Results 71 to 80 of about 818 (197)
Journal 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
, 2023 Includes SP-USM and SP-WSD variants, at sensekey and synset level, and SVD-300d version.
Daniel Loureiro (13832797)
core +1 more source
Propagation of emotions, arousal and polarity inWordNet using Heterogeneous Structured Synset Embeddings [PDF]
, 2019 In this paper we present a novel method for emotive propagation in a wordnet based on a large emotive seed. We introduce a sense-level emotive lexicon annotated with polarity, arousal and emotions.
Piasecki, Maciej +10 more
core
Dynamic verbs in the Wordnet of Polish
Cognitive 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
Mapping Persian Words to WordNet Synsets
Int. J. Interact. Multim. Artif. Intell., 2009 Lexical ontologies are one of the main resources for developing natural language processing and semantic web applications. Mapping lexical ontologies of different languages is very important for inter-lingual tasks. On the other hand mapping approaches can be implied to build lexical ontologies for a new language based on pre-existing resources of ...
Dehkharghani, Rahim +1 more
openaire +3 more sources
Syntopextract—extracting agricultural topics using polysemy and topic coherence
Discover ComputingAgricultural 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
Journal 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
ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation
IEEE 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
Intent Detection Using Contextualized Deep SemSpace
, 2023 In this study, a new approach called Contextualized Deep SemSpace is proposed for intent detection. First, the synset vectors are determined by training the generalized SemSpace method with the WordNet 3.1 data.
Tosun E.G., Ozkaya O., Orhan U.
core +1 more source
Detection and Typology of Psalmic Text Reuses in the New Testament
ReligionsIn the context of the BiblIndex project, which is an online index of biblical textual reuses by the Church Fathers, intrabiblical intertextuality must be considered to better understand the underlying basis of the Church Fathers’ thought.
Théotime de la Selle, Laurence Mellerin
doaj +1 more source