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Leveraging Distributed Human Computation and Consensus Partition for Entity Coreference [chapter]

Saisai Gong, Wei Hu, Yuzhong Qu
2014 Lecture Notes in Computer Science  
In this paper, we propose a new approach called coCoref, which leverages distributed human computation and consensus partition for entity coreference.  ...  Consensus partition is used to aggregate all distributed user-judged coreference results and resolve their disagreements.  ...  In this paper, we proposed coCoref to leverage distributed human computation and consensus partition for entity coreference.  ... 
doi:10.1007/978-3-319-07443-6_28 fatcat:jhvt4upumjgfncprf2uhxqo2uu

CUNY BLENDER TAC-KBP2012 Entity Linking System and Slot Filling Validation System

Suzanne Tamang, Zheng Chen, Heng Ji
2012 Text Analysis Conference  
This year the CUNY-BLENDER team participated in the English Entity Linking and Slot Filling Validation tracks. for entity linking, we apply two new techniques, collaborative clustering and query reformulation  ...  In this paper, we describe our approaches to each task in more detail, assess the impact of out techniques, and presents new directions for future work.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation here on.  ... 
dblp:conf/tac/TamangCJ12 fatcat:32pocq4bmng5fog5cflub2txqu

CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes

Sameer Pradhan, Lance A. Ramshaw, Mitchell P. Marcus, Martha Palmer, Ralph M. Weischedel, Nianwen Xue
2011 Conference on Computational Natural Language Learning  
) that could support joint models, should help to energize ongoing research in the task of entity and event coreference.  ...  Having a standard test set and evaluation parameters, all based on a new resource that provides multiple integrated annotation layers (parses, semantic roles, word senses, named entities and coreference  ...  If K is the key entity containing mention M, and R is the response entity containing mention M, then recall for the mention M is computed as |K∩R| |K| and precision for the same is is computed as |K∩R|  ... 
dblp:conf/conll/PradhanRMPWX11 fatcat:s72f6bnkurhanmwj7ay4mwy3gq

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models [article]

Bryan A. Plummer, Liwei Wang, Chris M. Cervantes, Juan C. Caicedo, Julia Hockenmaier, Svetlana Lazebnik
2016 arXiv   pre-print
This paper presents Flickr30k Entities, which augments the 158k captions from Flickr30k with 244k coreference chains, linking mentions of the same entities across different captions for the same image,  ...  They enable us to define a new benchmark for localization of textual entity mentions in an image.  ...  We thank the NVIDIA Corporation for the generous donation of the GPUs used for our experiments.  ... 
arXiv:1505.04870v4 fatcat:2vxfbdxccrchlhsyouqdtcfscu

Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction

J. Eisenstein, R. Barzilay, R. Davis
2008 The Journal of Artificial Intelligence Research  
refer to the same semantic entity.  ...  We present conditional modality fusion, a conditional hidden-variable model that learns to predict which gestures are salient for coreference resolution, the task of determining whether two noun phrases  ...  Acknowledgments The authors acknowledge the editor and anonymous reviewers for their helpful comments. We also thank our colleagues Aaron Adler, S.  ... 
doi:10.1613/jair.2450 fatcat:qaula6fcjbfxrp3bwiuuo6n6py

Text Semantic Annotation: A Distributed Methodology Based on Community Coherence

Christos Makris, Georgios Pispirigos, Michael Angelos Simos
2020 Algorithms  
In this paper we introduce a novel distributed supervised knowledge-based methodology employing community detection algorithms for text annotation with Wikipedia Entities, establishing the unprecedented  ...  for addressing the inherent natural language polysemy and homonymy challenges.  ...  Innovation Strategies for Smart Specialization-RIS3 in Information and Communication Technologies" (project: 5038701 entitled "Reviews Manager: Hotel Reviews Intelligent Impact Assessment Platform").  ... 
doi:10.3390/a13070160 fatcat:znccdtd5wreprdhjlus7tyso3m

Graph Algebraic Combinatory Categorial Grammar

Sebastian Beschke, Wolfgang Menzel
2018 Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics  
This paper describes CCG/AMR, a novel grammar for semantic parsing of Abstract Meaning Representations.  ...  We provide an algorithm that induces a CCG/AMR from a corpus and show that it creates a compact lexicon with low ambiguity and achieves a robust coverage of 78% of the examined sentences under ideal conditions  ...  Acknowledgements We thank Alexander Koller and his group, Christine and Arne Köhn, and the anonymous reviewers for their helpful comments. Part of this work was supported by the DFG (IGK 1247).  ... 
doi:10.18653/v1/s18-2006 dblp:conf/starsem/BeschkeM18 fatcat:k2tl6eo4ovccbl2ghivwzml3ve

