A Mixture Model for Learning Multi-Sense Word Embeddings

A Mixture Model for Learning Multi-Sense Word Embeddings

15 June 2017

Dai Quoc Nguyen

Dat Quoc Nguyen

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Papers citing "A Mixture Model for Learning Multi-Sense Word Embeddings"

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Title
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 481 6 2 24 Oct 2024
Information Cascade Prediction under Public Emergencies: A Survey Qi Zhang Guang Wang Li Lin Kaiwen Xia Shuai Wang AI4CE 35 1 0 28 Mar 2024
Probabilistic Deep Metric Learning for Hyperspectral Image Classification Cheng-Hao Wang Wenzhao Zheng Xian Sun Jiwen Lu Jie Zhou 60 2 0 15 Nov 2022
A Survey On Neural Word Embeddings Erhan Sezerer Selma Tekir AI4TS 76 13 0 05 Oct 2021
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses E. F. Ayetiran Petr Sojka Vít Novotný 69 9 0 27 Feb 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 505 210 0 13 Jan 2021
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies Paul Pu Liang Manzil Zaheer Yuan Wang Amr Ahmed BDL 26 1 0 18 Mar 2020
Multi-sense Definition Modeling using Word Sense Decompositions Ruimin Zhu Thanapon Noraset Alisa Liu Wenxin Jiang Doug Downey 41 9 0 19 Sep 2019
BERTScore: Evaluating Text Generation with BERT Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi 418 5,886 0 21 Apr 2019
Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors Yansen Wang Ying Shen Zhun Liu Paul Pu Liang Amir Zadeh Louis-Philippe Morency 106 403 0 23 Nov 2018
From Word to Sense Embeddings: A Survey on Vector Representations of Meaning Jose Camacho-Collados Mohammad Taher Pilehvar 97 342 0 10 May 2018