scholarly journals Textual Entailment

2016 ◽  
Author(s):  
Sebastian Padó ◽  
Ido Dagan
Keyword(s):  
Binary Relation ◽  
Language Processing ◽  
Common Sense ◽  
Real World ◽  
World Language ◽  
Semantic Inference ◽  
Common Sense Reasoning ◽  
Textual Entailment ◽  
History Of ◽  
Defeasible Inferences

Textual entailment is a binary relation between two natural-language texts (called ‘text’ and ‘hypothesis’), where readers of the ‘text’ would agree the ‘hypothesis’ is most likely true (Peter is snoring → A man sleeps). Its recognition requires an account of linguistic variability ( an event may be realized in different ways, e.g. Peter buys the car ↔ The car is purchased by Peter) and of relationships between events (e.g. Peter buys the car → Peter owns the car). Unlike logics-based inference, textual entailment also covers cases of probable but still defeasible entailment (A hurricane hit Peter’s town → Peter’s town was damaged). Since human common-sense reasoning often involves such defeasible inferences, textual entailment is of considerable interest for real-world language processing tasks, as a generic, application-independent framework for semantic inference. This chapter discusses the history of textual entailment, approaches to recognizing it, and its integration in various NLP tasks.

scholarly journals Asymmetric Attributional Word Similarities Measures to detect Relations of Textual Generality

2020 ◽  
Author(s):  
Sebastião Pais ◽  
Gaël Dias
Keyword(s):  
Language Processing ◽  
Independent Method ◽  
Inference Mechanism ◽  
Semantic Inference ◽  
The Core ◽  
Annotation Data ◽  
Entailment Relation ◽  
Different Types ◽  
Textual Entailment ◽  
Task Systems

In this work we present a new unsupervised and language-independent methodology to detect relations of textual generality, for this, we introduce a particular case of textual entailment (TE), namely Textual Entailment by Generality (TEG). TE aims to capture primary semantic inference needs across applications in Natural Language Processing (NLP). Since 2005, in the TE recognition (RTE) task, systems are asked to automatically judge whether the meaning of a portion of the text, the Text - T, entails the meaning of another text, the Hypothesis - H. Several novel approaches and improvements in TE technologies demonstrated in RTE Challenges are signalling of renewed interest towards a more in-depth and better understanding of the core phenomena involved in TE. In line with this direction, in this work, we focus on a particular case of entailment, entailment by generality, to detect relations of textual generality. In-text, there are different kinds of entailment, yielded from different types of implicative reasoning (lexical, syntactical, common sense based), but here we focus just on TEG, which can be defined as an entailment from a specific statement towards a relatively more general one. Therefore, we have T→GH whenever the premise T entails the hypothesis H, being it also more general than the premise. We propose an unsupervised and language-independent method to recognize TEGs, from a pair ⟨T,H⟩ having an entailment relation. To this end, we introduce an Informative Asymmetric Measure (IAM) called Simplified Asymmetric InfoSimba (AISs), which we combine with different Asymmetric Association Measures (AAM). In this work, we hypothesize the existence of a particular mode of TE, namely TEG. Thus, the main contribution of our study is to highlight the importance of this inference mechanism. Consequently, the new annotation data seems to be a valuable resource for the community.

scholarly journals Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality

Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 81
Author(s):  
Sebastião Pais ◽  
Gaël Dias
Keyword(s):  
Language Processing ◽  
Similarity Measures ◽  
Inference Mechanism ◽  
Word Similarity ◽  
Semantic Inference ◽  
Annotation Data ◽  
Entailment Relation ◽  
Different Types ◽  
Textual Entailment ◽  
Task Systems

