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1
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding ...
Qin, Libo; Chen, Qiguang; Xie, Tianbao. - : arXiv, 2022
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2
Reliability Testing for Natural Language Processing Systems ...
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3
TraVLR: Now You See It, Now You Don't! Evaluating Cross-Modal Transfer of Visio-Linguistic Reasoning ...
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4
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding ...
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5
Domain Divergences: a Survey and Empirical Analysis ...
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6
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations ...
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7
Exploring Question-Specific Rewards for Generating Deep Questions ...
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8
Retrieving Skills from Job Description: A Language Model Based Extreme Multi-label Classification Framework ...
Abstract: We introduce a deep learning model to learn the set of enumerated job skills associated with a job description. In our analysis of a large-scale government job portal mycareersfuture.sg, we observe that as much as 65% of job descriptions miss describing a significant number of relevant skills. Our model addresses this task from the perspective of an extreme multi-label classification (XMLC) problem, where descriptions are the evidence for the binary relevance of thousands of individual skills. Building upon the current state-of-the-art language modeling approaches such as BERT, we show our XMLC method improves on an existing baseline solution by over 9% and 7% absolute improvements in terms of recall and normalized discounted cumulative gain. We further show that our approach effectively addresses the missing skills problem, and helps in recovering relevant skills that were missed out in the job postings by taking into account the structured semantic representation of skills and their co-occurrences through ...
Keyword: Computer and Information Science; Natural Language Processing; Neural Network
URL: https://underline.io/lecture/6354-retrieving-skills-from-job-description-a-language-model-based-extreme-multi-label-classification-framework
https://dx.doi.org/10.48448/h2xn-0365
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9
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages ...
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10
Overview and Results: CL-SciSumm Shared Task 2019 ...
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11
The CL-SciSumm Shared Task 2018: Results and Key Insights ...
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12
Temporal orientation of tweets for predicting income of users
In: Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 , Kamila, Sabyasachi, Kaur, Mandeep, Saha, Sriparna and Ekbal, Asif (2017) Temporal orientation of tweets for predicting income of users. In: 55th Annual Meeting of the Association for Computational Linguistics, 30 Jul - 4 Aug 2017, Vancouver, Canada. (2017)
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13
Dataset for "Towards Automated Related Work Summarization" ...
Hoang, C.D.V.; Kan, Min-Yen. - : National University of Singapore, 2017
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14
A PDTB-styled end-to-end discourse parser
In: Natural language engineering. - Cambridge : Cambridge University Press 20 (2014) 2, 151-184
OLC Linguistik
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15
ACL Anthology Reference Corpus
Kan, Min-Yen; Bird, Steven. - : Linguistic Data Consortium, 2009. : https://www.ldc.upenn.edu, 2009
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16
ACL Anthology Reference Corpus ...
Kan, Min-Yen; Bird, Steven. - : Linguistic Data Consortium, 2009
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17
LyricAlly: automatic synchronization of textual lyrics to acoustic music signals
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 16 (2008) 2, 338-349
BLLDB
OLC Linguistik
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18
The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics
Bird, Steven; Dale, Robert; Dorr, Bonnie J. - : Paris : European Language Resources Association (ELRA), 2008
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19
A Public Reference Implementation of the RAP Anaphora Resolution Algorithm ...
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20
Combining Visual Layout and Lexical Cohesion Features for Text Segmentation
Kan, Min-Yen. - : Department of Computer Science, Columbia University, 2001
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