Results 21 to 30 of about 6,823 (202)
Automatically constructing Wordnet Synsets [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014 6 ...
Khang Nhứt Lâm +2 more
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AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2015 We present \textit{AutoExtend}, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additional training corpus. The synset/lexeme embeddings obtained live in the same vector space as the word embeddings.
Sascha Rothe, Hinrich Schütze
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Sentiment Analysis of Image with Text Caption using Deep Learning Techniques. [PDF]
Comput Intell Neurosci, 2022 People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the advent of visual media such as images, videos, and GIFs, research on the subject of sentiment analysis has ...
Chaubey PK +7 more
europepmc +2 more sources
On the Semiautomatic Generation of WordNet Type Synsets and Clusters [PDF]
, 2002 JUCS - Journal of Universal Computer Science Volume Nr.
Florentina Hristea
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Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information [PDF]
Findings of the Association for Computational Linguistics: ACL 2022, 2022 In linguistics, a sememe is defined as the minimum semantic unit of languages. Sememe knowledge bases (KBs), which are built by manually annotating words with sememes, have been successfully applied to various NLP tasks. However, existing sememe KBs only cover a few languages, which hinders the wide utilization of sememes.
Fanchao Qi +5 more
+6 more sources
A Visually Enhanced Neural Encoder for Synset Induction [PDF]
Electronics, 2023 The synset induction task is to automatically cluster semantically identical instances, which are often represented by texts and images. Previous works mainly consider textual parts, while ignoring the visual counterparts. However, how to effectively employ the visual information to enhance the semantic representation for the synset induction is ...
Guang Chen +4 more
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Paraphrase detection using semantic relatedness based on Synset Shortest Path in WordNet [PDF]
2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA), 2016 Jun Choi Lee, Yu–N Cheah
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Automatic Induction of Synsets from a Graph of Synonyms [PDF]
Proceedings of the 55th Annual Meeting of the Association for
Computational Linguistics (Volume 1: Long Papers), 2017 12 pages, 3 figures, 6 tables, accepted to ACL ...
Dmitry Ustalov +2 more
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Syn2Vec: Synset Colexification Graphs for Lexical Semantic Similarity
North American Chapter of the Association for Computational Linguistics, 2022 In this paper we focus on patterns of colexification (co-expressions of form-meaning mapping in the lexicon) as an aspect of lexical-semantic organization, and use them to build large scale synset graphs across BabelNet’s typologically diverse set of 499
John Harvill +2 more
semanticscholar +1 more source
Automatic Construction of Persian ICT WordNet using Princeton WordNet [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical
A. Ahmadi Tameh +2 more
doaj +1 more source