Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity

@inproceedings{Pilehvar2013AlignDA,
  title={Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity},
  author={Mohammad Taher Pilehvar and David Jurgens and Roberto Navigli},
  booktitle={ACL},
  year={2013}
}
Semantic similarity is an essential component of many Natural Language Processing applications. However, prior methods for computing semantic similarity often operate at different levels, e.g., single words or entire documents, which requires adapting the method for each data type. We present a unified approach to semantic similarity that operates at multiple levels, all the way from comparing word senses to comparing text documents. Our method leverages a common probabilistic representation… CONTINUE READING
Highly Influential
This paper has highly influenced 13 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 142 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 98 extracted citations

Not just dissimilar, but opposite: An algorithm for measuring similarity and oppositeness between words

2016 International Conference on Data Science and Engineering (ICDSE) • 2016
View 4 Excerpts
Highly Influenced

Efficient Hybrid Semantic Text Similarity using Wordnet and a Corpus

Issa Atoum, Jordan Ahmed Otoom
2016
View 3 Excerpts
Highly Influenced

A Semantic Logic-Based Approach to Determine Textual Similarity

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2015
View 4 Excerpts
Highly Influenced

142 Citations

02040'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 142 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 66 references

Learning to Merge Word Senses

View 7 Excerpts
Highly Influenced

Topic-sensitive PageRank

View 4 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…