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Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language
  Models

Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models

7 January 2021
Oscar Sainz
German Rigau
    VLM
ArXivPDFHTML

Papers citing "Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models"

14 / 14 papers shown
Title
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual
  Captioning of Human Movement Trajectories
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories
Hikaru Asano
Ryo Yonetani
Taiki Sekii
Hiroki Ouchi
77
0
0
19 Sep 2024
Pointing out the Shortcomings of Relation Extraction Models with
  Semantically Motivated Adversarials
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
Gennaro Nolano
Moritz Blum
Basil Ell
Philipp Cimiano
38
1
0
29 Feb 2024
What do Language Models know about word senses? Zero-Shot WSD with
  Language Models and Domain Inventories
What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories
Oscar Sainz
Oier López de Lacalle
Eneko Agirre
German Rigau
35
6
0
07 Feb 2023
Zero-Shot Text Classification with Self-Training
Zero-Shot Text Classification with Self-Training
Ariel Gera
Alon Halfon
Eyal Shnarch
Yotam Perlitz
L. Ein-Dor
Noam Slonim
VLM
31
59
0
31 Oct 2022
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle
  Semantic Variations in Question Answering?
Why Do Neural Language Models Still Need Commonsense Knowledge to Handle Semantic Variations in Question Answering?
Sunjae Kwon
Cheongwoong Kang
Jiyeon Han
Jaesik Choi
29
0
0
01 Sep 2022
Template-based Approach to Zero-shot Intent Recognition
Template-based Approach to Zero-shot Intent Recognition
Dmitry Lamanov
Pavel Burnyshev
Ekaterina Artemova
Valentin Malykh
A. Bout
Irina Piontkovskaya
20
9
0
22 Jun 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
Oscar Sainz
Itziar Gonzalez-Dios
Oier López de Lacalle
Bonan Min
Eneko Agirre
36
49
0
03 May 2022
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple
  Verbalizations
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations
Oscar Sainz
Haoling Qiu
Oier López de Lacalle
Eneko Agirre
Bonan Min
SyDa
37
12
0
25 Mar 2022
Distilling Hypernymy Relations from Language Models: On the
  Effectiveness of Zero-Shot Taxonomy Induction
Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction
Devansh Jain
Luis Espinosa Anke
28
12
0
10 Feb 2022
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
83
1,039
0
01 Nov 2021
Label Verbalization and Entailment for Effective Zero- and Few-Shot
  Relation Extraction
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction
Oscar Sainz
Oier López de Lacalle
Gorka Labaka
Ander Barrena
Eneko Agirre
16
117
0
08 Sep 2021
Language Model as an Annotator: Exploring DialoGPT for Dialogue
  Summarization
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization
Xiachong Feng
Xiaocheng Feng
Libo Qin
Bing Qin
Ting Liu
VLM
26
91
0
26 May 2021
Predicting Themes within Complex Unstructured Texts: A Case Study on
  Safeguarding Reports
Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports
A. Edwards
David Rogers
Jose Camacho-Collados
Hélène de Ribaupierre
Alun D. Preece
23
1
0
27 Oct 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
320
31,297
0
16 Jan 2013
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