Action Modeling - University Of Maryland

Action Modeling - University Of Maryland

TREC-2006 at Maryland: Blog, Enterprise and QA Tracks
Douglas Oard, Tamer Elsayed, Yejun Wu, Pengyi Zhang, Eileen Abels, Jimmy Lin, and Dagobert Soergel
College of Information Studies / Computer Science Department / UMIACS, University of Maryland, College Park, USA
Blog Track: Opinion Retrieval Task

Enterprise Track: Expert Search Task

Retrieval Unit: Permalinks (postings + comments): 3,215,171 documents
cleaning

Permalink
Permalink
Docs
Docs

Cleaning rules based on
top 5 blog hosting sites

Cleaned
Cleaned
Docs
Docs

Participation Goals
Building an expert search baseline system
Applying models of identity to public mailing lists
Building a reference-resolution infrastructure

Fixed
Fixedsized
sized
Passages
Passages

Par0001
Par0001
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Par0002
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Par0005

0.21
0.12
0.44
0.56
0.32

Opinion relevance
evaluation

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WEEKLEY POALE

"March of the Penguins"</p> <p>In our last Weeklie Poll, we asked which was your favorite<br /> Ceratopsian.<br /> The winner, amid spiky competition, was, of course...<br /> ...STYRACOSAURUS.</p> <p>rabbit + crow blog<br /> It's like anything.<br /> Tuesday, December 20, 2005</p> <p>Provide opinion of the film<br /> documentary "March of the<br /> Penguins".</p> <p>"...Whoa!...Wow!...WOW!...Holy shit!...WOW!!!..."<br /> (my wife and I watching the first episode of Sir David Attenborough's "The Blue Planet" tonight)<br /> posted by Neal Romanek at 9:18 PM - permalink<br /> 0 Comments:<br /> Comment?</p> <p>If you found you could no longer walk, which mode of ambulation would<br /> you instead adopt?<br /> (_) Bustling<br /> (_) Charging<br /> (_) Creeping<br /> (_) Tip-Toeing<br /> (_) All of the above in various combinations<br /> (_) None of the above. I would adopt a stony stillness.</p> <p><narr> Narrative:<br /> Relevant documents should<br /> include opinions concerning the<br /> film documentary "March of the<br /> Penguins". Articles or comments<br /> about penguins outside the<br /> context of this film documentary<br /> are not relevant.</p> <p>buy the new shirt</p> <p>About Me</p> <p>questions? suggestions? confessions?<br /> ask@nealromanek.com</p> <p>My Photo<br /> Name:Neal Romanek<br /> Location:Los Angeles</p> <p>Listed on BlogShares<br /> blog search directory</p> <p>Comparison at Topic Relevance<br /> Runs<br /> ParTitDesDef<br /> ParTiDesDmt2<br /> ParTiDesDmt3<br /> ParTiDef<br /> PasTiDesDef</p> <p>MAP<br /> 0.2849<br /> 0.2845<br /> 0.2812<br /> 0.2362<br /> 0.2733</p> <p>Bpref<br /> 0.3998<br /> 0.4040<br /> 0.4034<br /> 0.3580<br /> 0.3866</p> <p>P@10<br /> 0.6200<br /> 0.6200<br /> 0.6200<br /> 0.5280<br /> 0.5800</p> <p>R-Prec<br /> 0.3490<br /> 0.3501<br /> 0.3542<br /> 0.3162<br /> 0.3516</p> <p>R-Prec<br /> 0.2441<br /> 0.2421<br /> 0.2417<br /> 0.2106<br /> 0.2264</p> <p>Quoted receiver</p> <p>0.5</p> <p>Quoted text</p> <p>tf</p> <p>MAP</p> <p>P@10<br /> 0.182</p> <p>Title + Narrative</p> <p>Email</p> <p>0.350</p> <p>0.504</p> <p>0.141</p> <p>0.298</p> <p>Title</p> <p>Thread</p> <p>0.218</p> <p>0.449</p> <p>0.090</p> <p>0.198</p> <p>Title + Narrative</p> <p>Thread</p> <p>0.343</p> <p>0.514</p> <p>0.139</p> <p>0.294</p> <p>0.315</p> <p>0.502</p> <p>0.119</p> <p>0.278</p> <p>Avg. of Medians</p> <p>0.341</p> <p>0.508</p> <p>0.154</p> <p>0.294</p> <p>Removing non email-supported</p> <p>0.365</p> <p>0.525</p> <p>0.147</p> <p>0.311</p> <p>Supported Retrieval Results</p> <p>Title+Narr/Email - retrieved</p> <p>0.8</p> <p>-0.2<br /> -0.4<br /> -0.6</p> <p>Median Better</p> <p> Paragraphs better for both topic and opinion retrieval.<br /> Title+Description queries beat title only.<br /> Demoting non-opinionated documents had little effect.</p> <p>Parameter tuning for:<br /> Low frequency words.<br /> Paragraph detection, passage size.<br /> Aggregation of opinion scores.<br /> Threshold of opinion scores.</p> <p>Interaction Forms<br /> Generation</p> <p>Title+Narr/Email - retrieved+supported</p> <p>0.0</p> <p>Answer Ranking</p> <p>Refined<br /> Answers</p> <p>-0.4<br /> -0.6<br /> -0.8</p> <p>Topic (sorted by difference)</p> <p>Title +Narr/Email - retrieved</p> <p>0.2<br /> 0.0<br /> -0.2</p> <p>Topic (sorted by email support ratio)</p> <p>Title+Narr/Email - retrieved+supported</p> <p>0.4<br /> 0.0</p> <p>-0.8</p> <p>Topic (sorted by email support ratio)</p> <p>Topic (sorted by email support ratio)</p> <p>Title+Narr/Email - retrieved+supported</p> <p>0.0<br /> -0.1<br /> -0.3<br /> -0.4<br /> -0.5<br /> -0.6<br /> -0.7<br /> 2</p> <p>R = 0.3531</p> <p>Topic (sorted by email support ratio)</p> <p>Conclusion<br /> Average performance<br /> Threads help in short queries<br /> More email support more accurate</p> <p># Topics</p> <p>Topic 055<br /> Please indicate the relevance of the following<br /> answers.<br /> 1. Most of Sierra Leone's diamonds were and<br /> still are smuggled into neighboring Liberia for<br /> sale, according to several human rights groups<br /> and diamond industry experts.<br /> Relevant.<br /> Somewhat relevant.<br /> Not relevant.</p> <p>Avg. Improvement</p> <p>0.0<br /> -0.1<br /> -0.2<br /> -0.3<br /> -0.4<br /> -0.5<br /> -0.6<br /> -0.7<br /> -0.8<br /> -0.9<br /> -1.0</p> <p>150%<br /> 100%<br /> 50%</p> <p>-0.0124 (-4.0%)</p> <p>0%</p> <p>#2</p> <p>12</p> <p>0.0300 (8.2%)</p> <p>-50%</p> <p>#3</p> <p>8</p> <p>0.106 (44.0%)</p> <p>Analysis 2:<br /> Consistency in Judgment<br /> Post</p> <p>Manual</p> <p>topics</p> <p>Clarification<br /> questions</p> <p>Importance of<br /> answer types</p> <p>Sample relevance<br /> feedback</p> <p>Analysis 3:<br /> Relevant Sentences vs. Answer Nuggets<br /> Manual +<br /> AutoFiller</p> <p>Automatic</p> <p>427<br /> (87.9%)</p> <p>995<br /> (90.3%)</p> <p>452<br /> (90.0%)</p> <p>Relevant<br /> Sentences</p> <p>Partially<br /> Not Relevant<br /> Relevant<br /> Sentences<br /> Sentences</p> <p>Nugget</p> <p>74</p> <p>8</p> <p>16</p> <p>Y</p> <p>Y</p> <p>194</p> <p>224</p> <p>78</p> <p>Not Nugget</p> <p>258</p> <p>69</p> <p>270</p> <p>N</p> <p>N</p> <p>233</p> <p>771</p> <p>374</p> <p>All</p> <p>332</p> <p>77</p> <p>286</p> <p>59<br /> (12.1%)</p> <p>107<br /> (9.7%)</p> <p>50<br /> (10.0%)</p> <p>Percentage</p> <p>22%</p> <p>10%</p> <p>6%</p> <p>Inconsistent<br /> judgments</p> <p>R2 = 0.4758</p> <p>200%</p> <p>10</p> <p>Consistent<br /> judgments</p> <p>-0.6</p> <p>-0.8</p> <p>3</p> <p>250%</p> <p>0.224<br /> 0.180 (-19.4%)</p> <p>0.2</p> <p>-0.4</p> <p>-0.6</p> <p>0.316<br /> 0.350 (+10.6%)</p> <p>#1</p> <p>Pre</p> <p>0.6</p> <p>-0.2</p> <p>-0.4</p> <p>UMDM1pre<br /> UMDM1post</p> <p>Type</p> <p>0.8</p> <p>0.4</p> <p>Topic 042<br /> Please rate the importance of following types<br /> of evidence.<br /> 1. General claim of effects of aspirin.<br /> Important. Somewhat important.<br /> Not needed at all.<br /> 2. Guideline of how aspirin can be used to treat<br /> heart diseases.<br /> Important. Somewhat important.<br /> Not needed at all.</p> <p>300%</p> <p>Number of Support Emails</p> <p>300</p> <p>Topic (sorted by email support ratio)</p> <p>F-Score</p> <p>UMDA1pre<br /> UMDA1post</p> <p>600</p> <p>0</p> <p>2</p> <p>Results and Analysis<br /> Run</p> <p>900</p> <p>0.6</p> <p>-0.8</p> <p>Ordered<br /> Answers</p> <p>1</p> <p>Analysis 1:<br /> Interaction Performances by Type of Interaction</p> <p>Performance Relative to Email Support<br /> 0.8</p> <p>Answer Generation</p> <p>Unordered Answers</p> <p>-0.2</p> <p>1200</p> <p>-1.0</p> <p>Future Work</p> <p>Queries</p> <p>Top 20 relevant<br /> documents</p> <p>0.0</p> <p>Email Support Ratio</p> <p>0.4</p> <p>-0.9</p> <p>Conclusions</p> <p>Questions</p> <p>0.2</p> <p>Topic (sorted by difference)</p> <p>-0.2</p> <p>-0.0800</p> <p>Analysis of<br /> Interaction Responses</p> <p>0.4</p> <p>Title+Narr/Email - retrieved</p> <p>ParTiDesDef Better</p> <p> CIA World Fact Book<br /> Google<br /> WordNet<br /> Rogets Thesaurus<br /> Wikipedia</p> <p>0.6</p> <p>0.0</p> <p>Topic 026<br /> 1. What types of smuggled disks are you<br /> interested in? Check all that apply:<br /> VCDs CDs DVDs<br /> Other. Please specify:</p> <p>Relevance Feedback</p> <p>0.072</p> <p>Thread</p> <p>Interaction Questions</p> <p>Importance of Answer Types</p> <p>Support</p> <p>Retrieval<br /> MAP<br /> P@10</p> <p>0.2</p> <p>ParTiDesDmt2 Better</p> <p>-0.0400<br /> -0.0600</p> <p>1.0</p> <p>Hom Much Email Support Over Topics?