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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 54 1 Semi-automatic WordNet Linking using Word Embeddings ... Patel, Kevin; Kanojia, Diptesh; Bhattacharyya, Pushpak. - : arXiv, 2022 BASE Show details 2 Indian Language Wordnets and their Linkages with Princeton WordNet ... Kanojia, Diptesh; Patel, Kevin; Bhattacharyya, Pushpak. - : arXiv, 2022 BASE Show details 3 Tapping BERT for Preposition Sense Disambiguation ... Pawar, Siddhesh; Thombre, Shyam; Mittal, Anirudh. - : arXiv, 2021 BASE Show details 4 Techniques for Jointly Extracting Entities and Relations: A Survey ... Pawar, Sachin; Bhattacharyya, Pushpak; Palshikar, Girish K.. - : arXiv, 2021 Abstract: Relation Extraction is an important task in Information Extraction which deals with identifying semantic relations between entity mentions. Traditionally, relation extraction is carried out after entity extraction in a "pipeline" fashion, so that relation extraction only focuses on determining whether any semantic relation exists between a pair of extracted entity mentions. This leads to propagation of errors from entity extraction stage to relation extraction stage. Also, entity extraction is carried out without any knowledge about the relations. Hence, it was observed that jointly performing entity and relation extraction is beneficial for both the tasks. In this paper, we survey various techniques for jointly extracting entities and relations. We categorize techniques based on the approach they adopt for joint extraction, i.e. whether they employ joint inference or joint modelling or both. We further describe some representative techniques for joint inference and joint modelling. We also describe two ... : Accepted at 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2019) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2103.06118 https://arxiv.org/abs/2103.06118 BASE Hide details 5 Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text ... Pawar, Sachin; More, Ravina; Palshikar, Girish K.. - : arXiv, 2021 BASE Show details 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 BASE Show details 7 Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages ... Dhamecha, Tejas Indulal; Murthy, Rudra; Bharadwaj, Samarth. - : arXiv, 2021 BASE Show details 8 M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations ... Chauhan, Dushyant Singh; Singh, Gopendra Vikram; Majumder, Navonil. - : arXiv, 2021 BASE Show details 9 "So You Think You're Funny?": Rating the Humour Quotient in Standup Comedy ... Mittal, Anirudh; Jeevan, Pranav; Gandhi, Prerak. - : arXiv, 2021 BASE Show details 10 Cognition-aware Cognate Detection ... Kanojia, Diptesh; Sharma, Prashant; Ghodekar, Sayali. - : arXiv, 2021 BASE Show details 11 Role of Language Relatedness in Multilingual Fine­-tuning of Language Models: A Case Study in Indo-­Aryan Languages ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bharadwaj, Samarth; Bhattacharyya, Pushpak. - : Underline Science Inc., 2021 BASE Show details 12 Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study ... Banerjee, Tamali; Murthy, Rudra; Bhattacharyya, Pushpak. - : arXiv, 2021 BASE Show details 13 Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ... Kanojia, Diptesh; Dabre, Raj; Dewangan, Shubham. - : arXiv, 2021 BASE Show details 14 Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation Gupta, Kamal Kumar; Haque, Rejwanul; Ekbal, Asif... 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) BASE Show details 15 Syntax-informed interactive neural machine translation Haque, Rejwanul; Gupta, Kamal Kumar; Ekbal, Asif... 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) BASE Show details 16 Extracting N-ary Cross-sentence Relations using Constrained Subsequence Kernel ... Pawar, Sachin; Bhattacharyya, Pushpak; Palshikar, Girish K.. - : arXiv, 2020 BASE Show details 17 Related Tasks can Share! A Multi-task Framework for Affective language ... Deep, Kumar Shikhar; Akhtar, Md Shad; Ekbal, Asif. - : arXiv, 2020 BASE Show details 18 Reinforced Multi-task Approach for Multi-hop Question Generation ... The 28th International Conference on Computational Linguistics 2020; Bhattacharyya, Pushpak; Chauhan, Hardik. - : Underline Science Inc., 2020 BASE Show details 19 Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent ... Kunchukuttan, Anoop; Bhattacharyya, Pushpak. - : arXiv, 2020 BASE Show details 20 Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages ... The 28th International Conference on Computational Linguistics 2020; ., Gholamreza; Bhattacharyya, Pushpak. - : Underline Science Inc., 2020 BASE Show details Page: 1 2 3

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