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Language Models Explain Word Reading Times Better Than Empirical Predictability ...
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SCoT: Sense Clustering over Time: a tool for the analysis of lexical change ...
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3
Language Models Explain Word Reading Times Better Than Empirical Predictability
In: Front Artif Intell (2022)
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Probing Pre-trained Language Models for Semantic Attributes and their Values ...
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5
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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7
Individual corpora predict fast memory retrieval during reading ...
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8
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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9
Watset: Local-global graph clustering with applications in sense and frame induction
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10
Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey
In: Lecture Notes in Computer Science ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE) ; https://hal.inria.fr/hal-02060047 ; 2nd International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2018, Hamburg, Germany. pp.192-211, ⟨10.1007/978-3-319-99740-7_13⟩ (2018)
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11
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction ...
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12
Unsupervised semantic frame induction using triclustering
Panchenko, Alexander; Kutuzov, Andrei; Ponzetto, Simone Paolo. - : Association for Computational Linguistics, 2018
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13
An unsupervised word sense disambiguation system for under-resourced languages
Ustalov, Dmitry; Teslenko, Denis; Panchenko, Alexander. - : European Language Resources Association, ELRA-ELDA, 2018
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14
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation ...
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15
Negative Sampling Improves Hypernymy Extraction Based on Projection Learning ...
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16
Watset: Automatic Induction of Synsets from a Graph of Synonyms ...
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17
Human and Machine Judgements for Russian Semantic Relatedness ...
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18
Unsupervised does not mean uninterpretable : the case for word sense induction and disambiguation
Biemann, Chris; Ponzetto, Simone Paolo; Ruppert, Eugen. - : Association for Computational Linguistics, 2017
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19
Unsupervised, knowledge-free, and interpretable word sense disambiguation
Faralli, Stefano; Panchenko, Alexander; Marten, Fide. - : Association for Computational Linguistics, 2017
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20
The ContrastMedium algorithm : taxonomy induction from noisy knowledge graphs with just a few links
Faralli, Stefano; Panchenko, Alexander; Biemann, Chris. - : Association for Computational Linguistics, 2017
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