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Passage retrieval for incorporating global evidence in sequence labeling

Jeffrey Dalton, James Allan, David A. Smith
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM &#39;11</a> </i> &nbsp;
We propose using passage retrieval to induce non-local dependencies in structured classification that generalizes earlier work in context aggregation for namedentity recognition.  ...  Many forms of linguistic analysis, such as part of speech tagging, named entity recognition, and other sequence labeling tasks are performed on short spans of text and assume statistical dependence within  ...  In Section 5 we test PASSAGE RETRIEVAL FOR NER This section formalizes the use of passage retrieval in the context of a sequence labeling task.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2063576.2063633">doi:10.1145/2063576.2063633</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/DaltonAS11.html">dblp:conf/cikm/DaltonAS11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wjmxnrbhtndt5ao75ahcefch6e">fatcat:wjmxnrbhtndt5ao75ahcefch6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20121219160237/http://ciir-publications.cs.umass.edu:80/pub/web/getpdf.php?id=987" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/d0/cad04718abf4dfe9401a6b08d5ed9143b89f9298.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2063576.2063633"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Automatic Claim Review for Climate Science via Explanation Generation [article]

Shraey Bhatia, Jey Han Lau, Timothy Baldwin
<span title="2021-07-30">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we try to aid them by automating generating explanation for a predicted veracity label for a claim by deploying the approach used in open domain question answering of a fusion in decoder  ...  augmented with retrieved supporting passages from an external knowledge.  ...  For a given claim, we filter out evidence sentences which differ in label to the overall claim label.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.14740v1">arXiv:2107.14740v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpiby427p5dbbjjpb6xppc3dka">fatcat:rpiby427p5dbbjjpb6xppc3dka</a> </span>
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Scientific Claim Verification with VERT5ERINI [article]

Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
<span title="2020-10-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose VERT5ERINI that exploits T5 for abstract retrieval, sentence selection and label prediction, which are three critical sub-tasks of claim verification.  ...  This work describes the adaptation of a pretrained sequence-to-sequence model to the task of scientific claim verification in the biomedical domain.  ...  Additionally, we would like to thank Google for computational resources in the form of Google Cloud credits.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.11930v1">arXiv:2010.11930v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hnq2vvr76fdvliqx4zep56rwpy">fatcat:hnq2vvr76fdvliqx4zep56rwpy</a> </span>
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Improving verbose queries using subset distribution

Xiaobing Xue, Samuel Huston, W. Bruce Croft
<span title="">2010</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6g37zvjwwrhv3dizi6ffue642m" style="color: black;">Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM &#39;10</a> </i> &nbsp;
Dealing with verbose (or long) queries poses a new challenge for information retrieval.  ...  Specifically, sub-query selection is considered as a sequential labeling problem, where each query word in a verbose query is assigned a label of "keep" or "don't keep".  ...  Acknowledgments This work was supported in part by the Center for Intelligent Information Retrieval, in part by NSF grant #IIS-0711348, and in part by NSF grant #IIS-0534383.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1871437.1871572">doi:10.1145/1871437.1871572</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cikm/XueHC10.html">dblp:conf/cikm/XueHC10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j343rsvvandola2uzi4bxztafu">fatcat:j343rsvvandola2uzi4bxztafu</a> </span>
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The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures [article]

Sushant Singh, Ausif Mahmood
<span title="2021-04-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we summarize and examine the current state-of-the-art (SOTA) NLP models that have been employed for numerous NLP tasks for optimal performance and efficiency.  ...  Recent research has also focused on superior inference by providing efficient attention to longer input sequences.  ...  To achieve greater context in output sequence ( ) generation, the general-purpose RAG incorporates retrieved text passages for a given input , that involve two major components: ( ) Retriever Ƞ ( | ),  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.10640v3">arXiv:2104.10640v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ctuyddhm3baajk5uqrynwdap44">fatcat:ctuyddhm3baajk5uqrynwdap44</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429103025/https://arxiv.org/ftp/arxiv/papers/2104/2104.10640.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/f7/38f71723c49865ddd890ee4dff6ce1661d8730a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.10640v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The NLP Cookbook: Modern Recipes for Transformer Based Deep Learning Architectures

