--- title: "Amir More — papers and cards" description: "Amir More: 3 paper cards in the Research library (2017–2019), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/amir-more/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/amir-more/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Amir More # Amir More 3 paper cards in the Research library · 2017–2019 Amir More wrote 3 of the papers Mova reads, in 2017–2019, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/), [Amit Seker](https://md.research.elamur.ai/free/en/authors/amit-seker/), Victoria Basmova. [OpenAlex](https://openalex.org/A5082937155) · [**h-index 5**](https://openalex.org/authors/A5082937155) · [117 citations](https://openalex.org/authors/A5082937155) · [11 works](https://openalex.org/works?filter=author.id:A5082937155) — 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=Amir+More) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Amir+More) · [dblp](https://dblp.org/search?q=Amir+More) · [ACL Anthology](https://aclanthology.org/search/?q=Amir+More) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Amir+More) Topics: [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) 3 · [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 2 ## Ideas Mova took (1) From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave. - **measured, no gain** — MDFirst as a re-ranker: keep the top-B segmentations from the Hebrew segmenter and let the parser rescore each one with its tree score, then take the best joint result. The first target is the segmenter in tools/hbo. *([Joint Transition-Based Models for Morpho-Syntactic Parsing…](https://md.research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/) · top-k segmentations rescored by gparse's tree score (hbo lattice/choose): no gain beyond noise on Chronicles (unpointed 79.73 -> 79.58..79.99, pointed 85.24…)* ## Papers 1. **[Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew](https://md.research.elamur.ai/free/en/papers/tacl-2019-more-joint-transition-based-models-morpho/)** *(2019)* In Hebrew, morphological analysis and disambiguation (MA&D) normally comes before parsing, yet the syntax would help choose the morphology, and the reverse. 2. **[Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/)** *(2018)* The ONLP Lab submission used UDPipe for segmentation and morphological disambiguation, then yap's arc-eager dependency parser (a Zhang–Nivre variant with morphological-signature features). 3. **[Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task](https://md.research.elamur.ai/free/en/papers/ud-2017-more-universal-joint-morph-syntactic-processing/)** *(2017)* The OpenU-NLP-Lab system for the CoNLL 2017 UD shared task is a transition-based, non-neural joint morphological disambiguator and arc-standard dependency parser (built in yap). ## Co-authors (3) - [Reut Tsarfaty](https://md.research.elamur.ai/free/en/authors/reut-tsarfaty/) ×3 - [Amit Seker](https://md.research.elamur.ai/free/en/authors/amit-seker/) ×2 - Victoria Basmova