Results 41 to 50 of about 1,795,335 (248)
Efficient estimation of Hindi WSD with distributed word representation in vector space
Word Sense Disambiguation (WSD) is significant for improving the accuracy of the interpretation of a Natural language text. Various supervised learning-based models and knowledge-based models have been developed in the literature for WSD of the language ...
Archana Kumari, D.K. Lobiyal
doaj
An Optimized Lesk-Based Algorithm for Word Sense Disambiguation
Computational complexity is a characteristic of almost all Lesk-based algorithms for word sense disambiguation (WSD). In this paper, we address this issue by developing a simple and optimized variant of the algorithm using topic composition in documents ...
Ayetiran Eniafe Festus, Agbele Kehinde
doaj +1 more source
Evaluating the semantic web: a task-based approach [PDF]
The increased availability of online knowledge has led to the design of several algorithms that solve a variety of tasks by harvesting the Semantic Web, i.e. by dynamically selecting and exploring a multitude of online ontologies.
A. Hotho+15 more
core +3 more sources
AutoExtend: Combining Word Embeddings with Semantic Resources
We present AutoExtend, a system that combines word embeddings with semantic resources by learning embeddings for non-word objects like synsets and entities and learning word embeddings that incorporate the semantic information from the resource.
Sascha Rothe, Hinrich Schütze
doaj +1 more source
Word Sense Disambiguation Using Heterogeneous Language Resources [PDF]
This paper proposes a robust method for word sense disambiguation (WSD) of Japanese. Four classifiers were combined in order to improve recall and applicability: one used example sentences in a machine readable dictionary (MRD), one used grammatical information in an MRD, and two classifiers were obtained by supervised learning from a sense-tagged ...
Kiyoaki Shirai, Takayuki Tamagaki
openaire +2 more sources
Theories of ownership have long focussed on the institutions governing resource stocks such as land, and largely neglected the ownership of resource flows such as the crops that flow from that land.
Tilman Hartley
doaj +1 more source
Comparative Analysis of Recurrent Neural Network Architectures for Arabic Word Sense Disambiguation
: Word Sense Disambiguation (WSD) refers to the process of discovering the correct sense of an ambiguous word occurring in a given context. In this paper, we address the problem of Word Sense Disambiguation of low-resource languages such as Arabic ...
R. Saidi, Fethi Jarray, M. Alsuhaibani
semanticscholar +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
A Crowdsourced Frame Disambiguation Corpus with Ambiguity
We present a resource for the task of FrameNet semantic frame disambiguation of over 5,000 word-sentence pairs from the Wikipedia corpus. The annotations were collected using a novel crowdsourcing approach with multiple workers per sentence to capture ...
Aroyo, Lora+2 more
core +2 more sources
The study of homonymy is vital to resolving fundamental problems in lexical semantics. In this paper, we propose four hypotheses that characterize the unique behavior of homonyms in the context of translations, discourses, collocations, and sense ...
Hauer, Bradley, Kondrak, Grzegorz
core +1 more source