Results 51 to 60 of about 20,348 (235)
Toponym Extraction and Disambiguation from Text: A Survey
Toponym is an essential element of geospatial information. Traditionally, toponyms are collected in a gazetteer through field surveys that require significant resources, including labor, time, and money.
Rizka Windiastuti +2 more
doaj +1 more source
MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
Entity linking has recently been the subject of a significant body of research. Currently, the best performing approaches rely on trained mono-lingual models. Porting these approaches to other languages is consequently a difficult endeavor as it requires
Bryl Volha +14 more
core +1 more source
SupWSD: a flexible toolkit for supervised word sense disambiguation [PDF]
In this demonstration we present SupWSD, a Java API for supervised Word Sense Disambiguation (WSD). This toolkit includes the implementation of a state-of-the-art supervised WSD system, together with a Natural Language Processing pipeline for ...
DELLI BOVI, Claudio +2 more
core +1 more source
Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in word sense ...
Mosima A. Masethe +2 more
doaj +1 more source
Enriching Frame Representations with Distributionally Induced Senses [PDF]
We introduce a new lexical resource that enriches the Framester knowledge graph, which links Framnet, WordNet, VerbNet and other resources, with semantic features from text corpora.
Biemann, Chris +3 more
core +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]
Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
core +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
A Word Sense-Oriented User Interface for Interactive Multilingual Text Retrieval [PDF]
In this paper we present an interface for supporting a user in an interactive cross-language search process using semantic classes. In order to enable users to access multilingual information, different problems have to be solved: disambiguating and ...
DeLuca, Ernesto William +1 more
core
Capacity building needed to reap the benefits of access to biodiversity collections
Global conservation efforts increasingly depend on digitised natural history collections, yet the benefits of this digital data are not equally shared. We analysed biodiversity specimens and citation data from Montserrat and the Cayman Islands to assess who collected these specimens, how they are used, and by whom.
Quentin Groom +16 more
wiley +1 more source

