Below is an abstract from a computer science research paper. Given this abstract, your task is to extract all unique relationships between entities of the following types:

- "USED-FOR": For instance, "Our method models user proficiency" -> ["method", "user proficiency", "USED-FOR"].
- "EVALUATE-FOR": For instance, "We evaluate our method using F1-measure" -> ["F1-measure", "method", "EVALUATE-FOR"].
- "FEATURE-OF": For instance, "prior knowledge of the model" -> ["prior knowledge", "model", "FEATURE-OF"].
- "HYPONYM-OF": For instance, "TUIT is a software library" -> ["TUIT", "software library", "HYPONYM-OF"].
- "PART-OF": For instance, "We incorporate NLU module into the system." -> ["NLU module", "system", "PART-OF"].
- "COMPARE": For instance, "Unlike the quantitative prior, the qualitative prior is often ignored" -> ["quantitative prior", "qualitative prior", "COMPARE"].
- "CONJUNCTION": For instance: "obtained from human expert or knowledge base" -> ["human expert", "knowledge base", "CONJUNCTION"].

Format your output as a json array. Each entry in the array should express a single relation, formatted as ["<Entity_A>", "<Entity_B>", "<RELATION_A_B>"]. An example output might look like:

[["neural networks", "classification", "USED-FOR"], ["neuron", "neural network", "PART-OF"]].

If no relations are found, please return an empty array [].

Abstract:

Both rhetorical structure and punctuation have been helpful in discourse processing. Based on a corpus annotation project, this paper reports the discursive usage of 6 Chinese punctuation marks in news commentary texts: Colon, Dash, Ellipsis, Exclamation Mark, Question Mark, and Semicolon. The rhetorical patterns of these marks are compared against patterns around cue phrases in general. Results show that these Chinese punctuation marks, though fewer in number than cue phrases, are easy to identify, have strong correlation with certain relations, and can be used as distinctive indicators of nuclearity in Chinese texts.
[["Exclamation Mark", "Question Mark", "CONJUNCTION"], ["Chinese punctuation marks", "cue phrases", "COMPARE"], ["Chinese texts", "indicators of nuclearity", "FEATURE-OF"], ["Colon", "Dash", "CONJUNCTION"], ["Colon", "Chinese punctuation marks", "HYPONYM-OF"], ["Chinese punctuation marks", "news commentary texts", "PART-OF"], ["Ellipsis", "Exclamation Mark", "CONJUNCTION"], ["rhetorical patterns", "patterns around cue phrases", "COMPARE"], ["Chinese punctuation marks", "indicators of nuclearity", "USED-FOR"], ["Ellipsis", "Chinese punctuation marks", "HYPONYM-OF"], ["Question Mark", "Chinese punctuation marks", "HYPONYM-OF"], ["rhetorical structure", "punctuation", "CONJUNCTION"], ["Dash", "Ellipsis", "CONJUNCTION"], ["Dash", "Chinese punctuation marks", "HYPONYM-OF"], ["Question Mark", "Semicolon", "CONJUNCTION"], ["rhetorical patterns", "Chinese punctuation marks", "FEATURE-OF"], ["Exclamation Mark", "Chinese punctuation marks", "HYPONYM-OF"], ["Semicolon", "Chinese punctuation marks", "HYPONYM-OF"], ["rhetorical structure", "discourse processing", "USED-FOR"], ["punctuation", "discourse processing", "USED-FOR"]]