1 |
A Quantitative and Qualitative Analysis of Schizophrenia Language ...
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Towards Responsible Natural Language Annotation for the Varieties of Arabic ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Detecting Hallucinated Content in Conditional Neural Sequence Generation ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Discrete Cosine Transform as Universal Sentence Encoder ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Discrete Cosine Transform as Universal Sentence Encoder ...
|
|
|
|
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-short.53 Abstract: Modern sentence encoders are used to generate dense vector representations that capture the underlying linguistic characteristics for a sequence of words, including phrases, sentences, or paragraphs. These kinds of representations are ideal for training a classifier for an end task such as sentiment analysis, question answering and text classification. Different models have been proposed to efficiently generate general purpose sentence representations to be used in pretraining protocols. While averaging is the most commonly used efficient sentence encoder, Discrete Cosine Transform (DCT) was recently proposed as an alternative that captures the underlying syntactic characteristics of a given text without compromising practical efficiency compared to averaging. However, as with most other sentence encoders, the DCT sentence encoder was only evaluated in English. To this end, we utilize DCT encoder to generate universal sentence ...
|
|
URL: https://underline.io/lecture/25526-discrete-cosine-transform-as-universal-sentence-encoder https://dx.doi.org/10.48448/zyfm-dx53
|
|
BASE
|
|
Hide details
|
|
12 |
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Mutlitask Learning for Cross-Lingual Transfer of Semantic Dependencies ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Overview for the Second Shared Task on Language Identification in Code-Switched Data ...
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|