tasksource/lexcomp-nc-attributes

---
license: apache-2.0
language:
- en
---
https://github.com/vered1986/lexcomp/tree/master
```
@article{shwartz-dagan-2019-still,
title = "Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition",
author = "Shwartz, Vered and
Dagan, Ido",
journal = "Transactions of the Association for Computational Linguistics",
volume = "7",
year = "2019",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q19-1027",
doi = "10.1162/tacl_a_00277",
pages = "403--419",
abstract = "Building meaningful phrase representations is challenging because phrase meanings are not simply the sum of their constituent meanings. Lexical composition can shift the meanings of the constituent words and introduce implicit information. We tested a broad range of textual representations for their capacity to address these issues. We found that, as expected, contextualized word representations perform better than static word embeddings, more so on detecting meaning shift than in recovering implicit information, in which their performance is still far from that of humans. Our evaluation suite, consisting of six tasks related to lexical composition effects, can serve future research aiming to improve representations.",
}
```

原始信息汇总

数据集概述

许可证

• 类型: Apache-2.0

语言

• 包含语言: 英语 (en)

数据集来源

• 存储库链接: https://github.com/vered1986/lexcomp/tree/master

相关研究

• 论文标题: Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition
• 作者: Shwartz, Vered 和 Dagan, Ido
• 发表年份: 2019
• 期刊: Transactions of the Association for Computational Linguistics
• 卷: 7
• 页码: 403--419
• 摘要: 该研究测试了多种文本表示方法在处理词汇组合问题上的能力，发现上下文化词表示相比静态词嵌入在检测意义转变上表现更好，但在恢复隐含信息方面仍远不及人类表现。研究中使用的评估套件包含六个与词汇组合效应相关的任务，旨在为未来改进表示方法的研究提供参考。