DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation

Nikolaos Malandrakis; Elias Iosif; Vassiliki Prokopi; Alexandros Potamianos; Shrikanth Narayanan

DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation

Nikolaos Malandrakis, Elias Iosif, Vassiliki Prokopi, Alexandros Potamianos, Shrikanth Narayanan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper describes our submission for the ∗SEM shared task of Semantic Textual Similarity. We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic similarity between non-matching words, 3) string similarity metrics, 4) affective content similarity and 5) sentence length. Domain adaptation is applied in the form of independent models and a model selection strategy achieving a mean correlation of 0.47.

Original language	English
Title of host publication	SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task
Subtitle of host publication	Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity
Editors	Mona Diab, Tim Baldwin, Marco Baroni
Publisher	Association for Computational Linguistics (ACL)
Pages	103-108
Number of pages	6
ISBN (Electronic)	9781937284480
Publication status	Published - 2013
Externally published	Yes
Event	2nd Joint Conference on Lexical and Computational Semantics, SEM 2013 - Atlanta, United States Duration: 13 Jun 2013 → 14 Jun 2013

Publication series

Name	SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

Conference

Conference	2nd Joint Conference on Lexical and Computational Semantics, SEM 2013
Country/Territory	United States
City	Atlanta
Period	13/06/13 → 14/06/13

Cite this

Malandrakis, N., Iosif, E., Prokopi, V., Potamianos, A., & Narayanan, S. (2013). DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. In M. Diab, T. Baldwin, & M. Baroni (Eds.), SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity (pp. 103-108). (SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity). Association for Computational Linguistics (ACL).

Malandrakis, Nikolaos ; Iosif, Elias ; Prokopi, Vassiliki et al. / DeepPurple : Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. editor / Mona Diab ; Tim Baldwin ; Marco Baroni. Association for Computational Linguistics (ACL), 2013. pp. 103-108 (SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity).

@inproceedings{fc449ead60904e3195f94916f70e372b,

title = "DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation",

abstract = "This paper describes our submission for the ∗SEM shared task of Semantic Textual Similarity. We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic similarity between non-matching words, 3) string similarity metrics, 4) affective content similarity and 5) sentence length. Domain adaptation is applied in the form of independent models and a model selection strategy achieving a mean correlation of 0.47.",

author = "Nikolaos Malandrakis and Elias Iosif and Vassiliki Prokopi and Alexandros Potamianos and Shrikanth Narayanan",

note = "Publisher Copyright: {\textcopyright}2013 Association for Computational Linguistics.; 2nd Joint Conference on Lexical and Computational Semantics, SEM 2013 ; Conference date: 13-06-2013 Through 14-06-2013",

year = "2013",

language = "English",

series = "SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity",

publisher = "Association for Computational Linguistics (ACL)",

pages = "103--108",

editor = "Mona Diab and Tim Baldwin and Marco Baroni",

booktitle = "SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task",

}

Malandrakis, N, Iosif, E, Prokopi, V, Potamianos, A & Narayanan, S 2013, DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. in M Diab, T Baldwin & M Baroni (eds), SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity, Association for Computational Linguistics (ACL), pp. 103-108, 2nd Joint Conference on Lexical and Computational Semantics, SEM 2013, Atlanta, United States, 13/06/13.

DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. / Malandrakis, Nikolaos; Iosif, Elias; Prokopi, Vassiliki et al.
SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. ed. / Mona Diab; Tim Baldwin; Marco Baroni. Association for Computational Linguistics (ACL), 2013. p. 103-108 (SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - DeepPurple

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AU - Malandrakis, Nikolaos

AU - Iosif, Elias

AU - Prokopi, Vassiliki

AU - Potamianos, Alexandros

AU - Narayanan, Shrikanth

PY - 2013

Y1 - 2013

N2 - This paper describes our submission for the ∗SEM shared task of Semantic Textual Similarity. We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic similarity between non-matching words, 3) string similarity metrics, 4) affective content similarity and 5) sentence length. Domain adaptation is applied in the form of independent models and a model selection strategy achieving a mean correlation of 0.47.

AB - This paper describes our submission for the ∗SEM shared task of Semantic Textual Similarity. We estimate the semantic similarity between two sentences using regression models with features: 1) n-gram hit rates (lexical matches) between sentences, 2) lexical semantic similarity between non-matching words, 3) string similarity metrics, 4) affective content similarity and 5) sentence length. Domain adaptation is applied in the form of independent models and a model selection strategy achieving a mean correlation of 0.47.

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M3 - Conference contribution

AN - SCOPUS:85123692032

T3 - SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

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BT - SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task

A2 - Diab, Mona

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A2 - Baroni, Marco

PB - Association for Computational Linguistics (ACL)

Y2 - 13 June 2013 through 14 June 2013

ER -

Malandrakis N, Iosif E, Prokopi V, Potamianos A, Narayanan S. DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation. In Diab M, Baldwin T, Baroni M, editors, SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity. Association for Computational Linguistics (ACL). 2013. p. 103-108. (SEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual SimilaritySEM 2013 - 2nd Joint Conference on Lexical and Computational Semantics, Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity).

DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation

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