Nikhil Dinesh

16 papers receiving 928 citations

Hit Papers

The Penn Discourse TreeBank 2.0.20082026201420202008200400600

Peers

Nikhil Dinesh
Comparison fields: 5 of 42
  • Artificial Intelligence 968
  • Language and Linguistics 107
  • Experimental and Cognitive Psychology 66
  • Information Systems 60
  • Computer Vision and Pattern Recognition 47
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Eros Zanchetta Italy
Lori Levin United States
Adriano Ferraresi Italy
Miriam R. L. Petruck United States
Eleni Miltsakaki United States
Janet Hitzeman United Kingdom
Klaus Ries United States
Yves Peirsman Belgium
Jan Odijk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Nikhil Dinesh

Since Specialization
Citations

This map shows the geographic impact of Nikhil Dinesh'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 Nikhil Dinesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Dinesh more than expected).

Fields of papers citing papers by Nikhil Dinesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikhil Dinesh. 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 Nikhil Dinesh. The network helps show where Nikhil Dinesh may publish in the future.

Co-authorship network of co-authors of Nikhil Dinesh

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Dinesh. A scholar is included among the top collaborators of Nikhil Dinesh 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 Nikhil Dinesh. Nikhil Dinesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1
Three Lessons for Creating a Knowledge Base to Enable Explanation, Reasoning and Dialog
1
2
Representing Roles in a Biology Textbook.
1
3
Three Lessons in Creating a Knowledge Base to Enable Reasoning, Explanation and Dialog.
1
4
Natural Language Generation for a Smart Biology Textbook
1
5
Computing Logical Form on Regulatory Texts
0
6
Regulatory conformance checking: logic and logical form
1
7 12
8
The Penn Discourse TreeBank 2.0.breakdown →
738
9
The Penn Discourse TreeBank 1.0 Annotation Manual
119
10
Complexity of Dependencies in Discourse: Are Dependencies in Discourse More Complex than in Syntax?
21
11
Extracting formal specifications from natural language regulatory documents
8
12 25
13
Attribution and its Annotation in the Penn Discourse TreeBank
29
14
Proceedings of the Workshop on Frontiers in Corpus Annotations II: Pie in the Sky
1
15 25
16
Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories
4
17
Experiments on Sense Annotations and Sense Disambiguation of Discourse Connectives
48

About Nikhil Dinesh

Nikhil Dinesh is a scholar working on Artificial Intelligence, Philosophy and Software, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (9 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Artificial Intelligence (968 citations), Language and Linguistics (107 citations) and Experimental and Cognitive Psychology (66 citations). Nikhil Dinesh has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Aravind K. Joshi, Bonnie Webber, Rashmi Prasad, Alan Lee, Eleni Miltsakaki, Livio Robaldo, Insup Lee, Oleg Sokolsky, Inseop Lee and Vinay K. Chaudhri. Their work appears in journals such as Heliyon, Language Resources and Evaluation and The Journal of Logic and Algebraic Programming.

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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