Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words

19 September 2017

Papers citing "Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words"

10 / 10 papers shown

Title
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models Keigo Takahashi Danushka Bollegala 65 5 0 16 Apr 2022
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms Jingyi He Kc Tsiolis Kian Kenyon-Dean Jackie C.K. Cheung 80 7 0 05 Nov 2020
Learning Geometric Word Meta-Embeddings Pratik Jawanpuria N. Dev Anoop Kunchukuttan Bamdev Mishra FedML 15 13 0 20 Apr 2020
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings G. R. Claramunt Rodrigo Agerri German Rigau 32 7 0 17 Jan 2020
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity Nina Poerner Ulli Waltinger Hinrich Schütze AI4TS 27 20 0 09 Nov 2019
Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition Genta Indra Winata Zhaojiang Lin Jamin Shin Zihan Liu Pascale Fung 25 19 0 18 Sep 2019
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction Hu Xu Bing-Quan Liu Lei Shu Philip S. Yu 13 325 0 11 May 2018
Dynamic Meta-Embeddings for Improved Sentence Representations Douwe Kiela Changhan Wang Kyunghyun Cho AI4TS 28 108 0 21 Apr 2018
Frustratingly Easy Meta-Embedding -- Computing Meta-Embeddings by Averaging Source Word Embeddings Joshua Coates Danushka Bollegala 8 86 0 14 Apr 2018
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 110 2,982 0 04 Mar 2010