In this work, we present a new unsupervised and language-independent methodology to detect the relations of textual generality. For this, we introduce a particular case of Textual Entailment (TE), namely Textual Entailment by Generality (TEG). TE aims to capture primary semantic inference needs across applications in Natural Language Processing (NLP). Since 2005, in the TE Recognition (RTE) task, systems have been asked to automatically judge whether the meaning of a portion of the text, the Text (T), entails the meaning of another text, the Hypothesis (H). Several novel approaches and improvements in TE technologies demonstrated in RTE Challenges are signaling renewed interest towards a more in-depth and better understanding of the core phenomena involved in TE. In line with this direction, in this work, we focus on a particular case of entailment, entailment by generality, to detect the relations of textual generality. In text, there are different kinds of entailments, yielded from different types of implicative reasoning (lexical, syntactical, common sense based), but here, we focus just on TEG, which can be defined as an entailment from a specific statement towards a relatively more general one. Therefore, we have T→GH whenever the premise T entails the hypothesis H, this also being more general than the premise. We propose an unsupervised and language-independent method to recognize TEGs, from a pair ⟨T,H⟩ having an entailment relation. To this end, we introduce an Informative Asymmetric Measure (IAM) called Simplified Asymmetric InfoSimba (AISs), which we combine with different Asymmetric Association Measures (AAM). In this work, we hypothesize about the existence of a particular mode of TE, namely TEG. Thus, the main contribution of our study is highlighting the importance of this inference mechanism. Consequently, the new annotation data seem to be a valuable resource for the community.

Caffeine enhances real-world language processing: Evidence from a proofreading task.

2012 ◽  
Vol 18 (1) ◽  
pp. 95-108 ◽  
Author(s):  
Tad T. Brunyé ◽  
Caroline R. Mahoney ◽  
David N. Rapp ◽  
Tali Ditman ◽  
Holly A. Taylor
Keyword(s):  
Language Processing ◽  
Real World ◽  
World Language

1243-P: Novel Use of Natural Language Processing to Identify Reasons for Insulin Discontinuation in Patients with T2DM: A Real-World Evidence Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1243-P
Author(s):  
JIANMIN WU ◽  
FRITHA J. MORRISON ◽  
ZHENXIANG ZHAO ◽  
XUANYAO HE ◽  
MARIA SHUBINA ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Real World ◽  
Real World Evidence

EXPLORING HEALTHCARE ARCHITECTURE THROUGH THE MEDIUM OF FILM: Motives and Techniques

2014 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Stephen Verderber
Keyword(s):  
Real World ◽  
The Real ◽  
Healthcare Settings ◽  
Interdisciplinary Field ◽  
Body Of Knowledge ◽  
Behavior Setting ◽  
Physical Environments ◽  
Scant Attention ◽  
History Of

The interdisciplinary field of person-environment relations has, from its origins, addressed the transactional relationship between human behavior and the built environment. This body of knowledge has been based upon qualitative and quantitative assessment of phenomena in the “real world.” This knowledge base has been instrumental in advancing the quality of real, physical environments globally at various scales of inquiry and with myriad user/client constituencies. By contrast, scant attention has been devoted to using simulation as a means to examine and represent person-environment transactions and how what is learned can be applied. The present discussion posits that press-competency theory, with related aspects drawn from functionalist-evolutionary theory, can together function to help us learn of how the medium of film can yield further insights to person-environment (P-E) transactions in the real world. Sampling, combined with extemporary behavior setting analysis, provide the basis for this analysis of healthcare settings as expressed throughout the history of cinema. This method can be of significant aid in examining P-E transactions across diverse historical periods, building types and places, healthcare and otherwise, otherwise logistically, geographically, or temporally unattainable in real time and space.

ACCOUNTING REPRESENTATION AND THE SLAVE TRADE: THE GUIDE DU COMMERCE OF GAIGNAT DE L'AULNAIS

2006 ◽  
Vol 33 (2) ◽  
pp. 1-37 ◽  
Author(s):  
Cheryl S. McWatters ◽  
Yannick Lemarchand
Keyword(s):  
International Trade ◽  
Real World ◽  
Slave Trade ◽  
French Language ◽  
Historical Study ◽  
Economic Context ◽  
History Of ◽  
The Subject ◽  
Bear Witness ◽  
Language Literature

