DE eng

Search in the Catalogues and Directories

Page: 1 2 3
Hits 1 – 20 of 47

1
Language Models Explain Word Reading Times Better Than Empirical Predictability ...
BASE
Show details
2
Language Models Explain Word Reading Times Better Than Empirical Predictability
In: Front Artif Intell (2022)
BASE
Show details
3
Meditation affects word recognition of meditation novices
In: Psychol Res (2021)
BASE
Show details
4
Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words ...
BASE
Show details
5
Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words ...
BASE
Show details
6
Individual corpora predict fast memory retrieval during reading ...
BASE
Show details
7
Individual corpora predict fast memory retrieval during reading ...
BASE
Show details
8
A Lexical Frequency Analysis of Irish Sign Language
In: Other Resources (2020)
BASE
Show details
9
A Lexical Frequency Analysis of Irish Sign Language
In: Articles (2020)
BASE
Show details
10
Zen meditation neutralizes emotional evaluation, but not implicit affective processing of words
Lusnig, Larissa; Radach, Ralph; Mueller, Christina J.. - : Public Library of Science, 2020
BASE
Show details
11
Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning ...
BASE
Show details
12
Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context
Hofmann, Markus; Colton, David. - : Universitat Politècnica de València, 2019
BASE
Show details
13
A qualitative analysis of the Wikipedia N-Substate Algorithm's Enhancement Terms
Goslin, Kyle; Hofmann, Markus. - : Universitat Politècnica de València, 2019
Abstract: [EN] Automatic Search Query Enhancement (ASQE) is the process of modifying a user submitted search query and identifying terms that can be added or removed to enhance the relevance of documents retrieved from a search engine. ASQE differs from other enhancement approaches as no human interaction is required. ASQE algorithms typically rely on a source of a priori knowledge to aid the process of identifying relevant enhancement terms. This paper describes the results of a qualitative analysis of the enhancement terms generated by the Wikipedia NSubstate Algorithm (WNSSA) for ASQE. The WNSSA utilises Wikipedia as the sole source of a priori knowledge during the query enhancement process. As each Wikipedia article typically represents a single topic, during the enhancement process of the WNSSA, a mapping is performed between the user’s original search query and Wikipedia articles relevant to the query. If this mapping is performed correctly, a collection of potentially relevant terms and acronyms are accessible for ASQE. This paper reviews the results of a qualitative analysis process performed for the individual enhancement term generated for each of the 50 test topics from the TREC-9 Web Topic collection. The contributions of this paper include: (a) a qualitative analysis of generated WNSSA search query enhancement terms and (b) an analysis of the concepts represented in the TREC-9 Web Topics, detailing interpretation issues during query-to-Wikipedia article mapping performed by the WNSSA. ; Goslin, K.; Hofmann, M. (2019). A qualitative analysis of the Wikipedia N-Substate Algorithm's Enhancement Terms. Journal of Computer-Assisted Linguistic Research. 3(3):67-77. https://doi.org/10.4995/jclr.2019.11159 ; SWORD ; 67 ; 77 ; 3 ; 3 ; Asfari, Ounas, Doan, Bich-liên, Bourda, Yolaine and Sansonnet, Jean-Paul. 2009. "Personalized Access to Information by Query Reformulation Based on the State of the Current Task and User Profile." Paper presented at Third International Conference on Advances in Semantic Processing, 113-116. IEEE. https://doi.org/10.1109/SEMAPRO.2009.17 ; Bazzanella, Barbara, Stoermer, Heiko, and Bouquet, Paolo. 2010. "Searching for individual entities: A query analysis.", Paper presented at International Conference on Information Reuse & Integration, 115-120. IEEE. https://doi.org/10.1109/IRI.2010.5558955 ; Gao, Jianfeng, Xu , Gu and Xu, Jinxi. 2013. Query expansion using path-constrained random walks. Paper presented at 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR '13), 563-572. ACM. https://doi.org/10.1145/2484028.2484058 ; Goslin, Kyle, Hofmann, Markus. 2017. "A Comparison of Automatic Search Query Enhancement Algorithms That Utilise Wikipedia as a Source of A Priori Knowledge." Paper presented at 9th Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE'17), 6-13. ACM. https://doi.org/10.1145/3158354.3158356 ; Goslin, Kyle, Hofmann, Markus. 2018. "A Wikipedia powered state-based approach to automatic search query enhancement." Journal of Information Processing & Management 54(4), 726-739. Elsevier. https://doi.org/10.1016/j.ipm.2017.10.001 ; Jansen, Bernard, Spink, Amanda, Bateman, Judy and Saracevic, Tefko. 1998. "Real life information retrieval: a study of user queries on the Web." Paper presented at ACM SIGIR Forum 32, 5-17. ACM. https://doi.org/10.1145/281250.281253 ; Mastora, Anna, Monopoli, Maria and Kapidakis, Sarantos. 2008. "Term selection patterns for formulating queries: a User study focused on term semantics." Paper presented at Third International Conference on Digital Information Management, 125-130. IEEE. https://doi.org/10.1109/ICDIM.2008.4746747 ; Ogilvie, Paul, Voorhees, Ellen and Callan, Jamie. 2009. "On the number of terms used in automatic query expansion." Journal of Information Retrieval 12(6): 666. Springer. https://doi.org/10.1007/s10791-009-9104-1 ; Voorhees, Ellen M. 1994. "Query expansion using lexical-semantic relations." Paper presented at the 17th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '94), 61-69. Springer-Verlag. https://doi.org/10.1007/978-1-4471-2099-5_7
Keyword: Automatic Search Query Enhancement; Text Analysis; Wikipedia
URL: https://doi.org/10.4995/jclr.2019.11159
http://hdl.handle.net/10251/123826
BASE
Hide details
14
Non-Manual Articulators in Irish Sign Language Verbs: An Analysis with Data Mining Association Rules
In: Conference Papers (2018)
BASE
Show details
15
Typography and individual experience in digital reading: Do readers’ eye movements adapt to poor justification?
Jarosch, Julian [Verfasser]; Schlesewsky, Matthias [Verfasser]; Füssel, Stephan [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017
DNB Subject Category Language
Show details
16
Taking typography to experimental testing: On the influence of serifs, fonts and justification on eye movements in text reading
Jarosch, Julian [Verfasser]; Schlesewsky, Matthias [Verfasser]; Füssel, Stephan [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017
DNB Subject Category Language
Show details
17
The two sides of prediction error in reading: on the relationship between eye movements and the N400 in sentence processing
Kretzschmar, Franziska [Verfasser]; Alday, Phillip M. [Verfasser]; Radach, Ralph [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017
DNB Subject Category Language
Show details
18
When readers pay attention to the left: A concurrent eyetracking-fMRI investigation on the neuronal correlates of regressive eye movements during reading
Weiß, Anna Fiona [Verfasser]; Kretzschmar, Franziska [Verfasser]; Nagels, Arne [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2017
DNB Subject Category Language
Show details
19
Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ...
BASE
Show details
20
Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ...
BASE
Show details

Page: 1 2 3

Catalogues
0
0
2
0
15
0
0
Bibliographies
1
0
1
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
29
0
0
1
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern