Search Results for author:
Found 25 papers, 4 papers with code
Overview of the First Workshop on Scholarly Document Processing (SDP)
To reach to the broader NLP and AI/ML community, pool distributed efforts and enable shared access to published research, we held the 1st Workshop on Scholarly Document Processing at EMNLP 2020 as a virtual event.
Overview 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.
Overview of the Second Workshop on Scholarly Document Processing
With the ever-increasing pace of research and high volume of scholarly communication, scholars face a daunting task.
VADIS -- a VAriable Detection, Interlinking and Summarization system
The VADIS system addresses the demand of providing enhanced information access in the domain of the social sciences.
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text
This demo paper presents UnScientify, an interactive system designed to detect scientific uncertainty in scholarly full text.
Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements
The Flair Embeddings model trained on the medium corpus with the latest FLAIR version showed the best accuracy of 0. 79.
Retrievability in an Integrated Retrieval System: An Extended Study
In this paper, we investigate the retrievability in an integrated search system consisting of items from various categories, particularly focussing on datasets, publications \ijdl{and variables} in a real-life Digital Library (DL).
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains
Six types of acknowledged entities, i. e., funding agency, grant number, individuals, university, corporation and miscellaneous, were extracted from the acknowledgement texts using a Named Entity Recognition (NER) tagger and subsequently examined.
Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022.
Ranked #1 on
Variable Disambiguation
on SV-Ident
Towards Automated Survey Variable Search and Summarization in Social Science Publications
Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying datasets, so as to support research with infrastructure to enhance reproducibility and reusability of research results.
Which Factors are associated with Open Access Publishing? A Springer Nature Case Study
Employing correlation and regression analyses, we describe the relationship between authors affiliated with countries from different income levels, their choice of publishing model, and the citation impact of their papers.
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents
We trained and implemented a named entity recognition (NER) task using the Flair NLP-framework.
Studying Retrievability of Publications and Datasets in an Integrated Retrieval System
In this paper, we investigate the retrievability of datasets and publications in a real-life Digital Library (DL).
BiblioDAP: The 1st Workshop on Bibliographic Data Analysis and Processing
Automatic processing of bibliographic data becomes very important in digital libraries, data science and machine learning due to its importance in keeping pace with the significant increase of published papers every year from one side and to the inherent challenges from the other side.
ConSTR: A Contextual Search Term Recommender
For the demonstration, ConSTR is built on the arXiv, an academic repository consisting of 1. 8 million documents.
Characteristics of Dataset Retrieval Sessions: Experiences from a Real-life Digital Library
Amongst others, we report our findings of dataset retrieval sessions with respect to query characteristics, interaction sequences and topical drift within 65, 000 unique sessions.
The OpenCitations Data Model
A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations.
Digital Libraries
ECIR 2020 Workshops: Assessing the Impact of Going Online
In this report, we describe the experience of organizing the ECIR 2020 Workshops in this scenario from two perspectives: the workshop organizers and the workshop participants.
Bibliometric-enhanced Information Retrieval 10th Anniversary Workshop Edition
The Bibliometric-enhanced Information Retrieval workshop series (BIR) was launched at ECIR in 2014 \cite{MayrEtAl2014} and it was held at ECIR each year since then.
Report on the 8th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2019)
The Bibliometric-enhanced Information Retrieval workshop series (BIR) at ECIR tackled issues related to academic search, at the crossroads between Information Retrieval and Bibliometrics.
EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching
Citation matching is a challenging task due to different problems such as the variety of citation styles, mistakes in reference strings and the quality of identified reference segments.
Highly cited references in PLOS ONE and their in-text usage over time
We have found that these references are distinguishable by the IMRaD sections of their citation.
Digital Libraries
Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics
The workshop "Mining Scientific Papers: Computational Linguistics and Bibliometrics" (CLBib 2015), co-located with the 15th International Society of Scientometrics and Informetrics Conference (ISSI 2015), brought together researchers in Bibliometrics and Computational Linguistics in order to study the ways Bibliometrics can benefit from large-scale text analytics and sense mining of scientific papers, thus exploring the interdisciplinarity of Bibliometrics and Natural Language Processing (NLP).
Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools
The Open Access movement in scientific publishing and search engines like Google Scholar have made scientific articles more broadly accessible.
