Valentin I. Spitkovsky

904 total citations
23 papers, 581 citations indexed

About

Valentin I. Spitkovsky is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Valentin I. Spitkovsky has authored 23 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Valentin I. Spitkovsky's work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Semantic Web and Ontologies (3 papers). Valentin I. Spitkovsky is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Semantic Web and Ontologies (3 papers). Valentin I. Spitkovsky collaborates with scholars based in United States and Spain. Valentin I. Spitkovsky's co-authors include Daniel Jurafsky, Hiyan Alshawi, Christopher D. Manning, Anne Lynn S. Chang, John Bauer, Mihai Surdeanu, Eneko Agirre, David McClosky, Julie Tibshirani and Eric Yeh and has published in prestigious journals such as Journal of Computational Biology, Language Resources and Evaluation and Journal of Heuristics.

In The Last Decade

Valentin I. Spitkovsky

23 papers receiving 511 citations

Peers

Valentin I. Spitkovsky
Dennis Connolly United States
Lushan Han United States
Yi Luan United States
Chris Hokamp Ireland
Avirup Sil United States
Ahmed El-Kishky United States
Abe Ittycheriah United States
Valentin I. Spitkovsky
Citations per year, relative to Valentin I. Spitkovsky Valentin I. Spitkovsky (= 1×) peers Olivier Ferret

Countries citing papers authored by Valentin I. Spitkovsky

Since Specialization
Citations

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

Fields of papers citing papers by Valentin I. Spitkovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin I. Spitkovsky. 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 Valentin I. Spitkovsky. The network helps show where Valentin I. Spitkovsky may publish in the future.

Co-authorship network of co-authors of Valentin I. Spitkovsky

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

All Works

20 of 20 papers shown
1.
Chang, Anne Lynn S., Valentin I. Spitkovsky, Christopher D. Manning, & Eneko Agirre. (2016). A comparison of named-entity disambiguation and word sense disambiguation. Language Resources and Evaluation. 860–867. 11 indexed citations
2.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2013). Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction. 1983–1995. 28 indexed citations
3.
Spitkovsky, Valentin I., et al.. (2012). A Cross-Lingual Dictionary for English Wikipedia Concepts. Language Resources and Evaluation. 3168–3175. 107 indexed citations
4.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2012). Capitalization Cues Improve Dependency Grammar Induction. North American Chapter of the Association for Computational Linguistics. 16–22. 4 indexed citations
5.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2012). Bootstrapping Dependency Grammar Inducers from Incomplete Sentence Fragments via Austere Models. 189–194. 3 indexed citations
6.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2012). Three Dependency-and-Boundary Models for Grammar Induction. Empirical Methods in Natural Language Processing. 688–698. 14 indexed citations
7.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2011). Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction. Empirical Methods in Natural Language Processing. 1269–1280. 19 indexed citations
8.
Surdeanu, Mihai, Sonal Gupta, John Bauer, et al.. (2011). Stanford's Distantly-Supervised Slot-Filling System. Theory and applications of categories. 21 indexed citations
9.
Chang, Anne Lynn S. & Valentin I. Spitkovsky. (2011). Strong Baselines for Cross-Lingual Entity Linking.. Theory and applications of categories. 3 indexed citations
10.
Chang, Anne Lynn S., Valentin I. Spitkovsky, Eneko Agirre, & Christopher D. Manning. (2011). Stanford-UBC Entity Linking at TAC-KBP, Again.. Theory and applications of categories. 4 indexed citations
11.
Spitkovsky, Valentin I., Hiyan Alshawi, Anne Lynn S. Chang, & Daniel Jurafsky. (2011). Unsupervised Dependency Parsing without Gold Part-of-Speech Tags. Empirical Methods in Natural Language Processing. 1281–1290. 39 indexed citations
12.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2011). Punctuation: Making a Point in Unsupervised Dependency Parsing. 19–28. 37 indexed citations
13.
Surdeanu, Mihai, David McClosky, Julie Tibshirani, et al.. (2010). A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task. Theory and applications of categories. 40 indexed citations
14.
Spitkovsky, Valentin I., Daniel Jurafsky, & Hiyan Alshawi. (2010). Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing. Meeting of the Association for Computational Linguistics. 1278–1287. 24 indexed citations
15.
Chang, Anne Lynn S., Valentin I. Spitkovsky, Eric Yeh, Christopher D. Manning, & Eneko Agirre. (2010). Stanford-UBC Entity Linking at TAC-KBP. Theory and applications of categories. 13 indexed citations
16.
Spitkovsky, Valentin I., Hiyan Alshawi, Daniel Jurafsky, & Christopher D. Manning. (2010). Viterbi Training Improves Unsupervised Dependency Parsing. 9–17. 53 indexed citations
17.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2010). From Baby Steps to Leapfrog: How ``Less is More'' in Unsupervised Dependency Parsing. North American Chapter of the Association for Computational Linguistics. 751–759. 82 indexed citations
18.
Agirre, Eneko, Anne Lynn S. Chang, Daniel Jurafsky, et al.. (2009). Stanford-UBC at TAC-KBP. Theory and applications of categories. 17 indexed citations
19.
Spitkovsky, Valentin I., Hiyan Alshawi, & Daniel Jurafsky. (2009). Baby Steps: How “Less is More” in unsupervised dependency parsing. 18 indexed citations
20.
Pachter, Lior, Serafim Batzoglou, Valentin I. Spitkovsky, et al.. (1999). A Dictionary-Based Approach for Gene Annotation. Journal of Computational Biology. 6(3-4). 419–430. 20 indexed citations

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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