Filters








5,910 Hits in 7.3 sec

A word at a time

Kira Radinsky, Eugene Agichtein, Evgeniy Gabrilovich, Shaul Markovitch
2011 Proceedings of the 20th international conference on World wide web - WWW '11  
In this paper, we propose a new semantic relatedness model, Temporal Semantic Analysis (TSA), which captures this temporal information.  ...  Previous approaches to computing semantic relatedness mostly used static language resources, while essentially ignoring their temporal aspects.  ...  Specifically, we introduce Temporal Semantic Analysis (TSA), which leverages this information and computes a refined metric of semantic relatedness.  ... 
doi:10.1145/1963405.1963455 dblp:conf/www/RadinskyAGM11 fatcat:l5omyn5bhzfbjojef7m3f4btaa

[Q:] When Would You Prefer a SOSSAGE to a SAUSAGE? [A:] At about 100 msec. ERP Correlates of Orthographic Typicality and Lexicality in Written Word Recognition

O. Hauk, K Patterson, A. Woollams, L. Watling, F. Pulvermüller, T. T. Rogers
2006 Journal of Cognitive Neuroscience  
The two main factors interacted significantly at around 160 msec, where words showed a typicality effect but pseudowords did not.  ...  At $200 msec, the ERP pattern revealed a significant lexicality effect, with pseudowords eliciting stronger brain activity than words.  ...  For the exhaustive analysis, paired two-tailed t tests were computed at each electrode for time ranges iden-tified by the initial RMS analysis.  ... 
doi:10.1162/jocn.2006.18.5.818 pmid:16768380 fatcat:66lx4nlnxbf2jp5z5ykkngbho4

Learning Word Relatedness over Time [article]

Guy D. Rosin, Eytan Adar, Kira Radinsky
2017 arXiv   pre-print
In this work, we introduce a temporal relationship model that is extracted from longitudinal data collections.  ...  Understanding the temporal intent of the user and retrieving the most relevant historical content has become a significant challenge.  ...  Sagi et al. (2009) used Latent Semantic Analysis for detecting changes in word meaning.  ... 
arXiv:1707.08081v2 fatcat:drzwy42ybvcv5iwbnoupmly2ve

Understanding Ambiguous Words in Biased Sentences: Evidence of Transient Contextual Effects in Individuals with Nonthalamic Subcortical Lesions and Parkinson's Disease* *A portion of the preliminary data from this manuscript was presented at the Academy of Aphasia, 37th Annual Meeting, Venice, Italy, October 25, 1999

David A. Copland, Helen J. Chenery, Bruce E. Murdoch
2000 Cortex  
At the long ISI, only the PD and NSL individuals failed to selectively activate the contextually appropriate meaning, suggesting a breakdown in the attention-based control of semantic activation through  ...  long ISI (1000 msec), by the presentation of a visual target which was related to the dominant or subordinate meaning, or was an unrelated control word.  ...  While this study provides evidence of a deficit in the attentional control of lexical-semantic operations, the use of a single word context most likely invokes different forms of processing than those  ... 
doi:10.1016/s0010-9452(08)70541-0 pmid:11195910 fatcat:fd5niva62nfathyl2bmziwhsia

A Computationally Efficient Measure for Word Semantic Relatedness Using Time Series

Arash Joorabchi, Alaa Alahmadi, Michael English, Abdulhussain E. Mahdi
2017 2017 9th IEEE-GCC Conference and Exhibition (GCCCE)  
The extracted footprints are represented as time series, their similarities is measured using the Minkowski distance, and averaged using a correlation-based weighting scheme to quantify the words semantic  ...  Measurement of words semantic relatedness plays an important role in a wide range of natural language processing and information retrieval applications, such as full-text search, summarization, classification  ...  Temporal Semantic Analysis (TSA) [16] is a temporally enhanced version of ESA which has achieved the state-of-theart performance in WSR.  ... 
doi:10.1109/ieeegcc.2017.8448264 fatcat:2egim5eszjc2fcr57ghldqvg4y

Temporal Random Indexing: A System for Analysing Word Meaning over Time

Annalina Caputo, Pierpaolo Basile, Giovanni Semeraro
2015 Italian Journal of Computational Linguistics  
This paper describes a method that enables the analysis of the time evolution of the meaning of a word.  ...  We propose some examples of usage of our tool by analysing word meanings in two corpora: a collection of Italian books and English scientific papers about computational linguistics.  ...  This analysis is useful to detect linguistic events that emerge in specific time intervals and that can be related to social or cultural phenomena.  ... 
doi:10.4000/ijcol.315 fatcat:h5dkzyhni5fm7jhzuxau7tey5q

Tagging over time

Ritendra Datta, Dhiraj Joshi, Jia Li, James Z. Wang
2007 Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07  
The T/T framework consists of a principled probabilistic approach to metalearning, which acts as a go-between for a 'black-box' annotation system and the users.  ...  The black-box annotation model is not required to be re-trained, allowing computationally intensive algorithms to be used.  ...  Semantic relatedness here is determined by thresholding the LCH relatedness score W (·, ·) between pairs of words (a score of 1.7, ∼ 50 percentile of the range, was arbitrarily chosen as threshold).  ... 
doi:10.1145/1291233.1291328 dblp:conf/mm/DattaJLW07 fatcat:76ad6sovvjcgxk5hoayujhfwnm

