Deep Chinese Word Sense Disambiguation Method Based on Sequence to Sequence

Shancheng, Tang; Ma, Fuying; Chen, Xiongxiong; Zhang, Puyue

doi:10.1109/snsp.2018.00099

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Rajat Pandit proposed dependency tree based lesk variant to perform WSD for low resource language like Bengali [18]. Shancheng Tang proposed a solution using deep Chinese word sense disambiguation method which is based on sequence to sequence that improved performance by 11.48% [19]. Evaluation of different WSD algorithm is a major sub problem in the NLP domain.…”

Section: Related Workmentioning

confidence: 99%

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Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

Tripathi¹,

Mukherjee²,

Hendre³

et al. 2021

IJCDS

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Hindi is the widely used spoken language in the Indian subcontinent, and is used by more than 260 million Indians citizens. Indian governments has many digital initiatives to serve Indian citizen better, hence Hindi language becomes one of the important languages to serve Indian citizen. The Government initiatives are like smart city, Hospital Services, Common Service Centers, Digital Payment Ecosystem, Pensioners Scheme, Digital Locker and many more. These all initiative are served using mobile and web based applications, which citizens can access easily instead of visiting various government departments. To serve the large Hindi speaking population, it is necessary to handle the ambiguous words which have multiple connotations in any natural language processing task. In this paper, word sense disambiguation for Hindi language is proposed. Proposed method makes use of Lesk algorithm to disambiguate the Hindi words. Novel scoring method is used to assign a sense score to each token of the Hindi sentence. The sense score is calculated based on the gloss, hypernym, hyponym and synonym of the combinations of different sense of tokens. Hindi WordNet database created by CFILT, IIT Bombay is used in the proposed system. The proposed algorithm takes a natural language (NL) sentence in Hindi (Devanagari script) and process the sentence according to the score based approach modeled on the basic Lesk algorithm with the help of Hindi WordNet designed by CFILT IIT Bombay. The solution provided in this paper can be used vividly in various web based applications like Query-Response Systems, Question-Answer Systems, Sentiment analysis, Recommendation systems etc.

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Section: Related Workmentioning

confidence: 99%

“…The proposed algorithm uses score based approach. Shancheng Tang et al [19] Deep Chinese Word Sense Disambiguation Method [19] Chinese WSD method has been used in this system. The Deep learning method has been used for feature extraction of Chinese text.…”

Section: Authors Wsd Based Systems Technique(s) Used In Similar Type ...mentioning

confidence: 99%

Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

Tripathi¹,

Mukherjee²,

Hendre³

et al. 2021

IJCDS

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“…Tang Shancheng et al [19] developed a word sense disambiguation system that works on all types of ambiguities. Here, three methods viz.…”

Section: Foreign Languagesmentioning

confidence: 99%

A Review on Word Sense Disambiguation Emphasizing the Data Resources on Wordnet and Corpus

Singh¹

2021

ITII

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Word Sense Disambiguation is a disambiguating technique of finding the most relevant sense of an ambiguous word with the aid of its surrounding words. In this paper, we pointed out the various Word Sense Disambiguation approaches along with its different techniques, state of the art, comparative studies of the existing system highlighting its benefits and limitations across all the widely well known Indian and foreign languages. In this paper, we converse our study by emphasizing to all the studies that uses WordNet, IndoWordNet or corpus as the main data resources of the referred languages.

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Deep Chinese Word Sense Disambiguation Method Based on Sequence to Sequence

Cited by 2 publications

References 7 publications

Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm

A Review on Word Sense Disambiguation Emphasizing the Data Resources on Wordnet and Corpus

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