66 citations · 214 across the 18 of their papers we have counts for
20 papers
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future
Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych
Annotated data is an essential ingredient in natural language processing for training and evaluating machine learning models. It is therefore very desirable for the annotations to…
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
Zheng Zhao, Bonnie Webber
In the PDTB-3, several thousand implicit discourse relations were newly annotated \textit{within} individual sentences, adding to the over 15,000 implicit relations annotated \text…
Refocusing on Relevance: Personalization in NLG
Shiran Dudy, Steven Bedrick, Bonnie Webber
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response. This standard ap…
Querent Intent in Multi-Sentence Questions
Laurie Burchell, Jie Chi, Tom Hosking +2
Multi-sentence questions (MSQs) are sequences of questions connected by relations which, unlike sequences of standalone questions, need to be answered as a unit. Following Rhetoric…
Extending Implicit Discourse Relation Recognition to the PDTB-3
Li Liang, Zheng Zhao, Bonnie Webber
The PDTB-3 contains many more Implicit discourse relations than the previous PDTB-2. This is in part because implicit relations have now been annotated within sentences as well as…
Reducing Quantity Hallucinations in Abstractive Summarization
Zheng Zhao, Shay B. Cohen, Bonnie Webber
It is well-known that abstractive summaries are subject to hallucination---including material that is not supported by the original text. While summaries can be made hallucination-…