Domain adaptation with pre-trained transformers for query-focused abstractive text summarization
Abstract The Query-Focused Text Summarization (QFTS) task aims at building systems that
generate the summary of the text document (s) based on the given query. A key challenge in …
generate the summary of the text document (s) based on the given query. A key challenge in …
ConvoSumm: Conversation summarization benchmark and improved abstractive summarization with argument mining
While online conversations can cover a vast amount of information in many different formats,
abstractive text summarization has primarily focused on modeling solely news articles. This …
abstractive text summarization has primarily focused on modeling solely news articles. This …
Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference
Nonfactoid question answering (QA) is one of the most extensive yet challenging
applications and research areas in natural language processing (NLP). Existing methods fall …
applications and research areas in natural language processing (NLP). Existing methods fall …
Toward personalized answer generation in e-commerce via multi-perspective preference modeling
Recently, Product Question Answering (PQA) on E-Commerce platforms has attracted
increasing attention as it can act as an intelligent online shopping assistant and improve the …
increasing attention as it can act as an intelligent online shopping assistant and improve the …
Aquamuse: Automatically generating datasets for query-based multi-document summarization
Summarization is the task of compressing source document (s) into coherent and succinct
passages. This is a valuable tool to present users with concise and accurate sketch of the …
passages. This is a valuable tool to present users with concise and accurate sketch of the …
A topic-aware summarization framework with different modal side information
Automatic summarization plays an important role in the exponential document growth on the
Web. On content websites such as CNN. com and WikiHow. com, there often exist various …
Web. On content websites such as CNN. com and WikiHow. com, there often exist various …
Exploring neural models for query-focused summarization
Query-focused summarization (QFS) aims to produce summaries that answer particular
questions of interest, enabling greater user control and personalization. While recently …
questions of interest, enabling greater user control and personalization. While recently …
CQSumDP: a ChatGPT-annotated resource for query-focused abstractive summarization based on debatepedia
Debatepedia is a publicly available dataset consisting of arguments and counter-arguments
on controversial topics that has been widely used for the single-document query-focused …
on controversial topics that has been widely used for the single-document query-focused …
Contextualized knowledge-aware attentive neural network: Enhancing answer selection with knowledge
Answer selection, which is involved in many natural language processing applications, such
as dialog systems and question answering (QA), is an important yet challenging task in …
as dialog systems and question answering (QA), is an important yet challenging task in …
Generating Illustrated Instructions
We introduce a new task of generating" Illustrated Instructions" ie visual instructions
customized to a user's needs. We identify desiderata unique to this task and formalize it …
customized to a user's needs. We identify desiderata unique to this task and formalize it …