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Keyphrases represent the most important information of text which often serve as a surrogate for efficiently summarizing text documents. With the advancement of deep neural networks, recent years have witnessed rapid development in automatic ...

Citation recommendation is intended to assist researchers in the process of searching for relevant papers to cite by recommending appropriate citations for a given input text. Existing test collections for this task are noisy and unreliable since they ...

Keyphrase extraction models are usually evaluated under different, not directly comparable, experimental setups. As a result, it remains unclear how well proposed models actually perform, and how they compare to each other. In this work, we address this ...

Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that ...

In this paper we describe our participation and present our contributions in the INEX 2010 Book Track. Digitized books are now a common source of information on the Web, however OCR sometimes introduces errors that can penalize Information Retrieval. We ...

In this paper, we describe the construction of a test collection for evaluating clinical information retrieval. The purpose of this test collection is to provide a basis for researchers to experiment with PECO-structured queries. Systematic reviews are ...

The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Comparison (C) and Outcome (O). However, no test collection is available to ...

In evidence-based medicine, clinical questions involve four aspects: Patient/Problem (P), Intervention (I), Comparison (C) and Outcome (O), known as PICO elements. In this paper we present a method that extends the language modeling approach to ...

Without a well formulated and structured question, it can be very difficult and time consuming for physicians to identify appropriate resources and search for the best available evidence for medical treatment in evidence-based medicine (EBM). In EBM, ...

This paper discusses an approach to topic-oriented multi-document summarization. It investigates the effectiveness of using additional information about the document set as a whole, as well as individual documents. We present NEO-CORTEX, a multi-...

In this paper, we propose an efficient strategy for summarizing scientific documents in Organic Chemistry that concentrates on numerical treatments. We present its implementation named <Emphasis Type="SmallCaps">yachs</Emphasis>(Yet Another Chemistry ...

This paper investigates the problem of automatic chemical Term Recognition (TR) and proposes to tackle the problem by fusing Symbolic and statistical techniques. Unlike other solutions described in the literature, which only use complex and costly human ...