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Semi-automatic WordNet Linking using Word Embeddings ...
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Indian Language Wordnets and their Linkages with Princeton WordNet ...
Abstract: Wordnets are rich lexico-semantic resources. Linked wordnets are extensions of wordnets, which link similar concepts in wordnets of different languages. Such resources are extremely useful in many Natural Language Processing (NLP) applications, primarily those based on knowledge-based approaches. In such approaches, these resources are considered as gold standard/oracle. Thus, it is crucial that these resources hold correct information. Thereby, they are created by human experts. However, human experts in multiple languages are hard to come by. Thus, the community would benefit from sharing of such manually created resources. In this paper, we release mappings of 18 Indian language wordnets linked with Princeton WordNet. We believe that availability of such resources will have a direct impact on the progress in NLP for these languages. ... : Published at LREC 2018 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2201.02977
https://dx.doi.org/10.48550/arxiv.2201.02977
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3
Tapping BERT for Preposition Sense Disambiguation ...
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Techniques for Jointly Extracting Entities and Relations: A Survey ...
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5
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text ...
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6
How low is too low? A monolingual take on lemmatisation in Indian languages ...
NAACL 2021 2021; Bhattacharyya, Pushpak; Saunack, Kumar. - : Underline Science Inc., 2021
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Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages ...
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8
M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations ...
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9
"So You Think You're Funny?": Rating the Humour Quotient in Standup Comedy ...
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10
Cognition-aware Cognate Detection ...
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11
Role of Language Relatedness in Multilingual Fine­-tuning of Language Models: A Case Study in Indo-­Aryan Languages ...
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12
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study ...
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13
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ...
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14
Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation
In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2-6 Nov 2020, Lisboa, Portugal. (2020)
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Syntax-informed interactive neural machine translation
In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Syntax-informed interactive neural machine translation. In: The International Joint Conference on Neural Networks (IJCNN), 19-24 July 2020, Glasgow, UK (Online). (2020)
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16
Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel ...
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17
Related Tasks can Share! A Multi-task Framework for Affective language ...
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18
Reinforced Multi-task Approach for Multi-hop Question Generation ...
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19
Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent ...
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20
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ...
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