This technical report presents the work carried out for the Patent Passage Retrieval track of CLEF-IP 2012. Our aim was to create IR-Platform independent module for the Passage Retrieval process. For the Document retrieval Method a Language Model based on IPC classes and for the Passage Retrieval a Passage Intellectual property Extractor (PIPExtractor) was implemented. Topics with the main lang...

We participated in the passage retrieval and aspect retrieval subtasks of the TREC 2006 Genomics Track. This paper describes the methods developed for these two subtasks. For passage retrieval, our query expansion method utilizes multiple external biomedical resources to extract acronyms, aliases, and synonyms, and we propose a post-processing step which combines the evidences from multiple sco...

Passage retrieval is a crucial first step of automatic Question Answering (QA). While existing passage retrieval algorithms are effective at selecting document passages most similar to the question, or those that contain the expected answer types, they do not take into account which parts of the document the searchers actually found useful. We propose, to the best of our knowledge, the first su...

In the Fifth NTCIR Workshop, we organized the Patent Retrieval Task and performed three subtasks; Document Retrieval, Passage Retrieval, and Classification. This paper describes the Document Retrieval Subtask and Passage Retrieval Subtask, both of which were intended for patent-to-patent invalidity search task. We show the evaluation results of the groups participating in those subtasks.

Passages can be hidden within a text to circumvent their disallowed transfer. Such release of compartmentalized information is of concern to all corporate and governmental organizations. Passage retrieval is well studied; we posit, however, that passage detection is not. Passage retrieval is the determination of the degree of relevance of blocks of text, namely passages, comprising a document. ...

This paper investigates the use of diverse data fusion methods to improve the performance of the passage retrieval component in a question answering system. Our results obtained with 13 data fusion methods and 8 passage retrieval systems show that data fusion techniques are capable of improving the performance of a passage retrieval system by 6.43% and 11.32% in terms of the mean reciprocal ran...

Retrieval of electronic documents is a fundamental component for intelligent access to the contents of documents. Although the history of its research is long, it is still not a trivial task, in particular, when we retrieve long documents with short queries. For the retrieval of long documents, a method called passage-based document retrieval has proven to be effective. In this paper, we experi...

A first step in answering complex questions, such as those in the “Relationship” task of the Text REtrieval Conference’s Question Answering track (TREC/QA), is finding passages likely to contain pieces of the answer—passage retrieval. We introduce semantic overlap scoring, a new passage retrieval algorithm that facilitates credit assignment for inexact matches between query and candidate answer...