Tejaswini Deoskar

1.1k total citations · 1 hit paper
17 papers, 716 citations indexed

About

Tejaswini Deoskar is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tejaswini Deoskar has authored 17 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Tejaswini Deoskar's work include Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (4 papers). Tejaswini Deoskar is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (13 papers) and Text Readability and Simplification (4 papers). Tejaswini Deoskar collaborates with scholars based in United Kingdom, Netherlands and United States. Tejaswini Deoskar's co-authors include Mark Steedman, Bharat Ram Ambati, Mark Johnson, Barbara Plank, Jörg Tiedemann, David McClosky, Hal Daumé, Mats Rooth, Khalil Sima’an and Qianqian Qi and has published in prestigious journals such as IEEE Pervasive Computing, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Tejaswini Deoskar

17 papers receiving 689 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2015 622 citations Bharat Ram Ambati, Tejaswini Deoskar et al. profile →

Peers

Countries citing papers authored by Tejaswini Deoskar

Since Specialization

Citations

This map shows the geographic impact of Tejaswini Deoskar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tejaswini Deoskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejaswini Deoskar more than expected).

Fields of papers citing papers by Tejaswini Deoskar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tejaswini Deoskar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tejaswini Deoskar. The network helps show where Tejaswini Deoskar may publish in the future.

Co-authorship network of co-authors of Tejaswini Deoskar

This figure shows the co-authorship network connecting the top 25 collaborators of Tejaswini Deoskar. A scholar is included among the top collaborators of Tejaswini Deoskar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tejaswini Deoskar. Tejaswini Deoskar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	A comparison of latent semantic analysis and correspondence analysis of document-term matrices 2023 ·Natural Language Engineering ·Qianqian Qi, David J. Hessen, Tejaswini Deoskar, P.G.M. van der Heijden	5
2	Geo-Aware Image Caption Generation 2020 ·(unknown), Tejaswini Deoskar, Denis Paperno, Yoad Winter	2
3	Multidisciplinary and Interdisciplinary Teaching in the Utrecht AI Program: Why and How? 2020 ·IEEE Pervasive Computing ·Christian P. Janssen, Rick Nouwen, Krista E. Overvliet, (unknown), (unknown), Tejaswini Deoskar, Ben M. Harvey	2
4	Hindi CCGbank: A CCG treebank from the Hindi dependency treebank 2017 ·Language Resources and Evaluation ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman	7
5	Shift-Reduce CCG Parsing using Neural Network Models 2016 ·UvA-DARE (University of Amsterdam) ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman	7
6	Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies breakdown → 2015 ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Johnson, Mark Steedman	622
7	An Incremental Algorithm for Transition-based CCG Parsing 2015 ·Edinburgh Research Explorer (University of Edinburgh) ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Johnson, Mark Steedman	11
8	Improving Dependency Parsers using Combinatory Categorial Grammar 2014 ·Edinburgh Research Explorer ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman	7
9	Generalizing a Strongly Lexicalized Parser using Unlabeled Data 2014 ·Edinburgh Research Explorer (University of Edinburgh) ·Tejaswini Deoskar, Christos Christodoulopoulos, Alexandra Birch, Mark Steedman	3
10	Learning structural dependencies of words in the Zipfian Tail 2013 ·Journal of Logic and Computation ·Tejaswini Deoskar, (unknown), Khalil Sima’an	1
11	Using CCG categories to improve Hindi dependency parsing 2013 ·Edinburgh Research Explorer (University of Edinburgh) ·Bharat Ram Ambati, Tejaswini Deoskar, Mark Steedman	14
12	Simple Semi-Supervised Learning for Prepositional Phrase Attachment 2011 ·Edinburgh Research Explorer ·(unknown), Alexandra Birch, Tejaswini Deoskar, Mark Steedman	2
13	Learning Structural Dependencies of Words in the Zipfian Tail 2011 ·UvA-DARE (University of Amsterdam) ·Tejaswini Deoskar, (unknown), Khalil Sima’an	1
14	Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing 2010 ·Hal Daumé, Tejaswini Deoskar, David McClosky, Barbara Plank, Jörg Tiedemann	21
15	Smoothing fine-grained PCFG lexicons 2009 ·UvA-DARE (University of Amsterdam) ·Tejaswini Deoskar, Mats Rooth, Khalil Sima’an	1
16	Induction of Treebank-Aligned Lexical Resources. 2008 ·Language Resources and Evaluation ·Tejaswini Deoskar, Mats Rooth	4
17	Re-estimation of lexical parameters for treebank PCFGs 2008 ·Tejaswini Deoskar	6

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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