The Guide du commerce occupies a distinctive place in the French-language literature on accounting. Passed over by most specialists in the history of maritime trade and the slave trade, the manual has never been the subject of a documented historical study. The apparent realism of the examples, the luxury of details and their precision, all bear witness to a deep concern to go beyond a simple apprenticeship in bookkeeping. Promoting itself essentially as “un guide du commerce,” the volume offers strategic examples for small local businesses, as well as for those engaged in international trade. Yet, the realism also demonstrated the expertise of the author in the eyes of potential purchasers. Inspired by the work of Bottin [2001], we investigate the extent to which the manual reflects real-world practices and provides a faithful glimpse into the socio-economic context of the period. Two additional questions are discussed briefly in our conclusion. First, can the work of Gaignat constitute a source document for the history of la traite négrière? The second entails our early deliberations about the place of this volume in the history of the slave trade itself.

scholarly journals The liberation of nature and knowledge: a case study on Hans Reichenbach’s naturalism

Synthese ◽  
2021 ◽  
Author(s):  
László Kocsis ◽  
Adam Tamas Tuboly
Keyword(s):  
Common Sense ◽  
Interesting Case ◽  
Valuable Contribution ◽  
Rhetorical Strategy ◽  
Scientific Philosophy ◽  
Political Program ◽  
History Of ◽  
Contemporary Context ◽  
Common Sense Knowledge

AbstractOur main goal in this paper is to present and scrutinize Reichenbach’s own naturalism in our contemporary context, with special attention to competing versions of the concept. By exploring the idea of Reichenbach’s naturalism, we will argue that he defended a liberating, therapeutic form of naturalism, meaning that he took scientific philosophy (or philosophy of nature, Naturphilosophie) to be a possible cure for bad old habits and traditional ways of philosophy. For Reichenbach, naturalistic scientific philosophy was a well-established form of liberation. We do not intend to suggest that Reichenbach acted as an inventor of naturalism; nonetheless, invoking the term and the idea of ‘naturalism’ is more than a simple rhetorical strategy for rehabilitating Reichenbach as a forerunner of this field. We think that his ideas can make a valuable contribution to contemporary debates, and that he presents an interesting case among the other scientifically oriented proponents of his time. After presenting a short reconstruction of the meaning of naturalism—or, more appropriately, naturalisms—in order to be able to correctly situate Reichenbach within his own as well as a systematic context, we discuss Reichenbach’s naturalism against the background of his scientific philosophy, his views on the relation of common-sense knowledge to science, and his efforts at popularization. To delve deeper into this topic, we present a case study to show how Reichenbach argued that in both scientific and philosophical discussions (assuming their naturalistic continuity), it is necessary to move from the request and value of truth to probability. And, finally, we argue that the liberation of knowledge and nature was a socio-political program for Reichenbach, who talked about his own scientific philosophy as “a crusade.” By emphasizing this aspect of Reichenbach’s naturalism, we may be in a better position to situate him in the history of analytic philosophy in general, and in the yet-to-be-written narrative of the naturalistic movement in particular.

Common Sense Illness Beliefs of Diabetes Among At-Risk Latino College Students

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Silvia Santos ◽  
Maria Hurtado-Ortiz ◽  
Laurenne Lewis ◽  
Julia Ramirez-Garcia
Keyword(s):  
College Students ◽  
At Risk ◽  
Common Sense ◽  
Personal Responsibility ◽  
Generational Status ◽  
Latino College Students ◽  
Illness Beliefs ◽  
Implicit Model ◽  
Principal Axis Factor Analysis ◽  
History Of

This study examined the validity of the Implicit Model of Illness Questionnaire (IMIQ - Schiaffino & Cea, 1995) when used with Latino college students (n = 156; 34% male, 66% female) who are at-risk for developing diabetes due to family history of this disease. An exploratory principal-axis factor analysis yielded four significant factors – curability, personal responsibility, symptom variability/seriousness, and personal attributions – which accounted for 35% of variance and reflected a psychosocial-biomedical common sense perspective of diabetes. Factor-based analyses revealed differences in diabetes illness beliefs based on students’ age, generational status, acculturation orientation, and disease experience of the afflicted relative.

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