- Co-Reference Resolution: 共指消解
- Sentiment Analysis: 语义分析
- Named Entity Recognition (aka NER): 命名实体
- Machine Comprehension (aka MC): 机器理解
- Textual Entailment (aka TE): 文本蕴涵
- Semantic Role Labeling (aka SRL): 语义角色标注
- References
1 Co-Reference Resolution: 共指消解
finding all expressions that refer to the same entity in a text.
2 Sentiment Analysis: 语义分析
detect the sentiment of a given text(positive and negative sentiment).
3 Named Entity Recognition (aka NER): 命名实体
extract entities such as people, locations, organizations, and miscellaneous from text.
4 Machine Comprehension (aka MC): 机器理解
answers natural language questions by selecting an answer span within an evidence text.
5 Textual Entailment (aka TE): 文本蕴涵
takes a pair of sentences and predicts whether the facts in the first necessarily imply the facts in the second one.
判断兩个句子能否互相推论
