Results 21 to 30 of about 2,063 (193)

Indexing with WordNet synsets can improve Text Retrieval [PDF]

open access: greenProceedings of the COLING/ACL'98 Workshop on Usage of WordNet for NLP, Montreal, 1998, 1998
The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, instead of word forms. This result is obtained for a manually disambiguated test collection (of queries and documents) derived from the Semcor semantic concordance.
Julio Gonzalo   +3 more
arxiv   +5 more sources

Building layered, multilingual sentiment lexicons at synset and lemma levels [PDF]

open access: greenExpert Systems with Applications, 2014
Many tasks related to sentiment analysis rely on sentiment lexicons, lexical resources containing information about the emotional implications of words (e.g., sentiment orientation of words, positive or negative). In this work, we present an automatic method for building lemma-level sentiment lexicons, which has been applied to obtain lexicons for ...
Fermín L. Cruz   +3 more
semanticscholar   +5 more sources

Towards Automatic Construction of Filipino WordNet: Word Sense Induction and Synset Induction Using Sentence Embeddings [PDF]

open access: greenarXiv, 2022
Wordnets are indispensable tools for various natural language processing applications. Unfortunately, wordnets get outdated, and producing or updating wordnets can be slow and costly in terms of time and resources. This problem intensifies for low-resource languages.
Dan John Velasco   +5 more
arxiv   +3 more sources

Data-driven synset induction and disambiguation for wordnet development [PDF]

open access: greenLanguage Resources and Evaluation, 2014
Automatic methods for wordnet development in languages other than English generally exploit information found in Princeton WordNet (PWN) and translations extracted from parallel corpora. A common approach consists in preserving the structure of PWN and transferring its content in new languages using alignments, possibly combined with information ...
Marianna Apidianaki, Benoît Sagot
semanticscholar   +6 more sources

When conset meets synset [PDF]

open access: bronzeAnnual Meeting of the Association for Computational Linguistics, 2006
This paper describes an on-going project concerning with an ontological lexical resource based on the abundant conceptual information grounded on Chinese characters.
Shu‐Kai Hsieh, Chu‐Ren Huang
openalex   +2 more sources

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets [PDF]

open access: greenarXiv, 2019
A sememe is defined as the minimum semantic unit of human languages. Sememe knowledge bases (KBs), which contain words annotated with sememes, have been successfully applied to many NLP tasks. However, existing sememe KBs are built on only a few languages, which hinders their widespread utilization.
Fanchao Qi   +4 more
arxiv   +3 more sources

A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation

open access: greenInternational Conference on Interactive Digital Storytelling, 2021
Mijael Ricardo Bueno Perez   +2 more
openalex   +3 more sources

Paraphrase detection using semantic relatedness based on Synset Shortest Path in WordNet [PDF]

open access: green2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA), 2016
This study presents a sentence-to-sentence semantic relatedness measures for paraphrase detection. The proposed measures adopt the shortest path between synsets in WordNet as the core to measure the relatedness between two sentences.
Jun Choi Lee, Yu–N Cheah
openalex   +2 more sources

On the Semiautomatic Generation of WordNet Type Synsets and Clusters [PDF]

open access: green, 2002
JUCS - Journal of Universal Computer Science Volume Nr.
Florentina Hristea
openalex   +3 more sources

A Visually Enhanced Neural Encoder for Synset Induction [PDF]

open access: goldElectronics, 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
openalex   +2 more sources

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