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1
Semi-automatic WordNet Linking using Word Embeddings ...
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Indian Language Wordnets and their Linkages with Princeton WordNet ...
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3
Tapping BERT for Preposition Sense Disambiguation ...
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4
Techniques for Jointly Extracting Entities and Relations: A Survey ...
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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 ...
Abstract: We explore the impact of leveraging the relatedness of languages that belong to the same family in NLP models using multilingual fine-tuning. We hypothesize and validate that multilingual fine-tuning of pre-trained language models can yield better performance on downstream NLP applications, compared to models fine-tuned on individual languages. A first of its kind detailed study is presented to track performance change as languages are added to a base language in a graded and greedy (in the sense of best boost of performance) manner; which reveals that careful selection of subset of related languages can significantly improve performance than utilizing all related languages. The Indo-Aryan (IA) language family is chosen for the study, the exact languages being Bengali, Gujarati, Hindi, Marathi, Oriya, Punjabi and Urdu. The script barrier is crossed by simple rule-based transliteration of the text of all languages to Devanagari. Experiments are performed on mBERT, IndicBERT, MuRIL and two RoBERTa-based LMs, ... : Accepted in EMNLP 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.10534
https://arxiv.org/abs/2109.10534
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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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15
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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