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Identifying Useful Passages in Documents Based on Annotation Patterns [chapter]

Frank Shipman, Morgan Price, Catherine C. Marshall, Gene Golovchinsky
2003 Lecture Notes in Computer Science  
Based on this study we have designed a mark parser that analyzes freeform digital ink to identify such high-value annotations.  ...  If we understand the relationship between the types of marks on a passage and the passage's ultimate utility in a task, then we can design e-book software to facilitate access to the most important annotated  ...  Based on these patterns, we have designed and developed a mechanism to identify, categorize, group, and rank annotations.  ... 
doi:10.1007/978-3-540-45175-4_11 fatcat:5vsf7quux5bmvk6xrr2h2qpcha

Question-answering by predictive annotation

John Prager, Eric Brown, Anni Coden, Dragomir Radev
2000 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00  
We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly and indexes them.  ...  large document collections.  ...  Both the base form and the annotation are recorded at the same offset in the document.  ... 
doi:10.1145/345508.345574 dblp:conf/sigir/PragerBCR00 fatcat:ar4gxpsigfel7hjhhdm25op2de

GAVIN

Anam Ahmad Khan, Joshua Newn, Ryan M. Kelly, Namrata Srivastava, James Bailey, Eduardo Velloso
2021 ACM Transactions on Computer-Human Interaction  
In this article, we introduce GAVIN, a gaze-assisted voice note-taking application, which enables readers to seamlessly take voice notes on digital documents by implicitly anchoring them to text passages  ...  Using these findings, we propose a method which leverages eye-tracking and machine learning techniques to annotate voice notes with reference text passages.  ...  The annotation of documents based on readers' own notes still relies heavily on the reader manually highlighting the text and linking their typed notes to it.  ... 
doi:10.1145/3453988 fatcat:vj42cdtlrndbfoccnu42xo5hhe

Answering Multiple Questions on a Topic From Heterogeneous Resources

Boris Katz, Matthew W. Bilotti, Sue Felshin, Aaron Fernandes, Wesley Hildebrandt, Roni Katzir, Jimmy J. Lin, Daniel Loreto, Gregory Marton, Federico Mora, Özlem Uzuner
2004 Text Retrieval Conference  
1 "target" in the Guidelines' terms. See Section 2. 2 "other" in the Guidelines' terms.  ...  Keywords from the definition are used in a Lucene query to retrieve documents, and to score sentences based on keyword overlap with the dictionary definition.  ...  This implies scoring based on document query backoff, because sets of retrieved document chunks for each expanded query are appended to one another.  ... 
dblp:conf/trec/KatzBFFHKLLMMU04 fatcat:6o74z4ry6vd3bekp76bo2d372q

Argument Discovery and Extraction with the Argument Workbench

Adam Wyner, Wim Peters, David Price
2015 Proceedings of the 2nd Workshop on Argumentation Mining  
The argument engineer uses the extracts for the construction of arguments in DebateGraph.  ...  The tool supports an argument engineer to reconstruct arguments from textual sources, using information processed at one stage as input to a subsequent stage of analysis, and then building an argument  ...  In addition to TermRaider, we have used a tool to model topics, identifying clusters of terminology that are taken to statistically "cohere" around a topic; for this, we have used a tool based on Latent  ... 
doi:10.3115/v1/w15-0510 dblp:conf/naacl/WynerPP15 fatcat:dmbpegzysve6fo6feyq7g6fc5i

Mining Fine-grained Argument Elements

Adam Z. Wyner
2014 Workshop on Frontiers and Connections between Argumentation Theory and Natural Language Processing  
The workbench takes a semi-automated, interactive approach searching in a corpus for fine-grained argument elements, which are concepts and conceptual patterns in expressions that are associated with argumentation  ...  The paper discusses the architecture and development of an Argument Workbench, which supports an analyst in reconstructing arguments from across textual sources.  ...  Searching in the corpus for single or complex patterns of annotations returns all those strings that are annotated with pattern along with their context and source document.  ... 
dblp:conf/argnlp/Wyner14 fatcat:bnuyaaditfeotfwynqhmjc76h4

Dublin City University at QA@CLEF 2008 [chapter]

Sisay Fissaha Adafre, Josef van Genabith
2009 Lecture Notes in Computer Science  
We describe our participation in Multilingual Question Answering at CLEF 2008 using German and English as our source and target languages respectively.  ...  The system was built using UIMA (Unstructured Information Management Architechture) as underlying framework.  ...  Acknowledgments The research reported in this paper was supported by the Science Foundation Ireland under grant number 04/IN/I527.  ... 
doi:10.1007/978-3-642-04447-2_41 fatcat:del5ub26prea7k5zc6xjgw2rki

Bootstrap Pattern Learning for Open-Domain CLQA

Hideki Shima, Teruko Mitamura
2010 NTCIR Conference on Evaluation of Information Access Technologies  
The preliminary evaluation result (measured by nugget F3 score) shows that the proposed pattern learning approach outperformed two baselines, a supervised learning approach used in NTCIR-7 ACLIA and a  ...  We describe Javelin, a Cross-lingual Question Answering system which participated in the NTCIR-8 ACLIA evaluation and which is designed to work on any type of question, including factoid and complex questions  ...  • Pattern based approaches [8][20][22][23][28] • Sentence level similarity approach (between question and answer-bearing-passage) based on: o Syntactic structures [3][19][24] o Semantic structures  ... 
dblp:conf/ntcir/ShimaM10 fatcat:rbapzevsdzfmjjey2vtmyzvp3m

