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1
A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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3
A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
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4
EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022
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5
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised? ...
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6
Word-embedding based bilingual terminology alignment ...
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7
Word-embedding based bilingual terminology alignment ...
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8
Keyword extraction datasets for Croatian, Estonian, Latvian and Russian 1.0
Koloski, Boshko; Pollak, Senja; Škrlj, Blaž. - : Ekspress Meedia Group, 2021. : Styria Media Group, 2021
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9
24sata news article archive 1.0
Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021
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10
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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11
Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings not Always Better Than Static for Semantic Change Detection ...
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12
Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
In: Front Aging Neurosci (2021)
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13
Mining semantic relations from comparable corpora through intersections of word embeddings. ...
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14
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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15
Mining semantic relations from comparable corpora through intersections of word embeddings. ...
Abstract: We report an experiment aimed at extracting words expressing a specific semantic relation using intersections of word embeddings. In a multilingual frame-based domain model, specific features of a concept are typically described through a set of non-arbitrary semantic relations. In karstology, our domain of choice which we are exploring though a comparable corpus in English and Croatian, karst phenomena such as landforms are usually described through their FORM, LOCATION, CAUSE, FUNCTION and COMPOSITION. We propose an approach to mine words pertaining to each of these relations by using a small number of seed adjectives, for which we retrieve closest words using word embeddings and then use intersections of these neighbourhoods to refine our search. Such crosslanguage expansion of semantically-rich vocabulary is a valuable aid in improving the coverage of a multilingual knowledge base, but also in exploring differences between languages in their respective conceptualisations of the domain ...
Keyword: comparable corpus; frame-based terminology; karstology; semantic relations; word embeddings
URL: https://zenodo.org/record/3894634
https://dx.doi.org/10.5281/zenodo.3894634
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16
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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17
Reproduction, replication, analysis and adaptation of a term alignment approach [<Journal>]
Repar, Andraž [Verfasser]; Martinc, Matej [Verfasser]; Pollak, Senja [Verfasser]
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18
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift ...
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