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Distributional Modeling on a Diet: One-shot Word Learning from Text Only
v1v2v3v4 (latest)

Distributional Modeling on a Diet: One-shot Word Learning from Text Only

14 April 2017
Su Wang
Stephen Roller
K. Erk
ArXiv (abs)PDFHTML

Papers citing "Distributional Modeling on a Diet: One-shot Word Learning from Text Only"

8 / 8 papers shown
Slot Attention-based Feature Filtering for Few-Shot Learning
Slot Attention-based Feature Filtering for Few-Shot Learning
Javier Rodenas
Eduardo Aguilar
Petia Radeva
189
2
0
13 Aug 2025
Stochastic-based Patch Filtering for Few-Shot Learning
Stochastic-based Patch Filtering for Few-Shot Learning
Javier Rodenas
Eduardo Aguilar
Petia Radeva
162
0
0
13 Aug 2025
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language
  Models to Generalize to Novel Interpretations
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel InterpretationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Arkil Patel
S. Bhattamishra
Siva Reddy
Dzmitry Bahdanau
261
8
0
18 Oct 2023
Semantic Novelty Detection and Characterization in Factual Text
  Involving Named Entities
Semantic Novelty Detection and Characterization in Factual Text Involving Named EntitiesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nianzu Ma
Sahisnu Mazumder
A. Politowicz
Bing-Quan Liu
Eric Robertson
Scott Grigsby
217
1
0
31 Oct 2022
An Attention-Based Model for Predicting Contextual Informativeness and
  Curriculum Learning Applications
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications
Sungjin Nam
David Jurgens
Gwen Frishkoff
Kevyn Collins-Thompson
264
0
0
21 Apr 2022
Structural Supervision Improves Few-Shot Learning and Syntactic
  Generalization in Neural Language Models
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Ryosuke Kohita
R. Levy
Miguel Ballesteros
NAI
279
13
0
12 Oct 2020
Interpretable Entity Representations through Large-Scale Typing
Interpretable Entity Representations through Large-Scale TypingFindings (Findings), 2020
Yasumasa Onoe
Greg Durrett
277
21
0
30 Apr 2020
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from TextConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ian Porada
Kaheer Suleman
Jackie C.K. Cheung
162
14
0
13 Nov 2019
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