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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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因为 task-specific data 有限，难蒸馏出好 student model，所以用 mixup 增强数据，teacher 对插值的输入预测，student 学习该预测结果(loss_3，带调节系数超参)，直接学插值输入对应的插值标签(loss_2，带调节系数超参)，学习原始数据(loss_1，无系数)。提供了一些理论证明，在GLUE上做了实验有效。
![image](https…
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This is a list of reading that we think may be relevant to read/cite when we write up the Data Hazards project into a paper. If you think there's anything else we should be reading, please let us know…
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I pushed the following text to the new repo:
This book introduces Bayesian data analysis and Bayesian cognitive modeling to
students and researchers in cognitive science (e.g., linguistics,
psych…
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See https://github.com/UniversalDependencies/UD_English-EWT/issues/83
UD treebank preserved in a single token the word `basically` regardless of the encoding error. But the Propbank data broke i…
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## 0. Paper
@article{arora-etal-2020-learning,
title = "Learning Lexical Subspaces in a Distributional Vector Space",
author = "Arora, Kushal and
Chakraborty, Aishik and
Che…
a1da4 updated
3 years ago
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## 0. Paper
@inproceedings{zhao-etal-2019-moverscore,
title = "{M}over{S}core: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance",
author = "Zhao, Wei and
…
a1da4 updated
4 years ago
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So, when a word has multiple meanings, it's hard to cram all the info you have for the different meanings into one translation field, and it's hard to read the multiple meanings when you're hovering o…
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## Problem statement
1. 적은 양의 (question, passage) pair로 retrieval 성능을 낼 수 있는 training scheme을 찾는다.
2. question과 passage의 내적으로 유사도를 비교할 수 있는 low-dimensional & continuous space에 임베딩한다.
## Baselin…
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Post questions here for one or more of our fundamentals readings:
Manning and Schütze. 1999. Foundations of Statistical Natural Language Processing. MIT Press:
Chapter 3 (“Linguistic foundations”)…