Sparse Overcomplete Word Vector Representations

5 June 2015

Papers citing "Sparse Overcomplete Word Vector Representations"

25 / 25 papers shown

Title
The Complexity of Learning Sparse Superposed Features with Feedback Akash Kumar 163 0 0 08 Feb 2025
The Geometry of Tokens in Internal Representations of Large Language Models Karthik Viswanathan Yuri Gardinazzi Giada Panerai Alberto Cazzaniga Matteo Biagetti AIFin 94 4 0 17 Jan 2025
The Geometry of Concepts: Sparse Autoencoder Feature Structure Yuxiao Li Eric J. Michaud David D. Baek Joshua Engels Xiaoqing Sun Max Tegmark 52 7 0 10 Oct 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla Alexander X. Oesterling Suraj Srinivas Flavio du Pin Calmon Himabindu Lakkaraju 44 35 0 16 Feb 2024
Sparse Autoencoders Find Highly Interpretable Features in Language Models Hoagy Cunningham Aidan Ewart Logan Riggs R. Huben Lee Sharkey MILM 33 335 0 15 Sep 2023
Discovering Universal Geometry in Embeddings with ICA Hiroaki Yamagiwa Momose Oyama Hidetoshi Shimodaira 31 13 0 22 May 2023
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings Jan Engler Sandipan Sikdar Marlene Lutz M. Strohmaier 32 7 0 11 Jan 2023
Tsetlin Machine Embedding: Representing Words Using Logical Expressions Bimal Bhattarai Ole-Christoffer Granmo Lei Jiao Rohan Kumar Yadav Jivitesh Sharma NAI 14 12 0 02 Jan 2023
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 35 80 0 30 Aug 2021
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval Kyoung-Rok Jang Junmo Kang Giwon Hong Sung-Hyon Myaeng Joohee Park Taewon Yoon Heecheol Seo 39 20 0 15 Apr 2021
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering Jinhyuk Lee Minjoon Seo Hannaneh Hajishirzi Jaewoo Kang RALM LRM 13 31 0 07 Nov 2019
Interpretable Word Embeddings via Informative Priors Miriam Hurtado Bodell Martin Arvidsson Måns Magnusson 27 18 0 03 Sep 2019
Interpretable Neural Predictions with Differentiable Binary Variables Jasmijn Bastings Wilker Aziz Ivan Titov 23 211 0 20 May 2019
Analytical Methods for Interpretable Ultradense Word Embeddings Philipp Dufter Hinrich Schütze 23 25 0 18 Apr 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing Katikapalli Subramanyam Kalyan S. Sangeetha 17 82 0 04 Mar 2019
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation Mikel Artetxe Gorka Labaka I. Lopez-Gazpio Eneko Agirre 16 41 0 06 Sep 2018
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell Pia Sommerauer Antske Fokkens 16 27 0 05 Sep 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure Lutfi Kerem Senel Ihsan Utlu Furkan Şahinuç H. Ozaktas Aykut Kocc 29 14 0 19 Jul 2018
Arabic Named Entity Recognition using Word Representations Ismail El Bazi Nabil Laachfoubi 18 16 0 16 Apr 2018
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World S. Garg Irina Rish Guillermo Cecchi A. Lozano OffRL CLL 23 6 0 22 Jan 2017
A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution Shaohua Li Jun Zhu C. Miao 10 29 0 16 Aug 2015
Non-distributional Word Vector Representations Manaal Faruqui Chris Dyer NAI 46 81 0 17 Jun 2015
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 18 701 0 02 Jun 2015
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 87 2,980 0 04 Mar 2010