scholarly journals 'Imperfecto' and 'indefinido' in Spanish: what, where and how

2015 ◽  
Vol 4 (2) ◽  
pp. 1 ◽  
Author(s):  
Antonio Fábregas
Keyword(s):  
Natural Language ◽  
The Core

This article aims to providing the reader with an overview of the main facts and analyses about the syntax and semantics of imperfecto and indefinido in Spanish. §1 presents the main views of the nature of tense in natural language; §2 introduces the main distinctions and classifications of tense in Spanish, from a descriptive perspective; §3 does the same with aspect. §4, the core of the article, reviews the facts and the analyses about the famous <em>imperfecto ~ indefinido</em> distinction in the Spanish temporoaspectual domain. §5 takes stock of the facts in Spanish, and outlines some conclusions.

Graph analytics and visualization for cyber situational understanding

2021 ◽  
pp. 154851292110513
Author(s):  
Steven Noel ◽  
Stephen Purdy ◽  
Annie O’Rourke ◽  
Edward Overly ◽  
Brianna Chen ◽  
...  
Keyword(s):  
Natural Language ◽  
Detailed Analysis ◽  
Ad Hoc ◽  
Query Language ◽  
Software Components ◽  
Proof Of Concept ◽  
Graph Analytics ◽  
The Core ◽  
Interactive Visualizations ◽  
Graph Queries

This paper describes the Cyber Situational Understanding (Cyber SU) Proof of Concept (CySUP) software system for exploring advanced Cyber SU capabilities. CySUP distills complex interrelationships among cyberspace entities to provide the “so what” of cyber events for tactical operations. It combines a variety of software components to build an end-to-end pipeline for live data ingest that populates a graph knowledge base, with query-driven exploratory analysis and interactive visualizations. CySUP integrates with the core infrastructure environment supporting command posts to provide a cyber overlay onto a common operating picture oriented to tactical commanders. It also supports detailed analysis of cyberspace entities and relationships driven by ad hoc graph queries, including the conversion of natural language inquiries to formal query language. To help assess its Cyber SU capabilities, CySUP leverages automated cyber adversary emulation to carry out controlled cyberattack campaigns that impact elements of tactical missions.

scholarly journals Design and realization of a modular architecture for textual entailment

2013 ◽  
Vol 21 (2) ◽  
pp. 167-200 ◽  
Author(s):  
SEBASTIAN PADÓ ◽  
TAE-GIL NOH ◽  
ASHER STERN ◽  
RUI WANG ◽  
ROBERTO ZANOLI
Keyword(s):  
Natural Language ◽  
Language Processing ◽  
Linguistic Analysis ◽  
Knowledge Bases ◽  
Practical Implementation ◽  
World Knowledge ◽  
Modular Architecture ◽  
Open Platform ◽  
The Core ◽  
Textual Entailment

AbstractA key challenge at the core of many Natural Language Processing (NLP) tasks is the ability to determine which conclusions can be inferred from a given natural language text. This problem, called theRecognition of Textual Entailment (RTE), has initiated the development of a range of algorithms, methods, and technologies. Unfortunately, research on Textual Entailment (TE), like semantics research more generally, is fragmented into studies focussing on various aspects of semantics such as world knowledge, lexical and syntactic relations, or more specialized kinds of inference. This fragmentation has problematic practical consequences. Notably, interoperability among the existing RTE systems is poor, and reuse of resources and algorithms is mostly infeasible. This also makes systematic evaluations very difficult to carry out. Finally, textual entailment presents a wide array of approaches to potential end users with little guidance on which to pick. Our contribution to this situation is the novel EXCITEMENT architecture, which was developed to enable and encourage the consolidation of methods and resources in the textual entailment area. It decomposes RTE into components with strongly typed interfaces. We specify (a) a modular linguistic analysis pipeline and (b) a decomposition of the ‘core’ RTE methods into top-level algorithms and subcomponents. We identify four major subcomponent types, including knowledge bases and alignment methods. The architecture was developed with a focus on generality, supporting all major approaches to RTE and encouraging language independence. We illustrate the feasibility of the architecture by constructing mappings of major existing systems onto the architecture. The practical implementation of this architecture forms the EXCITEMENT open platform. It is a suite of textual entailment algorithms and components which contains the three systems named above, including linguistic-analysis pipelines for three languages (English, German, and Italian), and comprises a number of linguistic resources. By addressing the problems outlined above, the platform provides a comprehensive and flexible basis for research and experimentation in textual entailment and is available as open source software under the GNU General Public License.

