/8/27
Christian Jacquemin’s book Spotting and Discovering Terms through Natural Language Processing is a much needed and most welcome addition to the field of computational terminology. The central issue of...