Against Complete Precedence and Temporal Overlap in the Semantics of Tense and Aspect

1986 ◽  
Vol 10 (2) ◽  
pp. 467-474
Author(s):  
Carl Vikner
Keyword(s):  
Temporal Relations ◽  
Tense And Aspect ◽  
Hans Kamp ◽  
Temporal Overlap

Carl Vikner: "Against complete precedence and temporal overlap in the semantics of tense and aspect". The paper criticizes the use of the relations complete precedence and temporal overlap, in some recent and influential works of Hans Kamp, to represent the temporal relations between events and situations as expressed by French Passé Simple and Imparfait. These relations are replaced by the relation of (simple) precedence defined over beginnings of events and by the relation of inclusion holding between the beginning of an event and a situation in its entirety.

FINDING TEMPORAL STRUCTURE IN TEXT: MACHINE LEARNING OF SYNTACTIC TEMPORAL RELATIONS

2007 ◽  
Vol 01 (04) ◽  
pp. 441-457 ◽  
Author(s):  
STEVEN BETHARD ◽  
JAMES H. MARTIN ◽  
SARA KLINGENSTEIN
Keyword(s):  
Machine Learning ◽  
Support Vector Machine ◽  
Temporal Structure ◽  
Learning Model ◽  
High Accuracy ◽  
Support Vector ◽  
Automatic Extraction ◽  
Temporal Relations ◽  
Tense And Aspect ◽  
Machine Learning Model

This research proposes and evaluates a linguistically motivated approach to extracting temporal structure from text. Pairs of events in a verb-clause construction were considered, where the first event is a verb and the second event is the head of a clausal argument to that verb. All pairs of events in the TimeBank that participated in verb-clause constructions were selected and annotated with the labels BEFORE, OVERLAP and AFTER. The resulting corpus of 895 event-event temporal relations was then used to train a machine learning model. Using a combination of event-level features like tense and aspect with syntax-level features like the paths through the syntactic tree, support vector machine (SVM) models were trained which could identify new temporal relations with 89.2% accuracy. High accuracy models like these are a first step towards automatic extraction of temporal structure from text.

Aspect and tense in evidentials

2017 ◽  
Author(s):  
Ana Arregui ◽  
María Luisa Rivero ◽  
Andrés Salanova
Keyword(s):  
Careful Analysis ◽  
Amazon Region ◽  
Slavic Language ◽  
Temporal Relations ◽  
Temporal Reference ◽  
Tense And Aspect ◽  
Central Brazil ◽  
Usual Interpretation

This chapter investigates the interaction between evidential categories and temporal anchoring in Bulgarian, a South Slavic language, Mébengokre, a Jê language in Central Brazil, and Matses, a Panoan language in the Amazon region in Brazil and Peru. It argues that temporal categories retain their usual interpretation in evidential contexts both in Mébengokre, a language whose evidential system seems independent from tense, and in Bulgarian and Matses, two languages where evidential markers are fused with temporal categories. The conclusion is that there is no need to hypothesize an independent “evidential” system of temporal reference in these languages. A careful analysis of tense and aspect, with particular attention to aspectual interpretations, can account for cases in which temporal relations appear to shift in evidential contexts. The chapter thus argues against the postulation of independent “evidential specific” temporal paradigms.

A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data

Methodology ◽  
2019 ◽  
Vol 15 (Supplement 1) ◽  
pp. 43-60 ◽  
Author(s):  
Florian Scharf ◽  
Steffen Nestler
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Simple Structure ◽  
Ground Truth ◽  
Event Related Potential ◽  
Suitable Alternative ◽  
Factor Rotation ◽  
Rotation Methods ◽  
Simple Structure Rotation ◽  
Temporal Overlap

