DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4
Hits 1 – 20 of 69

1
Analyzing Gender Representation in Multilingual Models ...
BASE
Show details
2
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
Show details
3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
Show details
4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
BASE
Show details
5
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models ...
BASE
Show details
6
Including Signed Languages in Natural Language Processing ...
BASE
Show details
7
Including Signed Languages in Natural Language Processing ...
BASE
Show details
8
Contrastive Explanations for Model Interpretability ...
BASE
Show details
9
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? ...
BASE
Show details
10
Measuring and Improving Consistency in Pretrained Language Models ...
BASE
Show details
11
Aligning Faithful Interpretations with their Social Attribution ...
BASE
Show details
12
Amnesic Probing: Behavioral Explanation With Amnesic Counterfactuals ...
BASE
Show details
13
Data Augmentation for Sign Language Gloss Translation ...
BASE
Show details
14
Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent ...
BASE
Show details
15
Asking It All: Generating Contextualized Questions for any Semantic Role ...
BASE
Show details
16
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
BASE
Show details
17
Neural Extractive Search ...
Abstract: Domain experts often need to extract structured information from large corpora. We advocate for a search paradigm called ``extractive search'', in which a search query is enriched with capture-slots, to allow for such rapid extraction. Such an extractive search system can be built around syntactic structures, resulting in high-precision, low-recall results. We show how the recall can be improved using neural retrieval and alignment. The goals of this paper are to concisely introduce the extractive-search paradigm; and to demonstrate a prototype neural retrieval system for extractive search and its benefits and potential. Our prototype is available at \url{https://spike.neural-sim.apps.allenai.org/} and a video demonstration is available at \url{https://vimeo.com/559586687}. ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://dx.doi.org/10.48448/8zya-1x84
https://underline.io/lecture/28648-neural-extractive-search
BASE
Hide details
18
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction ...
BASE
Show details
19
Ab Antiquo: Neural Proto-language Reconstruction ...
NAACL 2021 2021; Goldberg, Yoav; Meloni, Carlo. - : Underline Science Inc., 2021
BASE
Show details
20
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
In: ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03161637 ; ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle / Virtual, United States. pp.538-555, ⟨10.18653/v1/2020.acl-main.51⟩ (2020)
BASE
Show details

Page: 1 2 3 4

Catalogues
0
0
0
0
0
0
0
Bibliographies
1
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
1
0
0
0
Open access documents
67
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern