ACL 2019 分析

word embedding

22篇！

Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings

Zied Haj-Yahia, Adrien Sieg and Léa A. Deleris

A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity

Yoshinari Fujinuma, Jordan Boyd-Graber and Michael J. Paul

How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

Goran Glavaš, Robert Litschko, Sebastian Ruder and Ivan Vulić

Diachronic Sense Modeling with Deep Contextualized Word Embeddings: An Ecological View

Renfen Hu, Shen Li and Shichen Liang

Understanding Undesirable Word Embedding Associations

Kawin Ethayarajh, David Duvenaud and Graeme Hirst

Shared-Private Bilingual Word Embeddings for Neural Machine Translation

Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao and Jingbo Zhu

Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation

Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao

Gender-preserving Debiasing for Pre-trained Word Embeddings

Masahiro Kaneko and Danushka Bollegala

Relational Word Embeddings

Jose Camacho-Collados, Luis Espinosa Anke and Steven Schockaert

Classification and Clustering of Arguments with Contextualized Word Embeddings

Nils Reimers, Benjamin Schiller, Tilman Beck, Johannes Daxenberger, Christian Stab and Iryna Gurevych

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings

Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre and Hinrich Schütze

Unsupervised Multilingual Word Embedding with Limited Resources using Neural Language Models

Takashi Wada, Tomoharu Iwata and Yuji Matsumoto

Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation Models

Xiaolei Huang and Michael J. Paul

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar

Word2Sense: Sparse Interpretable Word Embeddings

Abhishek Panigrahi, Harsha Vardhan Simhadri and Chiranjib Bhattacharyya

Analyzing the limitations of cross-lingual word embedding mappings

Aitor Ormazabal, Mikel Artetxe, Gorka Labaka, Aitor Soroa and Eneko Agirre

A Transparent Framework for Evaluating Unintended Demographic Bias in Word Embeddings

Chris Sweeney and Maryam Najafian

Unsupervised Joint Training of Bilingual Word Embeddings

Benjamin Marie and Atsushi Fujita

Exploring Numeracy in Word Embeddings

Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose and Eduard Hovy

Analyzing and Mitigating Gender Bias in Languages with Grammatical Gender and Bilingual Word Embeddings

Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen and Kai-Wei Chang

On Dimensional Linguistic Properties of the Word Embedding Space

Vikas Raunak, Vaibhav Kumar, Vivek Gupta and Florian Metze

Towards incremental learning of word embeddings using context informativeness

Alexandre Kabbach, Kristina Gulordava and Aurélie Herbelot

Word Representation

Sequence Tagging with Contextual and Non-Contextual Subword Representations: A Multilingual Evaluation

Benjamin Heinzerling and Michael Strube

Word Vector

3 篇

Unraveling Antonym's Word Vectors through a Siamese-like Network

Mathias Etcheverry and Dina Wonsever

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors

Shoaib Jameel and Steven Schockaert

Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical Entailment

Goran Glavaš and Ivan Vulić

Word

LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories

Ignacio Iacobacci and Roberto Navigli

Few-Shot Representation Learning for Out-Of-Vocabulary Words

Ziniu Hu, Ting Chen, Kai-Wei Chang and Yizhou Sun

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings

Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar

Text Categorization by Learning Predominant Sense of Words as Auxiliary Task

Kazuya Shimura, Jiyi Li and Fumiyo Fukumoto

Learning to Discover, Ground and Use Words with Segmental Neural Language Models

Kazuya Kawakami, Chris Dyer and Phil Blunsom

Multiple Character Embeddings for Chinese Word Segmentation

Jianing Zhou, Jingkang Wang and Gongshen Liu

标签：分析,Word,Unsupervised,Neural,ACL,2019,Embedding,Sense,Embeddings
来源： https://www.cnblogs.com/fengyubo/p/11143253.html