LEARNING WORD RELATEDNESS OVER TIME FOR TEMPORAL RANKING

Dinda Sigmawaty, Mirna Adriani
2019 Jurnal Ilmu Komputer dan Informasi  
Given a query that is implicitly time sensitive, we develop a temporal ranking using the important times of query by drawing from the distribution of query trend relatedness over time.  ...  We apply our model using three temporal word embeddings algorithms to learn relatedness of words from news archive in Bahasa Indonesia: (1) QT-W2V-Rank using Word2Vec (2) QT-OW2V-Rank using OrthoTrans-Word2Vec  ...  Temporal Text Relatedness Word Embeddings Word embeddings aim to represent words with low-dimensional vectors where those with similar context are closer in semantic space.  ... 
doi:10.21609/jiki.v12i2.745 fatcat:zco5v6xohne25nojbdgzhvqaam

Tracking the Evolution of Words with Time-reflective Text Representations [article]

Roberto Camacho Barranco, Raimundo F. Dos Santos, M. Shahriar Hossain
2019 arXiv   pre-print
Such temporal word vectors allow us to track how the meaning of a word changes over time, by studying the changes in its neighborhood.  ...  The advent of word embeddings has enabled us to create a contextual vector space, but the embeddings fail to consider the temporal aspects of the feature space successfully.  ...  [44] use a similar technique but introduce the supervised task of semantic relatedness, which attempts to predict if two words are related at a certain point in time.  ... 
arXiv:1807.04441v2 fatcat:crq3gzy5wjf33m2ekkvpk6ruhu

Graded Aspects of Morphological Processing: Task and Processing Time

Laurie Beth Feldman, Brendon Prostko
2002 Brain and Language  
Importantly, the effects of morphological relatedness and orthographic similarity diverged along a time course that reflected semantic processing but could only be approximated by the effect of semantic  ...  Morphological relatedness produced facilitation whose magnitude varied across a range of stimulus onset asynchronies (SOAs of 66-300 ms) and tasks.  ...  Acknowledgments The research reported here was conducted at The University at Albany, SUNY, and was supported by funds from National Institute of Child Health and Development Grant HD-01994 to Haskins  ... 
doi:10.1006/brln.2001.2503 pmid:12081378 pmcid:PMC2896719 fatcat:gctfp2pbmfafnpvk53ie7ayvru

The time course of building discourse coherence in schizophrenia: An ERP investigation

Tali Ditman, Gina R. Kuperberg
2007 Psychophysiology  
Results suggest that schizophrenia patients, particularly those with positive thought disorder, fail to make immediate use of discourse context to build up semantic coherence in the brain.  ...  Although patients were slower than controls, both groups used the discourse context similarly as evidenced by similar reaction time patterns across conditions.  ...  ERP Data Analysis All analyses were conducted on the mean amplitudes of ERPs evoked by critical words (using a 100-ms prestimulus baseline) over a 375-500-ms time window.  ... 
doi:10.1111/j.1469-8986.2007.00565.x pmid:17666031 fatcat:ys4pyoow5bd5djnbbl7n6azmdi

The timing of verb selection in Japanese sentence production

Shota Momma, L. Robert Slevc, Colin Phillips
2016 Journal of Experimental Psychology. Learning, Memory and Cognition  
If this is the case, then advance verb selection may be due to the semantic necessity to compute a predicate and its internal argument in tandem, or at least temporally closely, either at the conceptual  ...  Conclusion The current study used an extended picture-word interference paradigm to probe the time course of verb planning, using Japanese as a test case due to its strongly verb-final word order.  ... 
doi:10.1037/xlm0000195 pmid:26569434 fatcat:z7skcdho7re2bdpy7objujzd4i

Morphological and semantic effects in visual word recognition: A time-course study

Kathleen Rastle, Matt H. Davis, William D. Marslen-Wilson, Lorraine K. Tyler
2000 Language and Cognitive Processes  
Some theories of visual word recognition postulate that there is a level of processing or representation at which morphemes are treated differently from whole words.  ...  Results showed that morphological structure plays a signi cant role in the early visual recognition of English words that is independent of both semantic and orthographic relatedness.  ...  In an attempt to validate these relatedness judgements, we also measured semantic relatedness using Latent Semantic Analysis (LSA; Landauer & Dumais, 1997) .  ... 
doi:10.1080/01690960050119689 fatcat:uriv4ww675gllevulf66wffpae

The time course of automatic lexical access and aging

Catherine Stern, Penny Prather, David Swinney, Edgar Zurif
1991 Brain and Language  
Elderly and college-aged subjects performed a lexical decision task wherein semantically related words embedded in a continuous list were presented one at a time with a varying (300-1500 msec) inter-word  ...  The use of a continuous list, a repeated word, and a very short inter-stimulus interval allowed automatic lexical access to be straightforwardly examined.  ...  DISCUSSION In order to determine the time course of lexical access in the aging adult, facilitation effects to semantically related words were measured at six different ISIs.  ... 
doi:10.1016/0093-934x(91)90135-n pmid:2054592 fatcat:lphnjzntmbdyhmkbqfh6tkmhg4

Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials

Ben D. Amsel
2011 Neuropsychologia  
are a crucial element of the constellation of processes constituting word meaning computation in the brain.  ...  The dynamic time courses and topographies of these effects are most consistent with a flexible conceptual system wherein temporally dynamic recruitment of representations in modal and supramodal cortex  ...  neural activity using single-trial ERPs, which provide a real-time window into word meaning computation. 1.1.  ... 
doi:10.1016/j.neuropsychologia.2011.01.003 pmid:21219919 fatcat:62tabarct5bldb3wwa6keutqve
« Previous Showing results 1 — 15 out of 5,910 results