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