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# Ivan Titov

2 paper cards in Mova's library · 2017–2021

Ivan Titov wrote 2 of the papers Mova reads, in 2017–2021, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with Anton Frolov, Diego Marcheggiani, [Shay B. Cohen](https://md.mova.elamur.ai/free/en/docs/papers/authors/shay-b-cohen/).

[OpenAlex](https://openalex.org/A5086717154) · [ORCID](https://orcid.org/0000-0002-2583-1893) · [**h-index 44**](https://openalex.org/authors/A5086717154) · [18320 citations](https://openalex.org/authors/A5086717154) · [265 works](https://openalex.org/works?filter=author.id:A5086717154) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ivan+Titov) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ivan+Titov) · [dblp](https://dblp.org/search?q=Ivan+Titov) · [ACL Anthology](https://aclanthology.org/search/?q=Ivan+Titov) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Ivan+Titov)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1

## Papers

1. **[A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples](https://md.mova.elamur.ai/free/en/docs/papers/findings-2021-wang-closer-look-into-robustness-neural/)** *(2021)* The paper attacks two English dependency parsers, a biaffine graph parser and a stack-pointer parser, by substituting words.
2. **[A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling](https://md.mova.elamur.ai/free/en/docs/papers/marcheggiani-2017-simple-accurate-syntax-agnostic-neural/)** *(2017)* The model labels dependency-based roles without any syntactic input, or with predicted POS tags only. A bidirectional LSTM encodes the sentence; for each predicate the sentence is encoded again with a binary flag on the predicate token, and the role of each candidate word is predicted from the states of the two…

## Co-authors (7)

- Anton Frolov
- Diego Marcheggiani
- [Shay B. Cohen](https://md.mova.elamur.ai/free/en/docs/papers/authors/shay-b-cohen/)
- Ting Liu
- [Wanxiang Che](https://md.mova.elamur.ai/free/en/docs/papers/authors/wanxiang-che/)
- Yuxuan Wang
- Zhilin Lei
- [← previous Ivan A. Sag](https://md.mova.elamur.ai/free/en/docs/papers/authors/ivan-a-sag/)
- [next → Izabela Czerniak](https://md.mova.elamur.ai/free/en/docs/papers/authors/izabela-czerniak/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
