Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning

31 May 2017

Papers citing "Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaning"

29 / 29 papers shown

Title
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models Anna A. Ivanova Aalok Sathe Benjamin Lipkin Unnathi Kumar S. Radkani ... Leshem Choshen Roger Levy Evelina Fedorenko Josh Tenenbaum Jacob Andreas 46 23 0 15 May 2024
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty Kaitlyn Zhou Jena D. Hwang Xiang Ren Maarten Sap 36 54 0 12 Jan 2024
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Event knowledge in large language models: the gap between the impossible and the unlikely Carina Kauf Anna A. Ivanova Giulia Rambelli Emmanuele Chersoni Jingyuan Selena She Zawad Chowdhury Evelina Fedorenko Alessandro Lenci 37 67 0 02 Dec 2022
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs Maarten Sap Ronan Le Bras Daniel Fried Yejin Choi 27 207 0 24 Oct 2022
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models Kanishka Misra Julia Taylor Rayz Allyson Ettinger 33 10 0 05 Oct 2022
A Property Induction Framework for Neural Language Models Kanishka Misra Julia Taylor Rayz Allyson Ettinger 29 12 0 13 May 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey Jiaoyan Chen Yuxia Geng Zhuo Chen Jeff Z. Pan Yuan He Wen Zhang Ian Horrocks Hua-zeng Chen 30 43 0 18 Dec 2021
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning Yizhen Zhang Minkyu Choi Kuan Han Zhongming Liu VLM 23 15 0 13 Nov 2021
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their Prototypicality Marianna Apidianaki Aina Garí Soler 28 18 0 12 Oct 2021
Do Language Models Know the Way to Rome? Bastien Liétard Mostafa Abdou Anders Søgaard 54 15 0 16 Sep 2021
Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color Mostafa Abdou Artur Kulmizev Daniel Hershcovich Stella Frank Ellie Pavlick Anders Søgaard 19 114 0 13 Sep 2021
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 33 19 0 22 Jul 2021
Recent Trends in Named Entity Recognition (NER) Aryan Roy 28 37 0 25 Jan 2021
Robust Conversational AI with Grounded Text Generation Jianfeng Gao Baolin Peng Chunyuan Li Jinchao Li Shahin Shayandeh Lars Liden H. Shum 20 21 0 07 Sep 2020
Mental representations of objects reflect the ways in which we interact with them K. Lam Francisco Pereira M. Vaziri-Pashkam Kristina Woodard Emalie McMahon OCL 13 1 0 22 Jun 2020
Probing Contextual Language Models for Common Ground with Visual Representations Gabriel Ilharco Rowan Zellers Ali Farhadi Hannaneh Hajishirzi 30 14 0 01 May 2020
Experience Grounds Language Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio ... Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian 21 351 0 21 Apr 2020
Probing Neural Language Models for Human Tacit Assumptions Nathaniel Weir Adam Poliak Benjamin Van Durme 21 6 0 10 Apr 2020
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat Alina Arseniev-Koehler J. Foster 43 46 0 24 Mar 2020
Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text Ian Porada Kaheer Suleman Jackie C.K. Cheung 43 13 0 13 Nov 2019
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations Jeff Da Jungo Kasai LRM 16 40 0 02 Oct 2019
Feature2Vec: Distributional semantic modelling of human property knowledge Steven Derby Paul Miller Barry Devereux 8 17 0 29 Aug 2019
Do Neural Language Representations Learn Physical Commonsense? Maxwell Forbes Ari Holtzman Yejin Choi NAI LRM AI4CE 13 106 0 08 Aug 2019
Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text Ronen Tamari Hiroyuki Shindo Dafna Shahaf Yuji Matsumoto 8 12 0 10 Nov 2018
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge Steven Derby Paul Miller B. Murphy Barry Devereux 10 14 0 07 Sep 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference Rowan Zellers Yonatan Bisk Roy Schwartz Yejin Choi 24 705 0 16 Aug 2018
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 35 2,823 0 09 Aug 2017
From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney Patrick Pantel 87 2,981 0 04 Mar 2010