Sushant Singh, Ausif Mahmood
<span title="">2021</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In this paper, we summarize and examine the current state-of-the-art (SOTA) NLP models that have been employed for numerous NLP tasks for optimal performance and efficiency.  ...  Recent research has also focused on superior inference by providing efficient attention to longer input sequences.  ...  To achieve greater context in output sequence ( ) generation, the general-purpose RAG incorporates retrieved text passages for a given input , that involve two major components: ( ) Retriever Ƞ ( | ),  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3077350">doi:10.1109/access.2021.3077350</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gchmms4m2ndvzdowgrvro3w6z4">fatcat:gchmms4m2ndvzdowgrvro3w6z4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210717130402/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09422763.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/51/34/5134672ffb30e7b90c27ab84e879258b18050fcf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2021.3077350"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Global Hypomethylation of Genomic DNA in Cancer-Associated Myofibroblasts

L. Jiang, T. A. Gonda, M. V. Gamble, M. Salas, V. Seshan, S. Tu, W. S. Twaddell, P. Hegyi, G. Lazar, I. Steele, A. Varro, T. C. Wang (+1 others)
<span title="2008-12-01">2008</span> <i title="American Association for Cancer Research (AACR)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/czhppgb4znaghaxcyto6oc7jhe" style="color: black;">Cancer Research</a> </i> &nbsp;
Here we show evidence for this same type of epigenetic alteration in cancer-associated stromal myofibroblasts.  ...  cytosine incorporation assay.  ...  We thank Fuksz Zoltanne and Vesna Ilievski for technical assistance, and the editors for helpful suggestions on interpretation. Figure 6 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1158/0008-5472.can-08-1319">doi:10.1158/0008-5472.can-08-1319</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19047171">pmid:19047171</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2670548/">pmcid:PMC2670548</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4avxvhhy6bec3oavnk2t2xg4xq">fatcat:4avxvhhy6bec3oavnk2t2xg4xq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719102754/http://cancerres.aacrjournals.org/content/canres/68/23/9900.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/75/53/7553c27cff198f24f30d7900cfdfb2de8dfd6f7d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1158/0008-5472.can-08-1319"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2670548" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Information retrieval with query hypergraphs

Michael Bendersky
<span title="2012-12-21">2012</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/emlsu7gwyfalfms3c35odq5qlm" style="color: black;">SIGIR Forum</a> </i> &nbsp;
Bruce taught me innumerable valuable lessons in conducting successful and meaningful research.  ...  The main challenges in using passage-based evidence in document retrieval are (a) the identification of passage boundaries, and (b) the integration of passage evidence in the retrieval model.  ...  Passage-Based Retrieval Models The most common way to integrate the passage-based evidence in the retrieval model is to combine the relevance score of the entire document with that of its passages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2422256.2422273">doi:10.1145/2422256.2422273</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6qycajgmcvhlja7yehghwvsexi">fatcat:6qycajgmcvhlja7yehghwvsexi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723023916/https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1632&amp;context=open_access_dissertations" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/26/8826ee6c9dab5b3ef3f68ba82b5f9ab2827e1229.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2422256.2422273"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> acm.org </button> </a>

Queries? Links? Is there a difference?

Gene Golovchinsky
<span title="">1997</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4obeqfuqs5gzbos5ah64a7m57a" style="color: black;">Proceedings of the SIGCHI conference on Human factors in computing systems - CHI &#39;97</a> </i> &nbsp;
This work has implications for the design of information exploration interfaces; the dynamic link algorithms described here are being incorporated into a Web server.  ...  An experiment was conducted to compare browsing behavior in query-and link-based interfaces.  ...  ACKNOWLEDGMENTS The author wishes to thank Mark Chignell, David Modjeska, Lynn Wilcox and the anonymous reviewers for their helpful comments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/258549.258820">doi:10.1145/258549.258820</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/chi/Golovchinsky97.html">dblp:conf/chi/Golovchinsky97</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6xypbikizvadbeubebmuy6i4gq">fatcat:6xypbikizvadbeubebmuy6i4gq</a> </span>
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A Survey of Knowledge-Enhanced Text Generation [article]

Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
<span title="2022-01-14">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To address this issue, researchers have considered incorporating various forms of knowledge beyond the input text into the generation models.  ...  The main content includes two parts: (i) general methods and architectures for integrating knowledge into text generation; (ii) specific techniques and applications according to different forms of knowledge  ...  Thus, retrieving external evidence is also an important step for automatic argument generation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.04389v3">arXiv:2010.04389v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vzdtlz4j65g2va7gwkbmzyxkhq">fatcat:vzdtlz4j65g2va7gwkbmzyxkhq</a> </span>
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Long Document Ranking with Query-Directed Sparse Transformer [article]

Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang
<span title="2020-10-23">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we design Query-Directed Sparse attention that induces IR-axiomatic structures in transformer self-attention.  ...  The computing cost of transformer self-attention often necessitates breaking long documents to fit in pretrained models in document ranking tasks.  ...  passage ranking scores, using the score of the first passage (BERT-FirstP), the best passage (BERT-MaxP) (also studied in Yan et al. (2020) ), or the sum of all passage scores (BERT-SumP).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.12683v1">arXiv:2010.12683v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rgjxvvidpjbzdlp23ir26l43ii">fatcat:rgjxvvidpjbzdlp23ir26l43ii</a> </span>
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Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints [article]

Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
<span title="2021-07-05">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Adaptive Computation (AC) has been shown to be effective in improving the efficiency of Open-Domain Question Answering (ODQA) systems.  ...  We propose Adaptive Passage Encoder, an AC method that can be applied to an existing ODQA model and can be trained efficiently on a single GPU.  ...  We would also like to thank Gautier Izacard and Edouard Grave for their help with using FiD.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.02102v1">arXiv:2107.02102v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5cdegelsdvdg3ogwhqhe5bmpdy">fatcat:5cdegelsdvdg3ogwhqhe5bmpdy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210710103557/https://arxiv.org/pdf/2107.02102v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/72/4572ce690e5eff7d7d38c6f3f67561d0b263b34f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2107.02102v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Challenges in information retrieval and language modeling

James Allan, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard Hovy, Wessel Kraaij, John Lafferty, Victor Lavrenko, David Lewis, Liz Liddy, R. Manmatha, Jay Aslam (+24 others)
<span title="2003-04-01">2003</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/emlsu7gwyfalfms3c35odq5qlm" style="color: black;">SIGIR Forum</a> </i> &nbsp;
more labeled data • Greater variety of data sources • Improved formal models Contextual retrieval and global information access were identified as particularly important long-term challenges.  ...  retrieval multimedia retrieval information extraction, as well as testbed requirements for future work.  ...  demands for labeling.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945546.945549">doi:10.1145/945546.945549</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h6xsh2uzwzdfdi4g4ypw6ximrq">fatcat:h6xsh2uzwzdfdi4g4ypw6ximrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809160806/https://web.cs.dal.ca/~shepherd/courses/csci4141/challenges_ir.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/11/1c11a29083b6d1e8c18e817e9a80d7cf2081ed9b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/945546.945549"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> acm.org </button> </a>

Coarse-to-Fine Memory Matching for Joint Retrieval and Classification [article]

Allen Schmaltz, Andrew Beam
<span title="2020-11-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We present a novel end-to-end language model for joint retrieval and classification, unifying the strengths of bi- and cross- encoders into a single language model via a coarse-to-fine memory matching  ...  We further demonstrate how coupled retrieval and classification can be leveraged to identify low confidence instances, and we extend exemplar auditing to this setting for analyzing and constraining the  ...  Detecting Local Insights from Global Labels: Supervised & Zero-Shot Sequence Labeling via a Convolutional Decom- position. arXiv. Allen Schmaltz and Andrew Beam. 2020.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.02287v1">arXiv:2012.02287v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yhmhqlbisvfnvebcvzcqanc3vu">fatcat:yhmhqlbisvfnvebcvzcqanc3vu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201208101937/https://arxiv.org/pdf/2012.02287v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/26/24/26244d73e30a1ff78ec5e3c29c42a560bb8192bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.02287v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Local Self-Attention over Long Text for Efficient Document Retrieval [article]

Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
<span title="2020-05-11">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we propose a local self-attention which considers a moving window over the document terms and for each term attends only to other terms in the same window.  ...  When the items being retrieved are documents, the time and memory cost of employing Transformers over a full sequence of document terms can be prohibitive.  ...  In other words, they chunk the documents and produce scores per passages and combine the scores for document retrieval.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.04908v1">arXiv:2005.04908v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uijprqur7ngdroceokfi25x4lq">fatcat:uijprqur7ngdroceokfi25x4lq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200528074605/https://arxiv.org/pdf/2005.04908v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/de/02/de028eebe67b2bc74c471c9429914242fd5ed346.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.04908v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>
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