scholarly journals Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices

2018 ◽  
Vol 24 (3) ◽  
pp. 393-413 ◽  
Author(s):  
STELLA FRANK ◽  
DESMOND ELLIOTT ◽  
LUCIA SPECIA
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Empirical Evidence ◽  
Language Processing ◽  
Native Speaker ◽  
Native Language ◽  
Target Language ◽  
Image Description ◽  
The Core ◽  
Future Work

AbstractTwo studies on multilingual multimodal image description provide empirical evidence towards two questions at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) whether images improve human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by first showing that on the whole, translations are not distinguished from native language descriptions, and second delineating and quantifying the information gained from the image during the human translation task.

The Expression of Negation in Sign Languages

2020 ◽  
pp. 176-196
Author(s):  
Josep Quer
Keyword(s):  
Natural Language ◽  
Negative Concord ◽  
Sign Languages ◽  
The Core ◽  
Grammatical Categories ◽  
Sentential Negation ◽  
Manual Signs ◽  
Clausal Negation

Negation systems in sign languages have been shown to display the core grammatical properties attested for natural language negation. Negative manual signs realize clausal negation in much the same way as in spoken languages. However, the visual-gestural modality affords the possibility to encode negative marking non-manually, and sign languages vary as to whether such markers can convey negation on their own or not. Negative concord can be argued to exist between manual and non-negative markers of negation, but we also find cases of negative concord among manual signs. Negation interacts in interesting ways with other grammatical categories, and it can be encoded in irregular and affixal forms that still have sentential scope. At the same time, negation is attested in lexical morphology leading to forms that do not express sentential negation.

2. Characteristica universalis , logical calculus, and mathematics

2016 ◽  
pp. 13-31
Author(s):  
Maria Rosa Antognazza
Keyword(s):  
Natural Language ◽  
Scientific Discovery ◽  
Intellectual Life ◽  
Universal System ◽  
Logical Calculus ◽  
The Core ◽  
Scientific Advancement ◽  
The Creation ◽  
And Mathematics ◽  
Characteristica Universalis

How did Leibniz propose to pursue his all-embracing programme of scientific advancement? What were the core projects that held his wide-ranging intellectual life together? ‘Characteristica universalis, logical calculus, and mathematics’ explains that Leibniz nurtured the dream of developing an alphabet of human thoughts leading to the creation of a characteristica universalis: a universal system of signs designed to eliminate the ambiguity of natural language. This project progressed into the development of a logical calculus. Over and above the provision of a means of universal and unambiguous communication, however, the characteristica universalis was conceived by Leibniz as a powerful tool of scientific discovery and judgement on the model of algebra.

Several knowledge models and a blackboard memory for human-machine robust dialogues

1995 ◽  
Vol 1 (2) ◽  
pp. 113-145 ◽  
Author(s):  
Violaine Prince ◽  
Didier Pernel
Keyword(s):  
Working Memory ◽  
Natural Language ◽  
Information Seeking ◽  
Dialogue Model ◽  
The Core ◽  
Knowledge Models ◽  
Intelligent Memory ◽  
Pragmatic Knowledge

AbstractThis contribution focuses on a dialogue model using an intelligent working memory that aims at facilitating a robust human-machine dialogue in written natural language. The model has been designed as the core of an information seeking dialogue application. The particularity of this project is to rely on the potent interpretation and behaviour capabilities of pragmatic knowledge. Within this framework, the designed dialogue model appears as a kind of ‘forum’ for various facets, impersonated by different models extracted from both intentional and structural approaches of conversation. The approach is based on assuming that multiple expertise is the key to flexibility and robustness. Also, an intelligent memory that keeps track of all events and links them together from as many angles as necessary is crucial for multiple expertise management. This idea is developed by presenting an intelligent dialogue history which is able to complement the wide coverage of the co-operating models. It is no longer a simple chronological record, but a communication area, common to all processes. We illustrate our topic through examples brought out from collected corpora.

scholarly journals MLGrafViz: multilingual ontology visualization plug-in for protégé

2021 ◽  
Vol 2 (1) ◽  
pp. 43-48
Author(s):  
Merlin Florrence
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Knowledge Based Systems ◽  
Natural Languages ◽  
The Core ◽  
Knowledge Based ◽  
Ontology Visualization ◽  
Language User ◽  
Core Ontology

Natural Language Processing (NLP) is rapidly increasing in all domains of knowledge acquisition to facilitate different language user. It is required to develop knowledge based NLP systems to provide better results.  Knowledge based systems can be implemented using ontologies where ontology is a collection of terms and concepts arranged taxonomically.  The concepts that are visualized graphically are more understandable than in the text form.   In this research paper, new multilingual ontology visualization plug-in MLGrafViz is developed to visualize ontologies in different natural languages. This plug-in is developed for protégé ontology editor. This plug-in allows the user to translate and visualize the core ontology into 135 languages.

scholarly journals Artificial Intelligence in Business

2020 ◽  
pp. 1-38
Author(s):  
Amandeep Kaur ◽  
◽  
Anjum Mohammad Aslam ◽  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Case Studies ◽  
Language Processing ◽  
Learning Abilities ◽  
The Core

In this chapter we discuss the core concept of Artificial Intelligence. We define the term of Artificial Intelligence and its interconnected terms such as Machine learning, deep learning, Neural Networks. We describe the concept with the perspective of its usage in the area of business. We further analyze various applications and case studies which can be achieved using Artificial Intelligence and its sub fields. In the area of business already numerous Artificial Intelligence applications are being utilized and will be expected to be utilized more in the future where machines will improve the Artificial Intelligence, Natural language processing, Machine learning abilities of humans in various zones.

scholarly journals The Perception of Emojis for Analyzing App Feedback

2019 ◽  
Vol 13 (02) ◽  
pp. 19 ◽  
Author(s):  
Simon André Scherr ◽  
Svenja Polst ◽  
Lisa Müller ◽  
Konstantin Holl ◽  
Frank Elberzhager
Keyword(s):  
Natural Language ◽  
User Feedback ◽  
The Core

<p class="0abstract"><span lang="EN-US">When analyzing textual user feedback, the challenge today is that automation is only possible in a non-satisfactory way due to the limitations of understanding natural language. However, manual evaluation is not possible for products with a large amount of user feedback, as this is neither efficient nor effective. Internet texts are full of emojis. Emojis tell how a user feels about certain aspects of a product. We conducted a survey on the perception of emojis and used the results from 107 participants. The core result is that people perceive emojis in a very homogenous way regarding their sentiments and the emotions they represent This means that emojis give us a tool for analyzing the users’ perspectives on a product by looking at the emojis contained in their feedback. </span></p>

scholarly journals Generative Linguistics Meets Normative Inferentialism

2021 ◽  
Vol 21 (61) ◽  
pp. 179-222
Author(s):  
David Pereplyotchik
Keyword(s):  
Natural Language ◽  
Recent Book ◽  
Natural Language Semantics ◽  
Previous Issue ◽  
Theoretical Frameworks ◽  
Generative Linguistics ◽  
The Core ◽  
Robert Brandom ◽  
Integration Strategy ◽  
Language Semantics

This is the second installment of a two-part essay. Limitations of space prevented the publication of the full essay in a previous issue of the Journal (Pereplyotchik 2020). My overall goal is to outline a strategy for integrating generative linguistics with a broadly pragmatist approach to meaning and communication. Two immensely useful guides in this venture are Robert Brandom and Paul Pietroski. Squarely in the Chomskyan tradition, Pietroski’s recent book, Conjoining Meanings, offers an approach to natural-language semantics that rejects foundational assumptions widely held amongst philosophers and linguists. In particular, he argues against extensionalism—the view that meanings are (or determine) truth and satisfaction conditions. Having arrived at the same conclusion by way of Brandom’s deflationist account of truth and reference, I’ll argue that both theorists have important contributions to make to a broader anti-extensionalist approach to language. Part 1 of the essay was largely exegetical, laying out what I see as the core aspects of Brandom’s normative inferentialism (1) and Pietroski’s naturalistic semantics (2). Now, in Part 2, I argue that there are many convergences between these two theoretical frameworks and, contrary to first appearances, very few points of substantive disagreement between them. If the integration strategy that I propose is correct, then what appear to be sharply contrasting commitments are better seen as interrelated verbal differences that come down to different—but complementary—explanatory goals. The residual disputes are, however, stubborn. I end by discussing how to square Pietroski’s commitment to predicativism with Brandom’s argument that a predicativist language is in principle incapable of expressing ordinary conditionals.

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