Multi-Strategy Question Answering System for NTCIR-7 C-C Task

Han Ren, Donghong Ji, Yanxiang He, Chong Teng, Jing Wan
2008 NTCIR Conference on Evaluation of Information Access Technologies  
In NTCIR-7, ACLIA task focus on more complex questions than factoid ones.  ...  and re-rank documents that may contain correct answers; after that, we deal retrieved results with different strategies including heuristic rules, pattern matching and web knowledge bases; finally, nuggets  ...  By analyzing the corpus of ACLIA task in NTCIR-7 we find that, most documents are composed of short passages; some passages have only one sentence, and some passages even have several words, not a sentence  ... 
dblp:conf/ntcir/RenJHTW08 fatcat:rx7iwiyjivgmrnf775bc6yajju

A Framework for BioCuration Workflows (part II)

Martin Krallinger
2009 Nature Precedings  
ARTICLE IDENTIFICATION:TRIAGE TASK General aspects • Usually using keyword/pattern searches against PubMed • Depends on annotation type/criteria, organism & literature volume Bottle neck/problems • Limited  ...  Text Mining • Use for automatically tagging gene and protein mentions • Gene dictionary extension, filtering and look-up approaches • Disambiguation based on context of mention of bio-entity •  ... 
doi:10.1038/npre.2009.3126.1 fatcat:vd4apgughvhxdocea2agziolcu

Question Answering with LCC's CHAUCER-2 at TREC 2007

Andrew Hickl, Kirk Roberts, Bryan Rink, Jeremy Bensley, Tobias Jungen, Ying Shi, John Williams
2007 Text Retrieval Conference  
with a new indexing and retrieval engine capable of retrieving documents or passages based on the distribution of named entities or semantic dependencies, we were able to dramatically enhance CHAUCER-2  ...  By replacing the traditional keyword-based retrieval system used in (?)  ...  This material is based upon work funded in whole or in part by the U.S.  ... 
dblp:conf/trec/HicklRRBJSW07 fatcat:af7orhm2urfl3lzc3hiwuyuwoq

Questioning Answering By Pattern Matching, Web-Proofing, Semantic Form Proofing

Min Wu, Xiaoyu Zheng, Michelle Duan, Ting Liu, Tomek Strzalkowski
2003 Text Retrieval Conference  
It is developed on the following methods: pattern matching over annotated text, web-proofing and semantic form proofing.  ...  These methods are currently used in other QA systems, however, we revised them to work together in our QA system.  ...  Acknowledgements Thanks to all the other students in our CSI660(Spring 2003) class. Especially to Zhenyu Dai who help us set up Inquery system.  ... 
dblp:conf/trec/WuZDLS03 fatcat:ot5xnc4txrej5bzpfrvwnymqca

Construction of a Corpus for the Evaluation of Textual Case-based Reasoning Architectures

Andreas Korger, Joachim Baumeister
2020 Lernen, Wissen, Daten, Analysen  
We report on the construction of an open corpus of regulatory documents in the domain of nuclear safety regulations.  ...  In this paper, an initial case-based representation of regulatory documents is introduced.  ...  Acknowledgments We wish to thank the International Atomic Energy Agency (IAEA) for their support and the consent to use their publications as a base for this work [5].  ... 
dblp:conf/lwa/KorgerB20 fatcat:ihhoocluvnf4vfsyi5xqyu46de

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID

Sun Kim, Rezarta Islamaj Doğan, Andrew Chatr-Aryamontri, Christie S. Chang, Rose Oughtred, Jennifer Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos (+23 others)
2016 Database: The Journal of Biological Databases and Curation  
Aydın et al. (33) developed a system for identifying evidence passages for protein-protein interactions in full-text articles based on information retrieval techniques.  ...  Eight teams created the modules that were cooperatively used to identify and annotate molecular interaction information from full-text documents.  ... 
doi:10.1093/database/baw121 pmid:27589962 pmcid:PMC5009341 fatcat:bqe4o77fizadhf5e3xese3i23y

Integrating Gaze and Speech for Enabling Implicit Interactions

Anam Ahmad Khan, Joshua Newn, James Bailey, Eduardo Velloso
2022 CHI Conference on Human Factors in Computing Systems  
Using a Logistic Regression classifer, we demonstrate that our proposed multimodal approach maps voice notes with accurate text passages with an average F 1 -Score of 0.90.  ...  Gaze and speech are rich contextual sources of information that, when combined, can result in efective and rich multimodal interactions.  ...  ACKNOWLEDGMENTS We wish to thank Bayu Trisedya for the useful discussion on this work.  ... 
doi:10.1145/3491102.3502134 fatcat:clh7yo4rvvfrpdgas5zosi2ez4
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