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Found 11 papers, 4 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.
Project Debater APIs: Decomposing the AI Grand Challenge
Engaging in a live debate requires a diverse set of skills, and Project Debater has been developed accordingly as a collection of components, each designed to perform a specific subtask.
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.
A Dataset of General-Purpose Rebuttal
In Natural Language Understanding, the task of response generation is usually focused on responses to short texts, such as tweets or a turn in a dialog.
Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining
To this end, we collected a large dataset of $400$ speeches in English discussing $200$ controversial topics, mined claims for each topic, and asked annotators to identify the mined claims mentioned in each speech.
Learning to combine Grammatical Error Corrections
We also present a spellchecker created for this task which outperforms standard spellcheckers tested on the task of spellchecking.
Ranked #10 on
Grammatical Error Correction
on BEA-2019 (test)
Listening Comprehension over Argumentative Content
We applied baseline methods addressing the task, to be used as a benchmark for future work over this dataset.
Automatic Speech Recognition (ASR)
Machine Reading Comprehension
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