# Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)

## TL;DR

This paper discusses the BIRNDL 2017 workshop focused on advancing scholarly document understanding and retrieval through bibliometrics, NLP, and text mining techniques, aiming to improve information access in large-scale scholarly data.

## Contribution

It introduces new approaches integrating bibliometrics, NLP, and information retrieval to enhance scholarly document analysis and retrieval at scale.

## Key findings

- Stimulated research in bibliometric-enhanced IR and NLP for digital libraries.
- Presented the third edition of the CL Scientific Summarization Shared Task.
- Highlighted the need for wider adoption of these techniques in scholarly search.

## Abstract

The large scale of scholarly publications poses a challenge for scholars in information seeking and sensemaking. Bibliometrics, information retrieval (IR), text mining and NLP techniques could help in these search and look-up activities, but are not yet widely used. This 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. The BIRNDL workshop at SIGIR 2017 will incorporate an invited talk, paper sessions and the third edition of the Computational Linguistics (CL) Scientific Summarization Shared Task.