1 citations · 1 across the 4 of their papers we have counts for
5 papers
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
Yusen Zhang, Ansong Ni, Tao Yu +6
Dialogue summarization helps readers capture salient information from long conversations in meetings, interviews, and TV series. However, real-world dialogues pose a great challeng…
SummerTime: Text Summarization Toolkit for Non-experts
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma +5
Recent advances in summarization provide models that can generate summaries of higher quality. Such models now exist for a number of summarization tasks, including query-based summ…
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization
Ansong Ni, Matt Gardner, Pradeep Dasigi
Question Answering (QA) tasks requiring information from multiple documents often rely on a retrieval model to identify relevant information for reasoning. The retrieval model is t…
SOAR: A Synthesis Approach for Data Science API Refactoring
Ansong Ni, Daniel Ramos, Aidan Yang +4
With the growth of the open-source data science community, both the number of data science libraries and the number of versions for the same library are increasing rapidly. To matc…
Merging Weak and Active Supervision for Semantic Parsing
Ansong Ni, Pengcheng Yin, Graham Neubig
A semantic parser maps natural language commands (NLs) from the users to executable meaning representations (MRs), which are later executed in certain environment to obtain user-de…