Results 71 to 80 of about 5,494 (182)
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Type-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language.
Ammar, Waleed +3 more
core +1 more source
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
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
Text Classification Using Association Rules, Dependency Pruning and Hyperonymization
We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders.
Haralambous, Yannis, Lenca, Philippe
core +3 more sources
Dynamic verbs in the Wordnet of Polish
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
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
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
New Perspectives in Sinographic Language Processing Through the Use of Character Structure
Chinese characters have a complex and hierarchical graphical structure carrying both semantic and phonetic information. We use this structure to enhance the text model and obtain better results in standard NLP operations.
A. Guder-Manitius +14 more
core +3 more sources
Text Representation with WordNet Synsets Using Soft Sense Disambiguation [PDF]
Le traitement de l'information textuelle depend de facon critique de la representation adequate des textes. La representation sous la forme d'un sac de mots qui le composent est un moyen couramment utilise. Cette representation presente deux inconvenients, a savoir la polysemie et la synonymie qui sont les consequences de l'ambiguite des mots et du ...
Ganesh Ramakrishnanan +1 more
openaire +1 more source
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

