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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...
What is here called controlled natural language (CNL) has traditionally been given many
different names. Especially during the last four decades, a wide variety of such languages
have been designed....
Did It Happen? The Pragmatic Complexity of Veridicality Assessment
Veridicality Assessment Natural language
2015/9/10
Natural language understanding depends heavily on assessing veridicality—whether events
mentioned in a text are viewed as happening or not—but little consideration is given to this property in curren...
We examine the aspectual type of pictures, and how it interacts with temporal progression
in pictorial narratives. Some examples suggest that pictures can have stative aspect and that
such pictures ...
Aggregate and Verifiably Encrypted Signatures from Bilinear Maps
Bilinear Maps Encrypted Signatures
2015/8/5
An aggregate signature scheme is a digital signature that supports aggregation: Given n signatures on n distinct messages from n distinct users, it is possible to aggregate all these signatures into a...
Beyond information extraction:The role of ontology in military report processing
ontology information extraction military report ontological process information visualization
2015/7/30
Information extraction tools like SMES transform natural language into formal representation, e.g. into feature structures. Doing so, these tools exploit and apply linguistic knowledge about the synta...
An Observational Framework to the Zipfian Analysis among Different Languages:Studies to Indonesian Ethnic Biblical Texts
statistical processing of natural language Zipf’s law Zipf-Mandelbrot fit corpus evolution of language
2015/7/29
The paper introduces the used of Zipfian statistics to observe the human languages by using the same (meaning) corpus/corpora but different in grammatical and structural utterances. We used biblical t...
The Latent Relation Mapping Engine:Algorithm and Experiments
analogy metaphor semantic relations structure mapping vector space models
2015/7/28
Many AI researchers and cognitive scientists have argued that analogy is the core of cognition. The most influential work on computational modeling of analogy-making is Structure Mapping Theory (SMT) ...
Grounding of Meaning in Sensori-Motor Process
sensori-motor constraint meaning Meaning Generator System autonomy grounding organic artificial
2015/7/15
There is an increasing agreement in the cognitive sciences community that our sensations are closely related to our actions. Our actions impact our sensations from the environment and the knowledge we...
An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
Exploring the N-th Dimension of Language
Hidden fundamental variable natural language context-free computational property N-th dimension of language
2015/7/15
This paper is aimed at exploring the hidden fundamental computational property of natural language that has been so elusive that it has made all attempts to characterize its real computational propert...
Evaluation of Computational Grammar Formalisms for Indian Languages
Natural language parsing natural language processing probability parser analysis of language in India
2015/7/15
Natural Language Parsing has been the most prominent research area since the genesis of Natural Language Processing. Probabilistic Parsers are being developed to make the process of parser development...
What Science Underlies Natural Language Engineering?
Science Underlies Natural Language Engineering
2015/1/27
One of t he most thought-provoking proposals I have heard recently came f rom Lori Levin during t he discussion that concluded the EACL 2009 Workshop on the Interaction between Linguistics and Computa...
Natural Language Processing and Extracting Information From Medical Reports
Natural Language Processing NLP Medical Reporting Informatics
2015/1/9
The purpose of this study is to examine the current use of natural language processing for extracting meaningful data from free text in medical reports. The use of natural language processing has been...