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Hits 1 – 18 of 18

1	A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition ...
	The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Ji, Donghong; Li, Fei. - : Underline Science Inc., 2021
	BASE
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2	HiTrans: A Transformer-Based Context- and Speaker-Sensitive Model for Emotion Detection in Conversations ...
	The 28th International Conference on Computational Linguistics 2020; Ji, Donghong; Li, Jingye. - : Underline Science Inc., 2020
	BASE
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3	Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions ...
	The 28th International Conference on Computational Linguistics 2020; Fei, Hao; Ji, Donghong; Li, Jingye. - : Underline Science Inc., 2020
	Abstract: In this paper, we target improving the joint dialogue act recognition (DAR) and sentiment classification (SC) tasks by fully modeling the local contexts of utterances. First, we employ the dynamic convolution network (DCN) as the utterance encoder to capture the dialogue contexts. Further, we propose a novel context-aware dynamic convolution network (CDCN) to better leverage the local contexts when dynamically generating kernels. We extended our frameworks into bi-channel version (i.e., BDCN and BCDCN) under multi-task learning to achieve the joint DAR and SC. Two channels can learn their own feature representations for DAR and SC, respectively, but with latent interaction. Besides, we suggest enhancing the tasks by employing the DiaBERT language model. Our frameworks1 obtain state-of-the-art performances against all baselines on two benchmark datasets, demonstrating the importance of modeling the local contexts. ...
	Keyword: Computer and Information Science; Natural Language Processing; Neural Network
	URL: https://dx.doi.org/10.48448/p5w2-cn16 https://underline.io/lecture/6379-modeling-local-contexts-for-joint-dialogue-act-recognition-and-sentiment-classification-with-bi-channel-dynamic-convolutions
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4	End to End Chinese Lexical Fusion Recognition with Sememe Knowledge ...
	Liu, Yijiang; Zhang, Meishan; Ji, Donghong. - : arXiv, 2020
	BASE
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5	Nominal Compound Chain Extraction: A New Task for Semantic-enriched Lexical Chain ...
	Li, Bobo; Fei, Hao; Ren, Yafeng. - : arXiv, 2020
	BASE
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6	Cross-lingual Semantic Role Labeling with Model Transfer ...
	Fei, Hao; Zhang, Meishan; Li, Fei. - : arXiv, 2020
	BASE
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7	Retrofitting Structure-aware Transformer Language Model for End Tasks ...
	Fei, Hao; Ren, Yafeng; Ji, Donghong. - : arXiv, 2020
	BASE
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8	Chinese semantic parsing based on feature structure with recursive directed graph [<Journal>]
	Chen, Bo [Verfasser]; Lü, Chen [Verfasser]; Wei, Xiaomei [Verfasser].
	DNB Subject Category Language
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9	The CHEMDNER corpus of chemicals and drugs and its annotation principles
	Krallinger, Martin; Rabal, Obdulia; Leitner, Florian. - : BioMed Central, 2015
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10	Chinese Lexical Semantics : 13th Workshop, CLSW 2012, Wuhan, China, July 6-8, 2012, Revised Selected Papers
	Ji, Donghong; Xiao, Guozheng. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013
	UB Frankfurt Linguistik
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11	Chinese Lexical Semantics : 13th Workshop, CLSW 2012, Wuhan, China, July 6-8, 2012, Revised Selected Papers
	Ji, Donghong [Herausgeber]; Xiao, Guozheng [Herausgeber]. - Berlin, Heidelberg : Springer Berlin Heidelberg, 2013
	DNB Subject Category Language
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12	Chinese lexical semantics : 13th workshop ; revised selected papers
	Ji, Donghong [Herausgeber]; Xiao, Guozheng [Herausgeber]. - 2013
	DNB Subject Category Language
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13	Chinese lexical semantics : 13th workshop, CLSW 2012 ; Wuhan, China, July 6 - 8, 2012 ; revised selected papers
	Ji, Donghong (Hrsg.); Xiao, Guozheng (Hrsg.). - Berlin [u.a.] : Springer, 2013
	UB Frankfurt Linguistik
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14	Chinese document re-ranking based on automatically acquired term resource
	Ji, Donghong; Zhao, Shiju; Xiao, Guozheng
	In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 43 (2009) 4, 385-406
	BLLDB
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15	Word sense learning based on feature selection and MDL principle
	Ji, Donghong; He, Yanxiang; Xiao, Guozheng
	In: Language resources and evaluation. - Dordrecht [u.a.] : Springer 40 (2006) 3-4, 375-393
	BLLDB
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16	Abstract
	Ji Donghong; Gong Junping
	In: http://ucrel.lancs.ac.uk/acl/C/C98/C98-1095.pdf
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17	Combining a Chinese Thesaurus with a Chinese Dictionary
	Ji Donghong Kent; Gong Junping
	In: http://acl.ldc.upenn.edu/P/P98/P98-1098.pdf
	BASE
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18	Information Retrieval Using Label Propagation Based Ranking
	Yang Lingpeng; Ji Donghong; Nie Yu
	In: http://www.mt-archive.info/NTCIR-2007-Yang.pdf
	BASE
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