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Wissensrohstoff Text : Eine Einführung in das Text Mining
Biemann, Chris (VerfasserIn); Heyer, Gerhard (VerfasserIn). - 2., wesentl. überarb. Auflage 2022. - Wiesbaden : Springer Fachmedien Wiesbaden GmbH, 2022
IDS Mannheim
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Language Models Explain Word Reading Times Better Than Empirical Predictability ...
BASE
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3
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change ...
BASE
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4
Language Models Explain Word Reading Times Better Than Empirical Predictability
In: Front Artif Intell (2022)
BASE
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5
Probing Pre-trained Language Models for Semantic Attributes and their Values ...
BASE
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6
WebAnno-MM: EXMARaLDA meets WebAnno
Remus, Steffen [Verfasser]; Hedeland, Hanna [Verfasser]; Ferger, Anne [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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7
Comparison of Different Lexical Resources With Respect to the Tip-of-the-Tongue Problem
In: ISSN: 1598-2327 ; EISSN: 1976-6939 ; Journal of Cognitive Science ; https://hal.archives-ouvertes.fr/hal-03168850 ; Journal of Cognitive Science, Institute for Cognitive Science, Seoul National University, 2020, 21 (2), pp.193-252. ⟨10.17791/jcs.2020.21.2.193⟩ (2020)
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Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets ...
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9
Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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10
Individual corpora predict fast memory retrieval during reading ...
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11
Individual corpora predict fast memory retrieval during reading ...
Abstract: The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two months on a tablet, generating individual corpus samples of 300/500K tokens. Then we trained word2vec models from individual corpora and a 70 million-sentence newspaper corpus to obtain individual and norm-based long-term memory structure. To test whether individual corpora can make better predictions for a cognitive task of long-term memory retrieval, we generated stimulus materials consisting of 134 sentences with uncorrelated individual and norm-based word probabilities. For the subsequent eye tracking study 1-2 months later, our regression analyses revealed that individual, but not norm-corpus-based word probabilities can account for first-fixation duration and first-pass gaze duration. Word length additionally affected gaze duration and total viewing duration. The results suggest that corpora representative for an individual's ... : Proceedings of the 6th workshop on Cognitive Aspects of the Lexicon (CogALex-VI), Barcelona, Spain, December 12, 2020; accepted manuscript; 11 pages, 2 figures, 4 Tables ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Information Retrieval cs.IR
URL: https://dx.doi.org/10.48550/arxiv.2010.10176
https://arxiv.org/abs/2010.10176
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12
Token-based spelling variant detection in Middle Low German texts [<Journal>]
Barteld, Fabian [Verfasser]; Biemann, Chris [Verfasser]; Zinsmeister, Heike [Verfasser]
DNB Subject Category Language
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13
Unsupervised Induction of Domain Dependency Graphs - Extracting, Understanding and Visualizing Domain Knowledge
Kohail, Sarah [Verfasser]; Biemann, Chris [Akademischer Betreuer]. - Hamburg : Staats- und Universitätsbibliothek Hamburg, 2019
DNB Subject Category Language
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14
Making Fast Graph-based Algorithms with Graph Metric Embeddings ...
BASE
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15
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings ...
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Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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Datasets for Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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19
Adaptive Approaches to Natural Language Processing in Annotation and Application ; Adaptive Ansätze zur Verarbeitung natürlicher Sprache in Annotation und Anwendung
Yimam, Seid Muhie. - : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2019
BASE
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20
HHMM at SemEval-2019 Task 2: Unsupervised frame induction using contextualized word embeddings
Arefyev, Nikolay; Panchenko, Alexander; Anwar, Saba. - : Association for Computational Linguistics, ACL, 2019
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