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Specializing Word Embeddings (for Parsing) by Information Bottleneck

Specializing Word Embeddings (for Parsing) by Information Bottleneck

1 October 2019
Xiang Lisa Li
Jason Eisner
ArXiv (abs)PDFHTML

Papers citing "Specializing Word Embeddings (for Parsing) by Information Bottleneck"

41 / 41 papers shown
Title
Learning Distribution-Wise Control in Representation Space for Language Models
Learning Distribution-Wise Control in Representation Space for Language Models
Chunyuan Deng
Ruidi Chang
Hanjie Chen
24
0
0
07 Jun 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
Jiaqi Bai
Hongcheng Guo
Zhongyuan Peng
Jian Yang
Zhiyu Li
Mingze Li
Zhihong Tian
VLM
106
2
0
28 Feb 2025
Distilling Monolingual and Crosslingual Word-in-Context Representations
Distilling Monolingual and Crosslingual Word-in-Context Representations
Yuki Arase
Tomoyuki Kajiwara
71
0
0
13 Sep 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
O. Ostapenko
Zhan Su
Edoardo Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Caccia
Alessandro Sordoni
MoMe
111
37
0
18 May 2024
Protecting Your LLMs with Information Bottleneck
Protecting Your LLMs with Information Bottleneck
Zichuan Liu
Zefan Wang
Linjie Xu
Jinyu Wang
Lei Song
Tianchun Wang
Chunlin Chen
Wei Cheng
Jiang Bian
KELMAAML
129
18
0
22 Apr 2024
Decoding Continuous Character-based Language from Non-invasive Brain
  Recordings
Decoding Continuous Character-based Language from Non-invasive Brain Recordings
Cenyuan Zhang
Xiaoqing Zheng
Ruicheng Yin
Shujie Geng
Jianhan Xu
...
Changze Lv
Zixuan Ling
Xuanjing Huang
Miao Cao
Jianfeng Feng
114
0
0
17 Mar 2024
When does word order matter and when doesn't it?
When does word order matter and when doesn't it?
Xuanda Chen
T. O'Donnell
Siva Reddy
103
1
0
29 Feb 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable
  Aspect-based Sentiment Analysis
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
Zhenxiao Cheng
Jie Zhou
Wen Wu
Qin Chen
Liang He
84
0
0
28 Feb 2024
Enhancing Phrase Representation by Information Bottleneck Guided Text
  Diffusion Process for Keyphrase Extraction
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
Yuanzhen Luo
Qingyu Zhou
F. Zhou
DiffM
65
2
0
17 Aug 2023
Span-based Named Entity Recognition by Generating and Compressing
  Information
Span-based Named Entity Recognition by Generating and Compressing Information
Nhung T. H. Nguyen
Makoto Miwa
Sophia Ananiadou
74
10
0
10 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose
  (Non-)Compositionality
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers
Ivan Titov
88
2
0
31 Jan 2023
Rationalizing Predictions by Adversarial Information Calibration
Rationalizing Predictions by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
77
7
0
15 Jan 2023
A Multi-Format Transfer Learning Model for Event Argument Extraction via
  Variational Information Bottleneck
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
Jie Zhou
Qi Zhang
Qin Chen
Liang He
Xuanjing Huang
109
21
0
27 Aug 2022
Text Revision by On-the-Fly Representation Optimization
Text Revision by On-the-Fly Representation Optimization
Jingjing Li
Zichao Li
Tao Ge
Irwin King
Michael R. Lyu
BDL
93
18
0
15 Apr 2022
Bridging Pre-trained Language Models and Hand-crafted Features for
  Unsupervised POS Tagging
Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
Houquan Zhou
Yang Li
Zhenghua Li
Min Zhang
BDL
59
3
0
19 Mar 2022
Hierarchical Interpretation of Neural Text Classification
Hierarchical Interpretation of Neural Text Classification
Hanqi Yan
Lin Gui
Yulan He
107
14
0
20 Feb 2022
Quantifying the Task-Specific Information in Text-Based Classifications
Quantifying the Task-Specific Information in Text-Based Classifications
Zining Zhu
Aparna Balagopalan
Marzyeh Ghassemi
Frank Rudzicz
76
4
0
17 Oct 2021
PAC-Bayes Information Bottleneck
PAC-Bayes Information Bottleneck
Zifeng Wang
Shao-Lun Huang
E. Kuruoglu
Jimeng Sun
Xi Chen
Yefeng Zheng
105
36
0
29 Sep 2021
Variational Information Bottleneck for Effective Low-Resource
  Fine-Tuning
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
DRL
78
76
0
10 Jun 2021
