Filters








25,060 Hits in 2.6 sec

A Model for Fine-Grained Data Citation

Susan B. Davidson, Daniel Deutch, Tova Milo, Gianmaria Silvello
2017 Sistemi Evoluti per Basi di Dati  
Unlike traditional research products which have a fixed granularity, data citation is a challenge because the granularity varies.  ...  We present the novel problem of automatically generating citations for general queries over a relational database, and explore a solution based on citation views, each of which attaches a citation to a  ...  Acknowledgments The authors would like to thank Peter Buneman and Val Tannen for many fruitful discussions. Peter Buneman initially formulated several of these ideas in the context of XML.  ... 
dblp:conf/sebd/DavidsonDMS17 fatcat:gyqlxsxpwzajpjnwsm2ky32hka

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity [article]

Sheshera Mysore, Arman Cohan, Tom Hope
2022 arXiv   pre-print
We present a new scientific document similarity model based on matching fine-grained aspects of texts.  ...  Code, data, and models available at: https://github.com/allenai/aspire  ...  Conclusions We presented ASPIRE, a scientific document similarity model that is trained by leveraging co-citation contexts for learning fine-grained similarity.  ... 
arXiv:2111.08366v3 fatcat:zltoorxljvbk5e2h3epvpv3kou

Towards Fine-grained Citation Function Classification

Xiang Li, Yifan He, Adam Meyers, Ralph Grishman
2013 Recent Advances in Natural Language Processing  
We introduce an annotation scheme to annotate citation functions in scientific papers with coarse-to-fine-grained categories, where the coarse-grained annotation roughly corresponds to citation sentiment  ...  We look into the problem of recognizing citation functions in scientific literature, trying to reveal authors' rationale for citing a particular article.  ...  Approved for Public Release; Distribution Unlimited.  ... 
dblp:conf/ranlp/LiHMG13 fatcat:7ng4nma64nebpmg4fpfcdbrelu

A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature

He Zhao, Zhunchen Luo, Chong Feng, Anqing Zheng, Xiaopeng Liu
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
We introduce a new task of modeling the role and function for on-line resource citations in scientific literature.  ...  For this novel task, we are the first to create an annotation scheme, which models the different granularity of information from a hierarchical perspective.  ...  We develop a multi-task learning model which can jointly identify the general role types, fine-grained role types and functions for the resource citations.  ... 
doi:10.18653/v1/d19-1524 dblp:conf/emnlp/ZhaoLFZL19 fatcat:fkajcucl3fewhed5u6dklezuuy

Middle to late Quaternary grain size variations and sea-ice rafting on the Lomonosov Ridge

Matt O'Regan, Emma Sellén, Martin Jakobsson
2014 Polar Research  
This is consistent with observations of grain size spectra obtained from modern sea-ice samples, and indicates a strong overprint from sea ice on the silt distribution.  ...  Sea ice and icebergs are the dominant transport agents for sand-sized material to the central Arctic Ocean.  ...  This is a contribution from the Bert Bolin Centre of Climate Research at Stockholm University.  ... 
doi:10.3402/polar.v33.23672 fatcat:pkvpkz7xeffjvgl7ohheaddwla

Fine-Grained Named Entity Recognition in Legal Documents [chapter]

Elena Leitner, Georg Rehm, Julian Moreno-Schneider
2019 Lecture Notes in Computer Science  
The CRF models reach a maximum of 93.23 for the fine-grained classes and 93.22 for the coarse-grained ones.  ...  The BiLSTM models achieve the best performance with an 95.46 F1 score for the fine-grained classes and 95.95 for the coarse-grained ones.  ...  This work was carried out under the umbrella of an internship of the first author at DFKI, which resulted in a Bachelor thesis at the University of Potsdam [24] .  ... 
doi:10.1007/978-3-030-33220-4_20 fatcat:kf4m2js6cnbcpjxvekkqgdggje

Enhancing PID services towards a more fine-grained granularity level as a base for a FAIR data infrastructure

Janete Saldanha Bach, Claus-Peter Klas, Peter Mutschke
2022 Zenodo  
Assigning a PID to a whole dataset, as common practice within research data management, is not enough to unambiguously identify the piece of information used and ensure the data citation properly and,  ...  The variable level in the Social Sciences research data is a unit of quantitative data, commonly obtained through survey questionnaires or experiments and represented in a tabular datasets format.  ...  Enhancing PID services towards a more fine-grained granularity level as a base for a FAIR data infrastructure PID suggestion; landing page; original survey DOI, and metadata schema.  ... 
doi:10.5281/zenodo.6760992 fatcat:kan5xkdfdzd63pphgylgdi7xe4

The Importance of Fine-Grained Cue Phrases in Scientific Citations [chapter]

Robert E. Mercer, Chrysanne Di Marco
2003 Lecture Notes in Computer Science  
In this present work, we extend this idea to propose that fine-grained cue phrases within citation sentences may provide just such a stylistic basis for categorization.  ...  In previous work, Garzone and Mercer (2000) presented a system for citation classification that relied on characteristic syntactic structure to determine citation category.  ...  (p. 84) At this point, Teufel diverges from us in her development of a method for analyzing the structure of articles based on a detailed discourse model and fine-grained linguistic cues.  ... 
doi:10.1007/3-540-44886-1_49 fatcat:hlghg26zbncefkyyxsxj7zcxsi

Predicting Research Trends From Arxiv [article]

Steffen Eger, Chao Li, Florian Netzer, Iryna Gurevych
2019 arXiv   pre-print
Our approach is bottom-up: we first rank papers by their normalized citation counts, then group top-ranked papers into different categories based on the tasks that they pursue and the methods they use.  ...  This is because papers in cs.CL often deal with a fine-grained natural language processing (NLP) problem whereas wording in cs.  ...  As a secondary signal next to the z-score ranks, we want to predict citation counts from a model that incorporates the text and the meta-data (such as authors and publication venue) of a paper.  ... 
arXiv:1903.02831v1 fatcat:t3bctqymbvdsjc5giepk6dhzl4

Predicting Research Trends From Arxiv

Steffen Eger, Li Chao, Florian Netzer, Iryna Gurevych
2019 Zenodo  
Our approach is bottom-up: we first rank papers by their normalized citation counts, then group top-ranked papers into different categories based on the tasks that they pursue and the methods they use.  ...  This is because papers in cs.CL often deal with a fine-grained natural language processing (NLP) problem whereas wording in cs.  ...  As a secondary signal next to the z-score ranks, we want to predict citation counts from a model that incorporates the text and the meta-data (such as authors and publication venue) of a paper.  ... 
doi:10.5281/zenodo.2586661 fatcat:ti2gmvmqnzeidm7kukknd2fldy

A systematic literature review of traceability approaches between software architecture and source code

Muhammad Atif Javed, Uwe Zdun
2014 Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering - EASE '14  
Moreover, the classification scheme developed in this paper can serve as a guide for researchers and practitioners to find a specific approach or set of approaches that is of interest to them.  ...  The search strategy identified 742 citations, out of which 11 have been included in our study, dated from 1999 to July, 2013, after applying our inclusion and exclusion criteria.  ...  Coarse Grained 46% Fine Grained 27% Coarse Grained & Fine Grained 27% Figure 1: Distribution of the Studies by Levels of the Granularity In the group with coarse-grained granularity, traceability relations  ... 
doi:10.1145/2601248.2601278 dblp:conf/ease/JavedZ14 fatcat:34hrmsnwmvgudaefzcfyrowe6y

Inferring travel from social media

Alessio Signorini, Philip Polgreen, Alberto Segre
2011 Emerging Health Threats Jour  
Objective To use sequential, geocoded social media data as a proxy for human movement to support both disease surveillance and modeling.  ...  Here, we propose the use of geocoded social media data as a real-time fine-grained proxy for human travel.  ...  not for citation purpose)  ... 
doi:10.3402/ehtj.v4i0.11126 fatcat:jpfrkf4va5b7hp6yb4qcgjoamy

Local controls on sediment accumulation and distribution in a fjord in the West Antarctic Peninsula: implications for palaeoenvironmental interpretations

Yuribia P. Munoz, Julia S. Wellner
2016 Polar Research  
In contrast to a traditional conceptual model of glacial sediment distribution in fjords, grain size in Flandres Bay generally coarsens from the inner to outer bay.  ...  The smallest grain size sediments were found in the bay head and are interpreted as fine-grained deposits resulting from meltwater plumes and sediment gravity flows occurring close to the glacier front  ...  YM is supported by a National Science Foundation Graduate Research Fellowship.  ... 
doi:10.3402/polar.v35.25284 fatcat:jyj7f3xq2vfhbm4rbvpmbgcsfe

T2K and T2K-upgrade

A. K. Ichikawa
2020 Zenodo  
model nuclear model hadron final state interaction / / monitor ND280 detector model hadron interaction model Oscillation Parameter ν A data e A data , A data p-A data SK detector  ...  / / monitor ND280 detector model hadron interaction model Oscillation Parameter ν A data e A data , A data p-A data 2% 9% 15% 8% 4% reduce to 5% by using replica target data  ... 
doi:10.5281/zenodo.4007188 fatcat:ucnfuxl4bjguheadr5dnkeesxq

ImpactCite: An XLNet-based method for Citation Impact Analysis [article]

Dominique Mercier, Syed Tahseen Raza Rizvi, Vikas Rajashekar, Andreas Dengel, Sheraz Ahmed
2020 arXiv   pre-print
Therefore, we emphasize ImpactCite (XLNet-based solution) for both tasks to better understand the impact of a citation.  ...  Second, we provide ImpactCite, which is XLNet-based method for citation impact analysis. All evaluations are performed on a set of publicly available citation analysis datasets.  ...  The BERT model was trained on a large volume of unlabeled data.  ... 
arXiv:2005.06611v1 fatcat:e2zwehpwlzcwvn6udwx3oe3snu
« Previous Showing results 1 — 15 out of 25,060 results