Message from the general chair

Benjamin C. Lee
2015 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)  
Joint Learning for Coreference Resolution with Markov Logic Resolving "This-issue" Anaphora Varada Kolhatkar and Graeme Hirst Saturday 12:00pm-12:30pm -202 A (ICC) We annotate and resolve a particular  ...  To maximize the utility of the injected knowledge, we deploy a learning-based multi-sieve approach and develop novel entity-based features.  ...  In this paper we propose a novel discriminative hierarchical model that recursively partitions entities into trees of latent sub-entities.  ... 
doi:10.1109/ispass.2015.7095776 dblp:conf/ispass/Lee15 fatcat:ehbed6nl6barfgs6pzwcvwxria

Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

S. Velupillai, D. Mowery, B. R. South, M. Kvist, H. Dalianis
2015 IMIA Yearbook of Medical Informatics  
extracting meaning (morphological, syntactic, and semantic subtasks), and 3) leveraging NLP for clinical utility (NLP applications and infrastructure for clinical use cases).  ...  Performance of NLP semantic analysis is, in many cases, close to that of agreement between humans.  ...  be more easily distributed for research purposes.  ... 
doi:10.15265/iy-2015-009 pmid:26293867 pmcid:PMC4587060 fatcat:4cqwat2q2jhkphvrfytfowmyge

Modeling pronoun resolution in the brain [article]

Jixing Li, Wen-Ming Luh, Liina Pylkkanen, Yiming Yang, John Hale
2020 bioRxiv   pre-print
These models each formalizes a different strand of explanation for pronoun resolution that has figured in the cognitive and linguistic literature.  ...  Our ability to ascertain which person a pronoun refers to is a central part of human language understanding.  ...  We thank Maria Julieta Guzman and Samantha Wray for segmenting the MEG audio stimuli. We thank Shaonan Wang for helpful discussion with the neural coreference model.  ... 
doi:10.1101/2020.11.24.396598 fatcat:li6smeqjkjbyzdpjenwxe5s24q

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review [article]

Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
2022 arXiv   pre-print
With the gradually complex human-computer interaction requirements (e.g., multimodal inputs, time sensitivity), it is difficult for traditional text-based dialogue system to meet the demands for more vivid  ...  We conclude this paper by putting forward some open issues and promising research trends for VAD, e.g., the cognitive mechanisms of human-machine dialogue under cross-modal dialogue context, and knowledge-enhanced  ...  ACKNOWLEDGMENTS This work was partially supported by the National Science Fund for Distinguished Young Scholars (62025205), and the National Natural Science Foundation of China (No. 62032020, 61960206008  ... 
arXiv:2207.00782v1 fatcat:a57laj75xfa43gg4hjvxdh4c4i

INFOTABS: Inference on Tables as Semi-structured Data [article]

Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar
2020 arXiv   pre-print
We argue that such data can prove as a testing ground for understanding how we reason about information.  ...  Our analysis shows that the semi-structured, multi-domain and heterogeneous nature of the premises admits complex, multi-faceted reasoning.  ...  Acknowledgements We thank members of the Utah NLP group for their valuable insights and suggestions at various stages of the project; and reviewers their helpful comments.  ... 
arXiv:2005.06117v1 fatcat:p763rr45kbdurh3xtxjygm5rbu

Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases [article]

Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian Suchanek
2021 arXiv   pre-print
It covers models and methods for discovering and canonicalizing entities and their semantic types and organizing them into clean taxonomies.  ...  To support the long-term life-cycle and the quality assurance of machine knowledge, the article presents methods for constructing open schemas and for knowledge curation.  ...  We are most grateful for the thoughtful and extremely helpful comments by Soumen Chakrabarti, AnHai Doan and two other (anonymous) reviewers.  ... 
arXiv:2009.11564v2 fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy

(Almost) All of Entity Resolution [article]

Olivier Binette, Rebecca C. Steorts
2022 arXiv   pre-print
We review clustering approaches to entity resolution, semi- and fully supervised methods, and canonicalization, which are being used throughout industry and academia in applications such as human rights  ...  Before such questions can be answered, databases must be cleaned and integrated in a systematic and accurate way, commonly known as record linkage, de-duplication, or entity resolution.  ...  C., and Debbabi, M. “Secure Two-Party Differentially Private Data Release for Vertically Partitioned Data.” IEEE Transactions on Dependable and Secure Computing, 11(1):59–71 (2014).  ... 
arXiv:2008.04443v3 fatcat:6tunuro7afhmbpambcn2bk32ly

Towards Quantifying the Distance between Opinions [article]

Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
2020 arXiv   pre-print
entities-of-interest.  ...  Thus, we propose a new distance measure for capturing the similarity between opinions that leverages the nuanced observation -- similar opinions express similar sentiment polarity on specific relevant  ...  We use Stanford CoreNLP (Manning et al. 2014 ) for part-of-speech (POS) tagging, coreference resolution and dependency parsing.  ... 
arXiv:2001.09879v1 fatcat:xccnwltg3newhbevz3bnp63uxy
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