搬运一个微博上的消息,来自目前在华为诺亚方舟实验室任语音语义首席科学家的刘群老师:
@刘群MT-to-Death
刚知道这个网站:https://nlpprogress.com/ ,跟踪NLP各项技术的state-of-the-art进展,对搞NLP的人很有用。不知道更新是否及时。又是Sebastian Ruder做的,这小子脑子真活。
This document aims to track the progress in Natural Language Processing (NLP) and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets.
It aims to cover both traditional and core NLP tasks such as dependency parsing and part-of-speech tagging as well as more recent ones such as reading comprehension and natural language inference. The main objective is to provide the reader with a quick overview of benchmark datasets and the state-of-the-art for their task of interest, which serves as a stepping stone for further research. To this end, if there is a place where results for a task are already published and regularly maintained, such as a public leaderboard, the reader will be pointed there.
If you want to find this document again in the future, just go to nlpprogress.com
or nlpsota.com
in your browser.
网站还在建设中,包含的NLP方向还是挺全的,感兴趣的同学可以关注或者点击“阅读原文”直达:
Automatic speech recognition
CCG supertagging
Chunking
Common sense
Constituency parsing
Coreference resolution
Dependency parsing
Dialogue
Domain adaptation
Entity linking
Grammatical error correction
Information extraction
Language modeling
Lexical normalization
Machine translation
Multi-task learning
Multi-modal
Named entity recognition
Natural language inference
Part-of-speech tagging
Question answering
Relation prediction
Relationship extraction
Semantic textual similarity
Semantic parsing
Semantic role labeling
Sentiment analysis
Stance detection
Summarization
Taxonomy learning
Temporal processing
Text classification
Word sense disambiguation
Entity linking
Chunking
Part-of-speech tagging
Machine Translation
Dependency parsing
Machine translation
Named entity recognition
Part-of-speech tagging
Word segmentation
另外,前些天,我们推了一个抽奖活动:改个名,抽个奖 ,双11凌晨已抽奖完毕,但是截至目前中奖的5位同学中还有2位同学没有填写地址信息,我们在公众号里是无法和这两位同学搭讪的(公众号如果48小时没有互动,无法直接聊天),所以请昵称为 “新”, “吃耳机” 的两位同学尽快在抽奖助手填写相关收件信息,我们会在16号之前通过京东下单邮寄获奖书籍:《基于深度学习的自然语言处理》,想了解抽奖结果的同学可以长按二维码查看,感谢大家的支持: