Patent retrieval: a literature review <s> TREC-CHEM collections <s> Over the past decades, significant progress has been made in Information Retrieval (IR), ranging from efficiency and scalability to theoretical modeling and evaluation. However, many grand challenges remain. Recently, more and more attention has been paid to the research in domain specific IR applications, as evidenced by the organization of Genomics and Legal tracks in the Text REtrieval Conference (TREC). Now it is the right time to carry out large scale evaluations on chemical datasets in order to promote the research in chemical IR in general and chemical Patent IR in particular. Accordingly, we organize a chemical IR track in TREC (TREC-CHEM) in order to address the challenges in chemical and patent IR. This paper describes these challenges and the accomplishments of the first year and opens up the discussions for the next year. <s> BIB001 </s> Patent retrieval: a literature review <s> TREC-CHEM collections <s> Abstract : TREC 2009 was the first year of the Chemical IR Track, which focuses on evaluation of search techniques for discovery of digitally stored information on chemical patents and academic journal articles. The track included two tasks: Prior Art (PA) and Technical Survey (TS) tasks. This paper describes how we designed the two tasks and presents the official results of eight participating groups. <s> BIB002
The TREC-CHEM track was organized to motivate large-scale research on chemical datasets, especially chemical patent retrieval BIB001 . TREC-CHEM 2009: this collection was created as a test collection for two tasks BIB001 : (1) technology survey, and (2) prior art search. Eighteen topics were provided for the technology survey task where relevance judgments were obtained from experts and chemistry graduate students. For the prior art search, 1000 patents were provided as test topics where relevance judgments were collected from the citations of topic patents as well as their family members. TREC-CHEM 2011: this collection was created for the same two tasks as in previous TREC-CHEM tracks besides a new chemical image recognition task. The technology survey task topics were biomedical and pharmaceutical patents BIB002 .