Text retrieval systems store a great variety of documents, from abstracts, newspaper articles, and web pages to journal articles, books, court transcripts, and legislation. Collections of diverse types of documents expose shortcomings in current approaches to ranking. Use of short fragments of documents, called passages, instead of whole documents can overcome these shortcomings: passage rankin...

This paper describes the test collections produced for the Patent Retrieval Task in the Fifth NTCIR Workshop. We performed the invalidity search task, in which each participant group searches a patent collection for the patents that can invalidate the demand in an existing claim. For this purpose, we performed both document and passage retrieval tasks. We also performed the automatic patent cla...

This paper describes the first participation of IR-n system at Spoken Document Retrieval, focusing on the experiments we made before participation and showing the results we obtained. IR-n system is an Information Retrieval system based on passages and the recognition of sentences to define them. So, the main goal of this experiment is to adapt IR-n system to the spoken document structure by me...

Our work aimed at experimentally assessing the benefits of model ensembling within context neural methods for passage re-ranking. Starting from relatively standard models, we use a previous technique named Fast Geometric Ensembling to generate multiple instances particular training schedules, then focusing or attention on different types approaches combining results (e.g., averaging ranking sco...

Coins are commonly ingested foreign body (FB) in children, particularly the area just below cricopharyngeus muscle, being most common site of lodgement. The aim present study was to evaluate effectiveness point-of-care ultrasound (POCUS) upper airway as an investigation arm guide and assist clinical management coin children with expectant for spontaneous passage. A total 50 oesophagus were chos...

Monitoring news and blogs has become a promising application for global operating groups, who are interested in recognizing topic developments in a fragmented topic landscape. News articles especially long ones may consist of several topics or different aspects of the same topic. In terms of Topic Detection and Tracking (TDT) it is hard to figure out the topic development in a stream of news or...

In many QA systems, fine-grained named entities are extracted by coarse-grained named entity recognizer and fine-grained named entity dictionary. In this paper, we describe a fine-grained Named Entity Recognition using Conditional Random Fields (CRFs) for question answering. We used CRFs to detect boundary of named entities and Maximum Entropy (ME) to classify named entity classes. Using the pr...

iCLEF 2004 is the first comparative evaluation of interactive Cross-Language Question Answering systems. The UNED group has participated in this task comparing two strategies to help users in the answer finding task: the baseline system is just a standard document retrieval engine searching machine-translated versions of the documents; the contrastive system is identical, but searching passages...