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SimLex-999: Evaluating Semantic Models With (Genuine) Similarity Estimation
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In: http://ie.technion.ac.il/~roiri/papers/simLex-arxiv.pdf
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82 |
Multi-Modal Models for Concrete and Abstract Concept Meaning
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In: http://ie.technion.ac.il/~roiri/papers/TACL_camera_ready.pdf
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83 |
Metaphor Identification Using Verb and Noun Clustering
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In: http://aclweb.org/anthology-new/C/C10/C10-1113.pdf
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84 |
A Tensor-based Factorization Model of Semantic Compositionality
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In: http://aclweb.org/anthology/N/N13/N13-1134.pdf
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85 |
Metaphor Identification Using Verb and Noun Clustering
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In: http://www.cl.cam.ac.uk/%7Ees407/papers/Coling10.pdf
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86 |
Multi-Modal Models for Concrete and Abstract Concept Meaning
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In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/viewFile/393/52/
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87 |
Author manuscript, published in "The Annual Meeting of the Cognitive Science Society, United States (2010)" Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora
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In: http://halshs.archives-ouvertes.fr/docs/00/50/71/03/PDF/cogsci-2010.pdf
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88 |
Native Language Identification Using Large, Longitudinal Data
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1068_Paper.pdf
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89 |
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents
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In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/472/116/
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90 |
Probabilistic Distributional Semantics with Latent Variable Models
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In: http://www.aclweb.org/anthology/J/J14/J14-3005.pdf
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91 |
A Computational Model of Logical Metonymy
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In: http://www.cl.cam.ac.uk/%7Ees407/papers/TSLP-LogMet.pdf
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92 |
Automatic Linguistic Annotation of Large Scale L2 Databases: The EF-Cambridge Open Language Database (EFCamDat)
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In: http://www.lingref.com/cpp/slrf/2012/paper3100.pdf
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93 |
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
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In: http://www.cl.cam.ac.uk/~sc609/pubs/acl14douwe.pdf
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94 |
Using Argumentative Zones for Extractive Summarization of Scientific Articles
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In: http://aclweb.org/anthology-new/C/C12/C12-1041.pdf
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Abstract:
Information structure, i.e the way speakers construct sentences to present new information in the context of old, can capture rich linguistic information about the discourse structure of scientific documents. Information structure has been found useful for important Natural Language Processing (NLP) tasks, such as information retrieval and extraction. Since scientific articles typically follow a certain discourse structure describing the prior work, problem being solved, methods used, and so forth, it could also be useful for summarization of these articles. In this work we focus on a scheme of information structure called Argumentative Zoning (AZ), and investigate whether its categories could support extractive text summarization in a scientific domain. We develop a summarization system that uses AZ categories (i) as features and (ii) in the final sentence selection process. We evaluate the system directly as well as using task-based evaluation. The results show that AZ can support both full document and customized summarization. We report a statistically significant improvement in summarization performance
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Keyword:
argumentative zones; discourse; document summarization; information access. KEYWORDS IN MANDARIN; information structure; summarization
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.927 http://aclweb.org/anthology-new/C/C12/C12-1041.pdf
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95 |
Exploring variation across biomedical subdomains
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In: http://www.cl.cam.ac.uk/users/alk23/coling-2010-domains.pdf
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96 |
Investigating the cross-linguistic potential of VerbNet-style classification
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In: http://www.cl.cam.ac.uk/users/alk23/coling-2010-french.pdf
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97 |
Investigating the cross-linguistic potential of VerbNet-style classification
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In: http://aclweb.org/anthology-new/C/C10/C10-1119.pdf
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98 |
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents
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In: http://www.cl.cam.ac.uk/%7Err439/papers/283_Paper.pdf
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99 |
Evaluating Learning Language Representations
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In: http://www.cl.cam.ac.uk/%7Ealk23/paper_24.pdf
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100 |
Large Scale Analysis of Verb Subcategorization differences between Child Directed Speech and Adult Speech
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In: http://www.cl.cam.ac.uk/users/alk23/ButteryKorhonen.pdf
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