Multi-document summarization via deep learning techniques: A survey
Multi-document summarization (MDS) is an effective tool for information aggregation that
generates an informative and concise summary from a cluster of topic-related documents …
generates an informative and concise summary from a cluster of topic-related documents …
Exploring the limits of chatgpt for query or aspect-based text summarization
Text summarization has been a crucial problem in natural language processing (NLP) for
several decades. It aims to condense lengthy documents into shorter versions while …
several decades. It aims to condense lengthy documents into shorter versions while …
QMSum: A new benchmark for query-based multi-domain meeting summarization
Meetings are a key component of human collaboration. As increasing numbers of meetings
are recorded and transcribed, meeting summaries have become essential to remind those …
are recorded and transcribed, meeting summaries have become essential to remind those …
Pre-training methods in information retrieval
The core of information retrieval (IR) is to identify relevant information from large-scale
resources and return it as a ranked list to respond to user's information need. In recent years …
resources and return it as a ranked list to respond to user's information need. In recent years …
Chatgpt's one-year anniversary: are open-source large language models catching up?
Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …
AI, both in research and commerce. Through instruction-tuning a large language model …
Conditional generation with a question-answering blueprint
The ability to convey relevant and faithful information is critical for many tasks in conditional
generation and yet remains elusive for neural seq-to-seq models whose outputs often reveal …
generation and yet remains elusive for neural seq-to-seq models whose outputs often reveal …
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 …
[كتاب][B] Neural approaches to conversational information retrieval
J Gao, C **ong, P Bennett, N Craswell - 2023 - Springer
A conversational information retrieval (CIR) system is an information retrieval (IR) system
with a conversational interface, which allows users to interact with the system to seek …
with a conversational interface, which allows users to interact with the system to seek …
WikiHowQA: A comprehensive benchmark for multi-document non-factoid question answering
Answering non-factoid questions (NFQA) is a challenging task, requiring passage-level
answers that are difficult to construct and evaluate. Search engines may provide a summary …
answers that are difficult to construct and evaluate. Search engines may provide a summary …
Is it really long context if all you need is retrieval? towards genuinely difficult long context nlp
Improvements in language models' capabilities have pushed their applications towards
longer contexts, making long-context evaluation and development an active research area …
longer contexts, making long-context evaluation and development an active research area …