3 |
Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Analysis of Language Change in Collaborative Instruction Following ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
SD-QA: Spoken Dialectal Question Answering for the Real World ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Live Session - 4E: Phonology, Morphology and Word Segmentation ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Rule-based Morphological Inflection Improves Neural Terminology Translation ...
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
|
|
|
|
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.5/ Abstract: Schema translation is the task of automatically translating headers of tabular data from one language to another. High-quality schema translation plays an important role in cross-lingual table searching, understanding and analysis. Despite its importance, schema translation is not well studied in the community, and state-of-the-art neural machine translation models cannot work well on this task because of two intrinsic differences between plain text and tabular data: morphological difference and context difference. To facilitate the research study, we construct the first parallel dataset for schema translation, which consists of 3,158 tables with 11,979 headers written in 6 different languages, including English, Chinese, French, German, Spanish, and Japanese. Also, we propose the first schema translation model called CAST, which is a header-to-header neural machine translation model augmented with schema context. Specifically, we ...
|
|
Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
|
|
URL: https://underline.io/lecture/37570-translating-headers-of-tabular-data-a-pilot-study-of-schema-translation https://dx.doi.org/10.48448/e3w6-dn36
|
|
BASE
|
|
Hide details
|
|
|
|