Results 61 to 70 of about 349 (155)

Topic Words‐Based Multilingual Hateful Linguistic Resources Construction for Developing Multilingual Hateful Content Detection Model Using Deep Learning Technique

open access: yesIET Information Security, Volume 2025, Issue 1, 2025.
Nowadays, social media platforms provide space that allows communication and sharing of various resources using a variety of natural languages in different cultural and multilingual aspects. Although this interconnectedness offers numerous benefits, it also exposes users to the risk of encountering offensive (OFFN) and harmful content, including ...
Naol Bakala Defersha   +3 more
wiley   +1 more source

A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction

open access: yesStatistical Analysis and Data Mining: The ASA Data Science Journal, Volume 17, Issue 6, December 2024.
ABSTRACT Data visualization is an important aspect of exploratory data analysis which requires expertise, posing a challenge to many users. In this work, we present a conversational system designed to make data visualization accessible, where users can generate visualizations of data by natural language conversational interaction with the system.
Abari Bhattacharya   +7 more
wiley   +1 more source

AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes [PDF]

open access: yesProceedings 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
openaire   +2 more sources

Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models

open access: yesJournal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.
In this study, the authors present a novel methodology adept at decoding multilingual topic dynamics and identifying communication trends during crises. We focus on dialogues within Tunisian social networks during the coronavirus pandemic and other notable themes like sports and politics. We start by aggregating a varied multilingual corpus of comments
Samawel Jaballi   +6 more
wiley   +1 more source

Design and Development of a Framework for an Automatic Answer Evaluation System Based on Similarity Measures

open access: yesJournal of Intelligent Systems, 2017
The assessment of answers is an important process that requires great effort from evaluators. This assessment process requires high concentration without any fluctuations in mood.
Ramamurthy Madhumitha   +1 more
doaj   +1 more source

Dynamic verbs in the Wordnet of Polish

open access: yesCognitive Studies | Études cognitives, 2018
Dynamic verbs in the Wordnet of Polish The paper presents patterns of co-occurrences of wordnet relations involving verb lexical units in plWordNet - a large wordnet of Polish.
Agnieszka Dziob, Maciej Piasecki
doaj   +1 more source

Syntopextract—extracting agricultural topics using polysemy and topic coherence

open access: yesDiscover Computing
Agricultural research and policy documents exhibit high levels of lexical redundancy and polysemy, making it difficult to interpret topic results derived from traditional word-based models.
Prafulla Bafna, Archana Varade
doaj   +1 more source

ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation

open access: yesIEEE Access, 2019
ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
doaj   +1 more source

On the Semiautomatic Generation of WordNet Type Synsets and Clusters

open access: yesJ. Univers. Comput. Sci., 2002
JUCS - Journal of Universal Computer Science Volume Nr.
openaire   +2 more sources

Indexing with WordNet synsets can improve Text Retrieval

open access: yesCoRR, 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 0001   +3 more
openaire   +3 more sources

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