--- title: "Tal Linzen — papers and cards" description: "Tal Linzen: 2 paper cards in the Research library (2019–2021), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/tal-linzen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tal-linzen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tal Linzen # Tal Linzen 2 paper cards in the Research library · 2019–2021 Tal Linzen wrote 2 of the papers Mova reads, in 2019–2021; often with [Alex Warstadt](https://md.research.elamur.ai/free/en/authors/alex-warstadt/), [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/), [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/). [OpenAlex](https://openalex.org/A5081824828) · [ORCID](https://orcid.org/0000-0003-0435-6912) · [**h-index 37**](https://openalex.org/authors/A5081824828) · [6224 citations](https://openalex.org/authors/A5081824828) · [241 works](https://openalex.org/works?filter=author.id:A5081824828) — openalex-snapshot, 2026-10-14 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=Tal+Linzen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tal+Linzen) · [dblp](https://dblp.org/search?q=Tal+Linzen) · [ACL Anthology](https://aclanthology.org/search/?q=Tal+Linzen) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Tal+Linzen) ## Papers 1. **[NOPE: A Corpus of Naturally-Occurring Presuppositions in English](https://md.research.elamur.ai/free/en/papers/parrish-2021-nope-corpus-naturally-occurring-presuppositions/)** *(2021)* NOPE collects about 1,280 corpus passages, each with a presupposition trigger of one of ten types: change of state, aspectual verbs (begin, stop), clause-embedding verbs (know, realize, say), clefts, comparatives, embedded questions, implicatives (manage to, fail to), numeric determiners (both), re- verbs, and… 2. **[Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/)** *(2019)* Statistical NLI models can score high on MNLI while relying on three syntactic shortcuts: lexical overlap (a premise entails any hypothesis built from its words), the subsequence heuristic (it entails any contiguous word span), and the constituent heuristic (it entails any complete subtree). ## Co-authors (9) - [Alex Warstadt](https://md.research.elamur.ai/free/en/authors/alex-warstadt/) - [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/) - [Ellie Pavlick](https://md.research.elamur.ai/free/en/authors/ellie-pavlick/) - Omar Agha - [R. Thomas McCoy](https://md.research.elamur.ai/free/en/authors/r-thomas-mccoy/) - [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) - [Sebastian Schuster](https://md.research.elamur.ai/free/en/authors/sebastian-schuster/) - [Soo-Hwan Lee](https://md.research.elamur.ai/free/en/authors/soo-hwan-lee/) - Zhuoye Zhao ## More papers in the library (6) Pages of the Research library: our summary, the ideas, references and who cites each. - [Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks](https://md.research.elamur.ai/free/en/papers/mccoy-2020-does-syntax-need-grow-trees/) — R. Thomas McCoy, Robert Frank, Tal Linzen · 2020 - [How Can We Accelerate Progress Towards Human-like Linguistic Generalization?](https://md.research.elamur.ai/free/en/papers/linzen-2020-how-can-we-accelerate-progress/) — Tal Linzen · 2020 - [Syntactic Data Augmentation Increases Robustness to Inference Heuristics](https://md.research.elamur.ai/free/en/papers/min-2020-syntactic-data-augmentation-increases-robustness/) — Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al. · 2020 - [Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) — Najoung Kim, Roma Patel, Adam Poliak, et al. · 2019 - [Colorless Green Recurrent Networks Dream Hierarchically](https://md.research.elamur.ai/free/en/papers/gulordava-2018-colorless-green-recurrent-networks-dream/) — Kristina Gulordava, Piotr Bojanowski, Edouard Grave, et al. · 2018 - [Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies](https://md.research.elamur.ai/free/en/papers/linzen-2016-assessing-ability-lstms-learn-syntax/) — Tal Linzen, Emmanuel Dupoux, Yoav Goldberg · 2016