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Harmonic Mean01:09

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The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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Interference: Path Lengths01:10

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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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Modes of Standing Waves - I01:03

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A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This...
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2D NMR: Homonuclear Correlation Spectroscopy (COSY)01:06

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Homonuclear correlation spectroscopy, or COSY, is a 2-dimensional NMR technique that provides information about coupled protons. Typically, the geminal and vicinal coupling are observed. For example, consider the COSY spectrum of ethyl acetate, where its 1D proton NMR spectrum is plotted along the vertical and horizontal axes with their corresponding chemical shift scale. Three spots on the diagonal corresponding to the three peaks in the 1D proton spectrum are called diagonal peaks. The COSY...
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Related Experiment Video

Updated: Apr 1, 2026

Transcranial Direct Current Stimulation tDCS of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
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Harmony Search Algorithm for Word Sense Disambiguation.

Saad Adnan Abed1, Sabrina Tiun1, Nazlia Omar1

  • 1Knowledge Technology Research Group (KT), Centre for Artificial Intelligent (CAIT), Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

Plos One
|October 1, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an unsupervised method for Word Sense Disambiguation (WSD) using Harmony Search Algorithm (HSA) and a dependency parser. The approach effectively identifies correct word meanings in context, achieving results comparable to existing WSD techniques.

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Area of Science:

  • Natural Language Processing
  • Computational Linguistics
  • Artificial Intelligence

Background:

  • Word Sense Disambiguation (WSD) is crucial for understanding text meaning.
  • Ambiguous words in sentences lead to multiple interpretations.
  • Existing WSD methods often require supervised learning.

Purpose of the Study:

  • To propose an unsupervised method for WSD.
  • To leverage knowledge-based approaches with Harmony Search Algorithm (HSA).
  • To enhance WSD accuracy using semantic similarity and dependency parsing.

Main Methods:

  • Utilized a Stanford dependencies generator (HSDG) for sentence parsing.
  • Employed Harmony Search Algorithm (HSA) to maximize semantic similarity.
  • Integrated Jiang and Conrath (jcn) and adapted Lesk algorithm for HSA fitness function.

Main Results:

  • The proposed unsupervised WSD method achieved results comparable to state-of-the-art techniques.
  • Experiments on benchmark datasets demonstrated the effectiveness of the approach.
  • Evaluation without a parser showed the importance of the dependency generator.

Conclusions:

  • The developed unsupervised WSD method is effective for disambiguating word senses.
  • The integration of HSA and dependency parsing offers a robust solution.
  • This approach provides a valuable contribution to natural language understanding.