Papers Scientific Document Summarization
“Scientific Document Summarization” 태그가 달린 논문 23편 · 필터 해제
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust
As language models improve and become increasingly deployed to solve a variety of tasks, trustworthiness becomes essential. Calibration is a good proxy for trust: well-calibrated confidence estimates help inform the risk…
Scientific Document SummarizationQuestion AnsweringCCSBench: Evaluating Compositional Controllability in LLMs for Scientific Document Summarization
To broaden the dissemination of scientific knowledge to diverse audiences, scientific document summarization must simultaneously control multiple attributes such as length and empirical focus. However, existing research …
Document SummarizationScientific Document SummarizationHierarchical Attention Graph for Scientific Document Summarization in Global and Local Level
Scientific document summarization has been a challenging task due to the long structure of the input text. The long input hinders the simultaneous effective modeling of both global high-order relations between sentences …
Document SummarizationExtractive SummarizationScientific Document SummarizationSentenceContrastive Hierarchical Discourse Graph for Scientific Document Summarization
The extended structural context has made scientific paper summarization a challenging task. This paper proposes CHANGES, a contrastive hierarchical graph neural network for extractive scientific paper summarization. CHAN…
Contrastive LearningDocument SummarizationGraph Neural NetworkScientific Document Summarization+1Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Lay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts. Automatic approaches for lay summarisation can provide significant value in broadening ac…
ArticlesLay SummarizationScientific Document SummarizationOverview of the Third Workshop on Scholarly Document Processing
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task. Not only must they keep up with the growing literature in their own and related fields, scholars increa…
Document SummarizationGraph GenerationInformation RetrievalMulti-Document Summarization+2Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)
We present the main findings of MuP 2022 shared task, the first shared task on multi-perspective scientific document summarization. The task provides a testbed representing challenges for summarization of scientific docu…
Document SummarizationScientific Document SummarizationMulti Perspective Scientific Document Summarization With Graph Attention Networks (GATS)
It is well recognized that creating summaries of scientific texts can be difficult. For each given document, the majority of summarizing research believes there is only one best gold summary. Having just one gold summary…
Document SummarizationExtractive Text SummarizationGraph AttentionScientific Document Summarization+2GUIR @ MuP 2022: Towards Generating Topic-aware Multi-perspective Summaries for Scientific Documents
This paper presents our approach for the MuP 2022 shared task —-Multi-Perspective Scientific Document Summarization, where the objective is to enable summarization models to explore methods for generating multi-perspecti…
Document SummarizationScientific Document SummarizationLTRC @MuP 2022: Multi-Perspective Scientific Document Summarization Using Pre-trained Generation Models
The MuP-2022 shared task focuses on multiperspective scientific document summarization. Given a scientific document, with multiple reference summaries, our goal was to develop a model that can produce a generic summary c…
Document SummarizationScientific Document SummarizationTeam AINLPML @ MuP in SDP 2021: Scientific Document Summarization by End-to-End Extractive and Abstractive Approach
This paper introduces the proposed summarization system of the AINLPML team for the First Shared Task on Multi-Perspective Scientific Document Summarization at SDP 2022. We present a method to produce abstractive summari…
Document SummarizationExtractive SummarizationLanguage ModelingLanguage Modelling+2Zero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training
We study the zero-shot setting for the aspect-based scientific document summarization task. Summarizing scientific documents with respect to an aspect can remarkably improve document assistance systems and readers experi…
Document SummarizationScientific Document SummarizationZero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training
We study the zero-shot setting for the aspect-based scientific document summarization task. Summarizing scientific documents with respect to an aspect can remarkably improve document assistance systems and readers experi…
Document SummarizationScientific Document SummarizationLeveraging Information Bottleneck for Scientific Document Summarization
This paper presents an unsupervised extractive approach to summarize scientific long documents based on the Information Bottleneck principle. Inspired by previous work which uses the Information Bottleneck principle for …
Document SummarizationLanguage ModelingLanguage ModellingScientific Document Summarization+2CIST@CL-SciSumm 2020, LongSumm 2020: Automatic Scientific Document Summarization
Our system participates in two shared tasks, CL-SciSumm 2020 and LongSumm 2020. In the CL-SciSumm shared task, based on our previous work, we apply more machine learning methods on position features and content features …
Abstractive Text SummarizationDocument SummarizationExtractive SummarizationPosition+1IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020
The publication rate of scientific literature increases rapidly, which poses a challenge for researchers to keep themselves updated with new state-of-the-art. Scientific document summarization solves this problem by summ…
ArticlesDecoderDocument SummarizationNatural Language Inference+2Dimsum @LaySumm 20: BART-based Approach for Scientific Document Summarization
Lay summarization aims to generate lay summaries of scientific papers automatically. It is an essential task that can increase the relevance of science for all of society. In this paper, we build a lay summary generation…
Document SummarizationLay SummarizationScientific Document SummarizationSentenceA Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery
Related work sections or literature reviews are an essential part of every scientific article being crucial for paper reviewing and assessment. The automatic generation of related work sections can be considered an insta…
Document SummarizationMulti-Document SummarizationScientific Document SummarizationScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article's impacts on research community. This paper provides novel solutions to thes…
Scientific Document SummarizationText SummarizationThe CL-SciSumm Shared Task 2018: Results and Key Insights
This overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational linguistics (CL) domain. This year, the data…
Document SummarizationInformation RetrievalRetrievalScientific Document Summarization