Within-between lexical relation classification

Oren Barkan; Avi Caciularu; Ido Dagan

Within-between lexical relation classification

Oren Barkan
, Avi Caciularu
, Ido Dagan

פרסום מחקרי: פרק בספר / בדוח / בכנס › פרסום בספר כנס › ביקורת עמיתים

תקציר

We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words. Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation. We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.

שפה מקורית	אנגלית
כותר פרסום המארח	EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
מוציא לאור	Association for Computational Linguistics (ACL)
עמודים	3521-3527
מספר עמודים	7
מסת"ב (אלקטרוני)	9781952148606
סטטוס פרסום	פורסם - 2020
פורסם באופן חיצוני	כן
אירוע	2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 - Virtual, Online משך הזמן: 16 נוב׳ 2020 → 20 נוב׳ 2020

סדרות פרסומים

שם	EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

כנס

כנס	2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020
עיר	Virtual, Online
תקופה	16/11/20 → 20/11/20

הערה ביבליוגרפית

Publisher Copyright:
© 2020 Association for Computational Linguistics

קבצים וקישורים אחרים

Link to publication in Scopus

פורמט ציטוט ביבליוגרפי

Barkan, O., Caciularu, A., & Dagan, I. (2020). Within-between lexical relation classification. ב- EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (עמודים 3521-3527). (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL).

Barkan, Oren ; Caciularu, Avi ; Dagan, Ido. / Within-between lexical relation classification. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. עמודים 3521-3527 (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

@inproceedings{983299a5c8334e1a8873abc4bdc99f8f,

title = "Within-between lexical relation classification",

abstract = "We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words. Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation. We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.",

author = "Oren Barkan and Avi Caciularu and Ido Dagan",

note = "Publisher Copyright: {\textcopyright} 2020 Association for Computational Linguistics; 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 ; Conference date: 16-11-2020 Through 20-11-2020",

year = "2020",

language = "אנגלית",

series = "EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",

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

pages = "3521--3527",

booktitle = "EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",

address = "ארצות הברית",

}

Barkan, O, Caciularu, A & Dagan, I 2020, Within-between lexical relation classification. ב- EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), עמודים 3521-3527, 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Virtual, Online, 16/11/20.

Within-between lexical relation classification. / Barkan, Oren; Caciularu, Avi; Dagan, Ido.
EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2020. עמוד 3521-3527 (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

פרסום מחקרי: פרק בספר / בדוח / בכנס › פרסום בספר כנס › ביקורת עמיתים

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AU - Caciularu, Avi

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PY - 2020

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AB - We propose the novel Within-Between Relation model for recognizing lexical-semantic relations between words. Our model integrates relational and distributional signals, forming an effective sub-space representation for each relation. We show that the proposed model is competitive and outperforms other baselines, across various benchmarks.

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T3 - EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

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BT - EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

PB - Association for Computational Linguistics (ACL)

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Barkan O, Caciularu A, Dagan I. Within-between lexical relation classification. ב- EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2020. עמוד 3521-3527. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

Within-between lexical relation classification

תקציר

סדרות פרסומים

כנס

הערה ביבליוגרפית

קבצים וקישורים אחרים

טביעת אצבע

פורמט ציטוט ביבליוגרפי