</p> <p>0.0000<br /> -0.0200</p> <p>Quoted sender</p> <p>0.406</p> <p>-0.8</p> <p>886<br /> 859<br /> 851<br /> 856<br /> 867<br /> 881<br /> 875<br /> 872<br /> 890<br /> 878<br /> 865<br /> 889<br /> 882<br /> 864<br /> 895<br /> 893<br /> 853<br /> 860<br /> 896<br /> 891<br /> 876<br /> 852<br /> 885<br /> 868<br /> 866<br /> 862<br /> 877<br /> 899<br /> 900<br /> 858<br /> 898<br /> 857<br /> 854<br /> 897<br /> 863<br /> 874<br /> 880<br /> 870<br /> 879<br /> 888<br /> 861<br /> 873<br /> 887<br /> 871<br /> 869<br /> 883<br /> 894<br /> 892<br /> 855<br /> 884</p> <p>Difference in AP</p> <p>892<br /> 859<br /> 865<br /> 883<br /> 852<br /> 874<br /> 863<br /> 870<br /> 884<br /> 851<br /> 873<br /> 871<br /> 854<br /> 867<br /> 855<br /> 889<br /> 875<br /> 890<br /> 869<br /> 872<br /> 864<br /> 861<br /> 881<br /> 900<br /> 895<br /> 885<br /> 886<br /> 856<br /> 857<br /> 868<br /> 897<br /> 877<br /> 882<br /> 878<br /> 853<br /> 888<br /> 891<br /> 880<br /> 899<br /> 898<br /> 896<br /> 860<br /> 862<br /> 876<br /> 894<br /> 887<br /> 866<br /> 879<br /> 858<br /> 893</p> <p>0.0200</p> <p>tf</p> <p>0.195</p> <p>0.2</p> <p>Runs<br /> ParTitDesDef<br /> ParTiDesDmt2<br /> ParTiDesDmt3<br /> ParTiDef<br /> ParrTiDesDef</p> <p>0.0400</p> <p>New text</p> <p>0.8</p> <p>0.0600</p> <p>ParTiDesDmt2 Better</p> <p>1.0</p> <p>Email</p> <p>0.4</p> <p>0.6</p> <p>P@10<br /> 0.3780<br /> 0.3780<br /> 0.3780<br /> 0.3360<br /> 0.3460</p> <p>Subject</p> <p>0.6</p> <p>Comparison at Opinion Relevance<br /> Bpref<br /> 0.2521<br /> 0.2573<br /> 0.2568<br /> 0.2256<br /> 0.2274</p> <p>1.0</p> <p>Title</p> <p>0.8</p> <p>1.0</p> <p>MAP<br /> 0.1882<br /> 0.1887<br /> 0.1873<br /> 0.1547<br /> 0.1631</p> <p>Receiver</p> <p>Approach</p> <p>Retrieval Results</p> <p><desc> Description:</p> <p>THIS WEEK...</p> <p>Blue Planet</p> <p>Difference in AP</p> <p><num> Number: 851</p> <p>2.0</p> <p>Query</p> <p>Title + Description</p> <p>Example Topic:</p> <p>Archives<br /> SUBSCRIBE to the Rabbit + Crow Blog!</p> <p>Example Question:<br /> Topic 26.<br /> Question: What evidence is there for transport of [smuggled VCDs] from<br /> [Hong Kong] to [China]?<br /> Narrative: The analyst is particularly interested in knowing the volume of<br /> smuggled VCDs and also the ruses used by smugglers to hide their efforts.</p> <p>Document Retrieval</p> <p>Results</p> <p>1<br /> hits ( w1 NEARw2 )<br /> PMI ( w1 , w2 ) log 2 ( N<br /> )<br /> 1<br /> 1<br /> hits ( w1 ) hits ( w2 )<br /> N<br /> N</p> <p>The Previous Posts</p> <p>Notify Blogger about objectionable content.<br /> What does this mean?</p> <p>0.60<br /> 0.50<br /> 0.40<br /> 0.30<br /> 0.20<br /> 0.10<br /> 0.00<br /> -0.10<br /> -0.20</p> <p>SO-PMI(w) = PMI(w, {positive paradigms})<br /> PMI(w, {negative paradigms})</p> <p>8221<br /> lemmas<br /> Wilson & Wiebes lexicon</p> <p>BLOG06-20051224-029-0001622821.cln</p> <p>Email and Thread<br /> Index</p> <p>Compute Semantic Orientation of<br /> words (Turney & Littman, 2002):</p> <p>1.0</p> <p>Docs</p> <p>merge</p> <p>Duplicate<br /> Removal</p> <p>W3C<br /> Mailing Lists</p> <p>Three types of interaction:</p> <p>External resources:</p> <p>Sender</p> <p>Diff. from Median (AP)</p> <p>16773<br /> lemmas</p> <p>Ranked<br /> List</p> <p>score(cand | T ) support (d | cand , T )<br /> hH d h<br /> assoc(cand , d )<br /> support(d | cand , T ) sim(root (d ), T )<br /> level(d , hd )<br /> Reference Credit Wf for Email Fields</p> <p>Diff. from Median (AP)</p> <p>1<br /> 2<br /> 3<br /> 4<br /> 5</p> <p>Retrieval Engine</p> <p>(-3 ~ -0.05) negative<br /> (0.05 ~ 5) positive</p> <p>0.2</p> <p>lemmatized</p> <p>Ranked<br /> Ranked<br /> List<br /> List</p> <p>Thread-based Scoring</p> <p>Emails</p> <p>Lemmatize;<br /> Remove: stop words &<br /> Not in dictionary by spell<br /> DF<=40 Compute SO of words Demotion by 2 or 3 times If <0.15 normalized Docs Ratio Docs merge Topic Candidate Scoring f d Diff. from Median (AP) Topic relevance evaluation Reference Recognition Diff. from Median (AP) merge Top Top1000 1000 paragraphs paragraphs Indri Index assoc(cand , d ) w f (cand ) Enriched Candidate Models Models of Identity Methods d RT support(d | cand , T ) sim(d , T ) assoc(cand , d ) Email Addresses Full Names Nicknames Diff. from Best (AP) Indri Index score(cand | T ) support (d | cand , T ) Diff. from Best (AP) query . Window = 50 words Overlap = 10 words To explore the effectiveness of single-iteration written clarification dialogs; To explore different strategies for clarifying user needs in question answering; To better understand the nature of complex, template-based questions. Email-based Scoring Candidate List Paragraphs Paragraphs Participation Goals improvement of F-score (%) Task Goal: locating blog posts that express an opinion about a target. QA Track: ciQA Task Y N 37 48 20 N Y 22 59 30 Difference -15 +11 +10 Topic (sorted by email support ratio) Future Work Improved reference resolution Parameter tuning for weighted-field credit Learning from reply features Conclusion Future Work Relevance feedback does not always work for QA The error margin of nugget judgments is ~10% Relevant sentence answer nugget Examination of possible systematic errors in nugget judgments Exploration of the relationship between relevant sentences and answer nuggets </p> </div> </div> </div> </section> <section class="main-section"> <div class="container"> <script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script><!-- Responsive --><ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-3757518916489959" data-ad-slot="1838143700" data-ad-format="auto" data-full-width-responsive="true"></ins><script>(adsbygoogle = window.adsbygoogle || []).push({});</script> </div> </section> <section class="main-section"> <div class="container"> <div class="document-others"> <h2 class="section-title text-center">Related Presentations</h2> <div class="row"> <div class="col-lg-3 col-md-4 col-6 grid-margin stretch-card mb-4"> <div class="card"> <div class="card-body"> <a href="http://darkhavenbookreviews.com/slide/the-use-of-quotations-in-writing-sandersx27-english-nook-wlrlgh" title="The Use of Quotations in Writing - Sanders&#x27; 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