From huiyang at cs.cmu.edu Thu Oct 2 11:59:29 2008 From: huiyang at cs.cmu.edu (Grace Hui Yang) Date: Thu, 02 Oct 2008 11:59:29 -0400 Subject: Reminder : [IR Discussion Series] Today 2pm in Wean 7220. In-Reply-To: <48E17657.6060002@cs.cmu.edu> References: <48E17620.5080701@cs.cmu.edu> <48E17657.6060002@cs.cmu.edu> Message-ID: <48E4EFE1.2080201@cs.cmu.edu> Dear all, >> >> We are going to have Le Zhao to give our first IR talk in this >> semester. Reception will provided by Yahoo!. Here is the talk >> information: >> >> Date: Thursday 2nd Oct 2008 >> Time: 2pm >> Place: Wean Hall 7220 >> >> Speaker: Le Zhao >> Title: A Generative Retrieval Model for Structured Documents >> >> Abstract >> Structured documents contain elements defined by the author(s) and >> annotations assigned by other people or processes. Structured >> documents >> pose challenges for probabilistic retrieval models when there are >> mismatches between the structured query and the actual structure in a >> relevant document or erroneous structure introduced by an annotator. >> This >> paper makes three contributions. First, a new generative retrieval >> model >> is proposed to deal with the mismatch problem. This new model >> extends the >> basic keyword language model by treating structure as hidden variable >> during the generation process. Second, variations of the model are >> compared. Third, term-level and structure-level smoothing strategies are >> studied. Evaluation was conducted with INEX XML retrieval and >> question-answering retrieval tasks. Experimental results indicate that >> the optimal structured retrieval model is task dependent, two-level >> Dirichlet smoothing significantly outperforms two-level Jelinek-Mercer >> smoothing, and with accurate structured queries, the proposed structured >> retrieval model outperforms keyword retrieval significantly, on both QA >> and INEX datasets. >> >> Based on work accepted at CIKM'08. >> >> >> See you then! >> >> Grace, Jaime, Jon >> >> >> >> >> > > From huiyang at cs.cmu.edu Thu Oct 2 21:23:19 2008 From: huiyang at cs.cmu.edu (Grace Hui Yang) Date: Thu, 02 Oct 2008 21:23:19 -0400 Subject: [IR discussion Series] Rosie Jones,Thursday 9th Oct 11am Message-ID: <48E57407.4080804@cs.cmu.edu> Dear all, We are pleased to have Rosie Jones from Yahoo! research to give her talk on Web Search Sessions next Thursday. Please mark your calender for her talk. Lunch will be provided by Yahoo!. See you then! ================================================================================= 3002 Newell-Simon Hall Thursday, October 9, 2008 11:00am-12pm Speaker : Rosie Jones Title: Web Search Sessions Abstract: Traditionally, information retrieval examines the search query in isolation: a query is used to retrieve documents, and the relevance of the documents returned are evaluated in relation to that query. However, users typically conduct web and other types of searches in sessions, issuing a query, examining results, and the re-issuing a modified query to improve the results. We decribe the properties of real web search sessions, and show that users conduct searches for both broad and finer grained tasks, which can be both interleaved and nested. We show that user search reformulations can be mined to identify related terms, and that we can identify the boundaries between tasks with greater accuracy than previous methods. Bio: Rosie Jones is a Senior Research Scientist at Yahoo!. Her research interests include web search, geographic information retrieval, and natural language processing. She received her PhD from the Language Technologies Institute at Carnegie Mellon University under the supervision of Tom Mitchell, where her doctoral thesis was titled Learning to Extract Entities from Labeled and Unlabeled Text. She is co-organizing the WSDM 2009 Workshop on Web Search Click Data (WSCD09). She served on the Senior PC for SIGIR in 2007 and 2008, and is a Senior Member of the ACM. From huiyang at cs.cmu.edu Wed Oct 8 14:34:24 2008 From: huiyang at cs.cmu.edu (Grace Hui Yang) Date: Wed, 08 Oct 2008 14:34:24 -0400 Subject: Reminder: [IR discussion Series] Rosie Jones,Tomorrow 11am @ NSH 3002 In-Reply-To: <48E57407.4080804@cs.cmu.edu> References: <48E57407.4080804@cs.cmu.edu> Message-ID: <48ECFD30.7020402@cs.cmu.edu> Grace Hui Yang wrote: > Dear all, > We are pleased to have Rosie Jones from Yahoo! research to give her > talk on Web Search Sessions next Thursday. Please mark your calender > for her talk. Lunch will be provided by Yahoo!. > See you then! > > ================================================================================= > > > 3002 Newell-Simon Hall > Thursday, October 9, 2008 > 11:00am-12pm > > Speaker : Rosie Jones > > Title: Web Search Sessions > > > Abstract: Traditionally, information retrieval examines the search > query in > isolation: a query is used to retrieve documents, and the relevance of > the documents returned are evaluated in relation to that query. However, > users typically conduct web and other types of searches in sessions, > issuing a query, examining results, and the re-issuing a modified > query to > improve the results. We decribe the properties of real web search > sessions, and show that users conduct searches for both broad and finer > grained tasks, which can be both interleaved and nested. We show that > user > search reformulations can be mined to identify related terms, and that we > can identify the boundaries between tasks with greater accuracy than > previous methods. > > Bio: > Rosie Jones is a Senior Research Scientist at Yahoo!. Her research > interests include web search, geographic information retrieval, and > natural > language processing. She received her PhD from the Language Technologies > Institute at Carnegie Mellon University under the > supervision of Tom Mitchell, where her doctoral thesis was titled > Learning > to Extract Entities from Labeled and Unlabeled Text. She is co-organizing > the WSDM 2009 Workshop on Web Search Click Data (WSCD09). She served on > the Senior PC for SIGIR in 2007 and 2008, and is a Senior Member of the > ACM. > > > > > >