The BIRNDL workshop is the first step to foster a reflection on interdisciplinarity, and the benefits that the disciplines bibliometrics, IR and NLP can derive from it in a digital libraries context. The workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, text mining and recommendation techniques that 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. 

We invite papers and presentations that incorporate insights from IR, bibliometrics and NLP to develop new techniques to address the open problems in Big Science, such as evidence-based searching, measurement of research quality, relevance and impact, the emergence and decline of research problems, identification of scholarly relationships and influences and applied problems such as language translation, question-answering and summarization. Finding relevant scholarly literature is key point of the workshop and sets the agenda for tools and approaches to be discussed and evaluated at BIRNDL. At the workshop, we would also like to address the need for established, standardized baselines, evaluation metrics and test collections. 
See the  proceedings of the first BIRNDL workshop at JCDL 2016 and a recent report in SIGIR Forum. 
This workshop will be relevant to scholars in computer and information science, specialized in IR, bibliometrics and NLP. The Shared Task is expected to be of interest to a broad community including those working in CL and NLP, especially in the sub-disciplines of text summarization, discourse structure in scholarly discourse, paraphrase, textual entailment and text simplification. The workshop will also be of importance for all stakeholders in the publication pipeline: implementers, publishers and policymakers. Formal citation metrics are increasingly a factor in decision-making by universities and funding bodies worldwide, making the need for research in applying these metrics more pressing. Today's publishers continue to provide new ways to support their consumers in disseminating and retrieving the right published works to their audience. 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.