DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...7
Hits 1 – 20 of 121

1
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
BASE
Show details
2
Could you give me a hint? Generating inference graphs for defeasible reasoning ...
BASE
Show details
3
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
BASE
Show details
4
Could you give me a hint ? Generating inference graphs for defeasible reasoning ...
BASE
Show details
5
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs ...
BASE
Show details
6
Measuring and Improving Consistency in Pretrained Language Models ...
BASE
Show details
7
More Identifiable yet Equally Performant Transformers for Text Classification ...
BASE
Show details
8
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation ...
BASE
Show details
9
Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding ...
BASE
Show details
10
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers ...
BASE
Show details
11
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ...
Jo, Yohan; Bang, Seojin; Reed, Chris. - : arXiv, 2021
BASE
Show details
12
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ...
Lyu, Yiwei; Liang, Paul Pu; Pham, Hai. - : arXiv, 2021
BASE
Show details
13
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ...
NAACL 2021 2021; Hovy, Eduard; Liang, Paul Pu. - : Underline Science Inc., 2021
BASE
Show details
14
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ...
BASE
Show details
15
Extracting Implicitly Asserted Propositions in Argumentation ...
Jo, Yohan; Visser, Jacky; Reed, Chris. - : arXiv, 2020
BASE
Show details
16
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? ...
Abstract: Although neural models have achieved impressive results on several NLP benchmarks, little is understood about the mechanisms they use to perform language tasks. Thus, much recent attention has been devoted to analyzing the sentence representations learned by neural encoders, through the lens of `probing' tasks. However, to what extent was the information encoded in sentence representations, as discovered through a probe, actually used by the model to perform its task? In this work, we examine this probing paradigm through a case study in Natural Language Inference, showing that models can learn to encode linguistic properties even if they are not needed for the task on which the model was trained. We further identify that pretrained word embeddings play a considerable role in encoding these properties rather than the training task itself, highlighting the importance of careful controls when designing probing experiments. Finally, through a set of controlled synthetic tasks, we demonstrate models can encode ... : EACL 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2005.00719
https://arxiv.org/abs/2005.00719
BASE
Hide details
17
Measuring Forecasting Skill from Text ...
Zong, Shi; Ritter, Alan; Hovy, Eduard. - : arXiv, 2020
BASE
Show details
18
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT ...
BASE
Show details
19
On aligning OpenIE extractions with Knowledge Bases: A case study
Gashteovski, Kiril; Gemulla, Rainer; Kotnis, Bhushan. - : Association for Computational Linguistics (ACL), 2020
BASE
Show details
20
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks
In: Computational Linguistics, Vol 45, Iss 4, Pp 627-665 (2020) (2020)
BASE
Show details

Page: 1 2 3 4 5...7

Catalogues
8
1
8
0
2
0
0
Bibliographies
27
0
0
4
1
0
0
0
7
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
72
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern