Search Results for author:
Found 5 papers, 3 papers with code
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
Various NLP tasks require a complex hierarchical structure over nodes, where each node is a cluster of items.
coreference-resolution
Cross Document Coreference Resolution
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization
Key Point Analysis (KPA) has been recently proposed for deriving fine-grained insights from collections of textual comments.
Every Bite Is an Experience: Key Point Analysis of Business Reviews
Previous work on review summarization focused on measuring the sentiment toward the main aspects of the reviewed product or business, or on creating a textual summary.
Quantitative Argument Summarization and Beyond: Cross-Domain Key Point Analysis
Recent work has proposed to summarize arguments by mapping them to a small set of expert-generated key points, where the salience of each key point corresponds to the number of its matching arguments.
From Arguments to Key Points: Towards Automatic Argument Summarization
Generating a concise summary from a large collection of arguments on a given topic is an intriguing yet understudied problem.