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP:
  The Role of Sample Size and Dimensionality
Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
Adithya Ganesan
Matthew Matero
Aravind Reddy Ravula
Huy-Hien Vu
H. Andrew Schwartz
90
35
0
07 May 2021
On Geodesic Distances and Contextual Embedding Compression for Text
  Classification
On Geodesic Distances and Contextual Embedding Compression for Text Classification
Rishi Jha
Kai Mihata
46
6
0
22 Apr 2021
Linguistic Dependencies and Statistical Dependence
Linguistic Dependencies and Statistical Dependence
Jacob Louis Hoover
Alessandro Sordoni
Wenyu Du
Timothy J. O'Donnell
77
15
0
18 Apr 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal
  Person Re-Identification
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
Xudong Tian
Zhizhong Zhang
Shaohui Lin
Yanyun Qu
Yuan Xie
Lizhuang Ma
90
115
0
07 Apr 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by
  Quantifying Previously Used and Unused Information
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
Zhengqi He
Taro Toyoizumi
66
1
0
08 Jan 2021
SemGloVe: Semantic Co-occurrences for GloVe from BERT
SemGloVe: Semantic Co-occurrences for GloVe from BERT
Leilei Gan
Zhiyang Teng
Yue Zhang
Linchao Zhu
Leilei Gan
Yi Yang
75
17
0
30 Dec 2020
Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
203
38
0
16 Dec 2020
Exploring Pair-Wise NMT for Indian Languages
Exploring Pair-Wise NMT for Indian Languages
Kartheek Akella
Sai Himal Allu
S. Ragupathi
Aman Singhal
Zeeshan Khan
Vinay P. Namboodiri
C. V. Jawahar
61
7
0
10 Dec 2020
Deep Clustering of Text Representations for Supervision-free Probing of
  Syntax
Deep Clustering of Text Representations for Supervision-free Probing of Syntax
Vikram Gupta
Haoyue Shi
Kevin Gimpel
Mrinmaya Sachan
91
9
0
24 Oct 2020
Unsupervised Distillation of Syntactic Information from Contextualized
  Word Representations
Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
Shauli Ravfogel
Yanai Elazar
Jacob Goldberger
Yoav Goldberg
81
12
0
11 Oct 2020
Learning Variational Word Masks to Improve the Interpretability of
  Neural Text Classifiers
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
Hanjie Chen
Yangfeng Ji
AAMLVLM
131
66
0
01 Oct 2020
Improving Robustness and Generality of NLP Models Using Disentangled
  Representations
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu
Xiaoya Li
Xiang Ao
Yuxian Meng
Leilei Gan
Jiwei Li
OODDRL
43
11
0
21 Sep 2020
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An
  Information-Theoretic Framework
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
Qi Tan
Yang Liu
Jiming Liu
AI4TS
65
8
0
14 Sep 2020
MICE: Mining Idioms with Contextual Embeddings
MICE: Mining Idioms with Contextual Embeddings
Tadej Škvorc
P. Gantar
Marko Robnik-Šikonja
33
19
0
13 Aug 2020
Building Interpretable Interaction Trees for Deep NLP Models
Building Interpretable Interaction Trees for Deep NLP Models
Die Zhang
Huilin Zhou
Hao Zhang
Xiaoyi Bao
Da Huo
Ruizhao Chen
Xu Cheng
Mengyue Wu
Quanshi Zhang
FAtt
37
3
0
29 Jun 2020
The Dual Information Bottleneck
The Dual Information Bottleneck
Zoe Piran
Ravid Shwartz-Ziv
Naftali Tishby
75
15
0
08 Jun 2020
Finding Universal Grammatical Relations in Multilingual BERT
Finding Universal Grammatical Relations in Multilingual BERT
Ethan A. Chi
John Hewitt
Christopher D. Manning
96
151
0
09 May 2020
Emergence of Syntax Needs Minimal Supervision
Emergence of Syntax Needs Minimal Supervision
Raphaël Bailly
Kata Gábor
100
5
0
03 May 2020
An Information Bottleneck Approach for Controlling Conciseness in
  Rationale Extraction
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
89
101
0
01 May 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MAVLM
463
1,500
0
18 Mar 2020
Compressing BERT: Studying the Effects of Weight Pruning on Transfer
  Learning
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
Mitchell A. Gordon
Kevin Duh
Nicholas Andrews
VLM
105
343
0
19 Feb 2020
The Convex Information Bottleneck Lagrangian
The Convex Information Bottleneck Lagrangian
Borja Rodríguez Gálvez
Ragnar Thobaben
Mikael Skoglund
62
29
0
25 Nov 2019
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