1 |
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Similarity between person roles in a card sorting experiment ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code Representations ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Ensemble of Opinion Dynamics Models to Understand the Role of the Undecided in the Vaccination Debate ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
A comparative study of several parameterizations for speaker recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
A Neural Pairwise Ranking Model for Readability Assessment ...
|
|
|
|
Abstract:
Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is traditionally treated as a classification problem in NLP research. In this paper, we propose the first neural, pairwise ranking approach to ARA and compare it with existing classification, regression, and (non-neural) ranking methods. We establish the performance of our model by conducting experiments with three English, one French and one Spanish datasets. We demonstrate that our approach performs well in monolingual single/cross corpus testing scenarios and achieves a zero-shot cross-lingual ranking accuracy of over 80% for both French and Spanish when trained on English data. Additionally, we also release a new parallel bilingual readability dataset in English and French. To our knowledge, this paper proposes the first neural pairwise ranking model for ARA, and shows the first results of cross-lingual, zero-shot evaluation of ARA with neural models. ... : to appear in Findings of ACL 2022 ...
|
|
Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
|
|
URL: https://dx.doi.org/10.48550/arxiv.2203.07450 https://arxiv.org/abs/2203.07450
|
|
BASE
|
|
Hide details
|
|
13 |
A bilingual approach to specialised adjectives through word embeddings in the karstology domain ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Speaker verification in mismatch training and testing conditions ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Universal Conditional Masked Language Pre-training for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
SMDT: Selective Memory-Augmented Neural Document Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Learning How to Translate North Korean through South Korean ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|