Within-between lexical relation classification

Oren Barkan; Avi Caciularu; Ido Dagan

Within-between lexical relation classification

Oren Barkan, Avi Caciularu, Ido Dagan

نتاج البحث: فصل من :كتاب / تقرير / مؤتمر › منشور من مؤتمر › مراجعة النظراء

ملخص

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.

اللغة الأصلية	الإنجليزيّة
عنوان منشور المضيف	EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
ناشر	Association for Computational Linguistics (ACL)
الصفحات	3521-3527
عدد الصفحات	7
رقم المعيار الدولي للكتب (الإلكتروني)	9781952148606
حالة النشر	نُشِر - 2020
منشور خارجيًا	نعم
الحدث	2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020 - Virtual, Online المدة: ١٦ نوفمبر ٢٠٢٠ → ٢٠ نوفمبر ٢٠٢٠

سلسلة المنشورات

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

!!Conference

!!Conference	2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020
المدينة	Virtual, Online
المدة	١٦/١١/٢٠ → ٢٠/١١/٢٠

ملاحظة ببليوغرافية

Publisher Copyright:
© 2020 Association for Computational Linguistics

الملفات والروابط الأخرى

Link to publication in Scopus

قم بذكر هذا

Barkan, O., Caciularu, A., & Dagan, I. (2020). Within-between lexical relation classification. في EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (الصفحات 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. الصفحات 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",

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}

Barkan, O, Caciularu, A & Dagan, I 2020, Within-between lexical relation classification. في 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), الصفحات 3521-3527, 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Virtual, Online, ١٦/١١/٢٠.

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. صفحة 3521-3527 (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

نتاج البحث: فصل من :كتاب / تقرير / مؤتمر › منشور من مؤتمر › مراجعة النظراء

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

Within-between lexical relation classification

ملخص

سلسلة المنشورات

!!Conference

ملاحظة ببليوغرافية

الملفات والروابط الأخرى

بصمة

قم بذكر هذا