DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5 6
Hits 1 – 20 of 110

1
On Homophony and Rényi Entropy ...
BASE
Show details
2
Backtranslation in Neural Morphological Inflection ...
BASE
Show details
3
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
BASE
Show details
4
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
BASE
Show details
5
An Information-Theoretic Characterization of Morphological Fusion ...
BASE
Show details
6
Analyzing the Surprising Variability in Word Embedding Stability Across Languages ...
BASE
Show details
7
Neural Machine Translation with Heterogeneous Topic Knowledge Embeddings ...
BASE
Show details
8
STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.683/ Abstract: Sentence order prediction is the task of finding the correct order of sentences in a randomly ordered document. Correctly ordering the sentences requires an understanding of coherence with respect to the chronological sequence of events described in the text. Document-level contextual understanding and commonsense knowledge centered around these events are often essential in uncovering this coherence and predicting the exact chronological order. In this paper, we introduce STaCK—a framework based on graph neural networks and temporal commonsense knowledge to model global information and predict the relative order of sentences. Our graph network accumulates temporal evidence using knowledge of past and future and formulates sentence ordering as a constrained edge classification problem. We report results on five different datasets, and empirically show that the proposed method is naturally suitable for order prediction. The ...
Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/37588-stack-sentence-ordering-with-temporal-commonsense-knowledge
https://dx.doi.org/10.48448/z4ap-sf78
BASE
Hide details
9
Wikily Supervised Neural Translation Tailored to Cross-Lingual Tasks ...
BASE
Show details
10
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation ...
BASE
Show details
11
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach ...
BASE
Show details
12
Sequence Length is a Domain: Length-based Overfitting in Transformer Models ...
BASE
Show details
13
Speechformer: Reducing Information Loss in Direct Speech Translation ...
BASE
Show details
14
Data and Parameter Scaling Laws for Neural Machine Translation ...
BASE
Show details
15
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders ...
BASE
Show details
16
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy ...
BASE
Show details
17
Learning to Rewrite for Non-Autoregressive Neural Machine Translation ...
BASE
Show details
18
Towards Making the Most of Dialogue Characteristics for Neural Chat Translation ...
BASE
Show details
19
Improving the Quality Trade-Off for Neural Machine Translation Multi-Domain Adaptation ...
BASE
Show details
20
Sometimes We Want Ungrammatical Translations ...
BASE
Show details

Page: 1 2 3 4 5 6

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
110
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern