Last Call for Papers:
Joint workshop of the:
- 4th Bibliometric-enhanced Information Retrieval (BIR)
- 2nd Workshop on text and citation analysis for scholarly digital libraries (NLPIR4DL)
Co-located as a post workshop of the ACM/IEEE Joint Conference on Digital Libraries 2017.
*Updated* Special issue of the International Journal on Digital Libraries being finalised for selected accepted submissions to BIRNDL 2016.
Current digital libraries collect and allow access to digital papers and their metadata (including citations), but mostly do not analyse the items they index. The large scale of scholarly publications poses a challenge for scholars in their search for relevant literature. Searchers of digital libraries, citation indices and journal databases are inundated with thousands of results. The community needs to develop techniques to better support both basic as well as higher-order information seeking and scholarly sensemaking activities.
The BIRNDL 2016 workshop is a joint scientific event gathering scholars from the BIR (Bibliometric-enhanced Information Retrieval) and the NLPIR4DL (Text and citation analysis for scholarly digital libraries) communities. The scope of BIRNDL is on scholarly publications and data - the explosion in the production of scientific literature and the growth of scientific enterprise; its consistent exponential growth approaches an empirical law. The workshop will investigate how natural language processing, information retrieval, scientometric and recommendation techniques can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale. Researchers are in need of assistive technologies to track developments in an area, identify the approaches used to solve a research problem over time and summarize research trends. Digital libraries require semantic search, question-answering and automated recommendation and reviewing systems to manage and retrieve answers from scholarly databases. Full document text analysis can help to design semantic search, translation and summarization systems; citation and social network analyses can help digital libraries to visualize scientific trends, bibliometrics and relationships and influences of works and authors. All these approaches can be supplemented with the metadata supplied by digital libraries, inclusive of usage data, such as download counts.
This workshop will be relevant to scholars in the cross-disciplinary field of Computer Science and Digital Libraries, in particular in the research areas of Natural Language Processing and in Information Retrieval; it will also be important for all stakeholders in the publication pipeline: implementers, publishers and policymakers. Even when only considering the scholarly sites within Computer Science, we find that the field is well-represented - ACM Portal, IEEE Xplore, Google Scholar, PSU's CiteSeerX, MSR's Academic Search, Elsevier’s Mendeley, Tsinghua's ArnetMiner, Trier's DBLP, Hiroshima's PRESRI; with this workshop we hope to bring a number of these contributors together. Today's publishers continue to seek new ways to be relevant to their consumers, in disseminating the right published works to their audience. The fact that formal citation metrics have become an increasingly large factor in decision-making by universities and funding bodies worldwide makes the need for research in such topics and for better methods for measuring the impact of work more pressing.
This workshop is also informed by an ongoing COST Action TD1210 KnowEscape.
Workshop Topics
We invite stimulating as well as unpublished submissions on topics including - but not limited to - full-text analysis, multimedia and multilingual analysis and alignment as well as citation-based NLP or IR. Specific examples of fields of interests include (but are not limited to):
- Information retrieval (IR) for digital libraries and scientific information portals
- IR for scholarly text, e.g. citation-based IR
- IR for scientific domains, e.g. social sciences, life sciences etc.
- Information Seeking Behaviour
- Navigation, searching and browsing in scholarly DLs; Niche search in scholarly DLs; New information access methods for scientific papers
- Query expansion and relevance feedback approaches
- Question-answering for scholarly DLs
- Recommendations based on explicit and implicit user feedback
- Recommendation for scholarly papers, reviewers, citations and publication venues
- (Social) Book Search
- Summarisation of scientific articles; Automatic creation of reviews and automatic qualitative assessment of submissions;
- Bibliometrics, citation analysis and network analysis for IR; Citation function/motivation analysis; Novel bibliographic metrics; Topical modeling analysis
- Knowledge discovery and analysis of the ancestry of ideas
- Metadata and controlled vocabularies for resource description and discovery; Automatic metadata discovery, such as language identification
- Translation, multilingual and multimedia analysis and alignment of scholarly works
- Analyses of writing style in scholarly publications
- Science Modelling (both formal and empirical)
- Task based user modelling, interaction, and personalisation
- (Long-term) Evaluation methods and test collection design
- Collaborative information handling and information sharing
- Disambiguation issues in scholarly DLs using NLP or IR techniques; Data cleaning and data quality
- Classification, categorisation and clustering approaches
- Information extraction (including topic detection, entity and relation extraction)
The CL-SciSumm Shared Task
http://wing.comp.nus.edu.sg/cl-scisumm2016
We will be running shared task on scholarly paper processing as part of the workshop. The current shared task will be on automatic paper summarisation in the Computational Linguistics (CL) domain. The output summaries will be of two types: faceted summaries of the traditional self-summary (the abstract) and the community summary (the collection of citation sentences ‘citances’). We also propose to group the citances by the facets of the text that they refer to.
This task follows up on the successful CL Pilot Task conducted as a part of the BiomedSumm Track at the Text Analysis Conference 2014 (TAC 2014). In this task, a training corpus of ten topics from CL research papers was released. Participants were invited to enter their systems in a task-based evaluation. Nine teams from four countries expressed an interest in participating in the shared task; three teams submitted system descriptions and findings. We also released the SciSumm14 manually annotated dataset, comprising of ACL Computational Linguistics research papers and summaries. It offers a community summary of a reference paper based on its collection of citing sentences “citances”. Furthermore, each citance is mapped to its referenced text in the reference paper and tagged with the information facet it represents. In our proposed shared task, we will extend this by releasing pairs of training and test datasets – each pair comprising the annotated citing sentences for a research paper, and the summaries of the research paper.
The CLSciSumm15 corpus is expected to be of interest to a broad community including those working in computational linguistics and natural language processing, text summarisation, discourse structure in scholarly discourse, paraphrase, textual entailment and text simplification.
We have secured support for the costs of the shared task annotation from Microsoft Research Asia. The National University of Singapore will be primarily responsible for the task's oversight.
*Updated* Special BIRNDL Issue of the International Journal on Digital Libraries (IJDL) is being finalised
We are working with the editorial board of the IJDL (Impact Factor 1.581) to feature a special issue on extended paper specially selected from the workshop. Authors of selected accepted submissions will be asked to extend their work for direct review for a special BIRNDL issue of the IJDL, to be published by mid 2017. Details are being finalised.
IJDL is indexed in SCOPUS, INSPEC, Google Scholar, EBSCO, CSA, Academic OneFile, Academic Search, ACM Digital Library, Computer Science Index, CSA Environmental Sciences, DBLP, FRANCIS, Gale, Information Science & Technology Abstracts (ISTA), io-port.net, Library, Information Science & Technology Abstracts (LISTA), OCLC, Referativnyi Zhurnal (VINITI), SCImago, Summon by ProQuest.