Abstract. It is challenging to apply exploratory factor analysis (EFA) to event-related potential (ERP) data because such data are characterized by substantial temporal overlap (i.e., large cross-loadings) between the factors, and, because researchers are typically interested in the results of subsequent analyses (e.g., experimental condition effects on the level of the factor scores). In this context, relatively small deviations in the estimated factor solution from the unknown ground truth may result in substantially biased estimates of condition effects (rotation bias). Thus, in order to apply EFA to ERP data researchers need rotation methods that are able to both recover perfect simple structure where it exists and to tolerate substantial cross-loadings between the factors where appropriate. We had two aims in the present paper. First, to extend previous research, we wanted to better understand the behavior of the rotation bias for typical ERP data. To this end, we compared the performance of a variety of factor rotation methods under conditions of varying amounts of temporal overlap between the factors. Second, we wanted to investigate whether the recently proposed component loss rotation is better able to decrease the bias than traditional simple structure rotation. The results showed that no single rotation method was generally superior across all conditions. Component loss rotation showed the best all-round performance across the investigated conditions. We conclude that Component loss rotation is a suitable alternative to simple structure rotation. We discuss this result in the light of recently proposed sparse factor analysis approaches.

Temporal Relations in Pure Tone Masking

1968 ◽  
Author(s):  
Richard H. Ehmer ◽  
Barbara J. Ehmer ◽  
John G. Seamon ◽  
H. Harvey Cohen
Keyword(s):  
Pure Tone ◽  
Temporal Relations

An Eye-Tracking Study of Describing Event Temporal Relations

2004 ◽  
Author(s):  
Shulan Lu ◽  
James Wallace ◽  
Arthur C. Graesser ◽  
Barry Gholson
Keyword(s):  
Eye Tracking ◽  
Temporal Relations

Perfektives und Imperfektives Partizip

2020 ◽  
Vol 28 ◽  
pp. 27-79
Author(s):  
Marc Brose
Keyword(s):  
Tense And Aspect ◽  
History Of Research ◽  
New Concepts ◽  
History Of ◽  
Basic Semantic

“Perfective and Imperfective Participle”: This article deals with the basic semantic opposition of the two types of Egyptian participles, jri̯ and jrr. After an extended overview of the history of research presenting the classical approaches of K. Sethe and A. H. Gardiner, who both used established terms of models of tense and aspect, and also the advanced approaches of W. Schenkel, J. P. Allen, K. Jansen-Winkeln and E. Oreál, who introduced new concepts and terminolgy and so tried to overcome the classical approaches, it is nevertheless shown that the classification of the opposition as “perfective–imperfective”, with modernized definitions in contrast to Gardiner’s, suffices to explain the entire functional range of the two types and that the advanced approaches are not necessary.

scholarly journals Femtosecond Pulse Temporal Overlap Estimation and Adjustment in SSFS-Based CARS System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 131317-131325 ◽  
Author(s):  
Yongning Zhang ◽  
Junfeng Jiang ◽  
Shuang Wang ◽  
Kun Liu ◽  
Zhe Ma ◽  
...  
Keyword(s):  
Femtosecond Pulse ◽  
Temporal Overlap

scholarly journals Cañari children, cows and milk production: Toward ch’ixi temporalities in the Andes

Childhood ◽  
2021 ◽  
pp. 090756822199161
Author(s):  
Veronica Pacini-Ketchabaw ◽  
Cristina D Vintimilla ◽  
Alex Berry
Keyword(s):  
Milk Production ◽  
Ethnographic Research ◽  
Temporal Relations ◽  
The Andes

This article considers the intersection of multiple and, at times, seemingly conflicting temporalities in Andean childhoods. We draw on Silvia Rivera Cusicanqui’s scholarship on Andean sociology and our ethnographic research with Cañari families to argue that Cañari families’ and children’s relations with cows and milk production are fueled by both capitalist and Andean temporalities that cannot be thought as opposites. These temporal relations do not create confusion or limiting binaries but are, we propose, itinerant. We show how Cañari children’s and cows’ collective lives are knitted within ch’ixi temporalities.

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