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# Mark Steedman

8 paper cards in Mova's library · 2005–2024

Mark Steedman wrote 8 of the papers Mova reads, in 2005–2024, most of them on [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/); often with [Omri Abend](https://md.mova.elamur.ai/free/en/docs/papers/authors/omri-abend/), [Ida Szubert](https://md.mova.elamur.ai/free/en/docs/papers/authors/ida-szubert/), [Louis Mahon](https://md.mova.elamur.ai/free/en/docs/papers/authors/louis-mahon/).

[OpenAlex](https://openalex.org/A5055023881) · [ORCID](https://orcid.org/0000-0003-2509-0797) · [**h-index 63**](https://openalex.org/authors/A5055023881) · [19016 citations](https://openalex.org/authors/A5055023881) · [370 works](https://openalex.org/works?filter=author.id:A5055023881) — 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=Mark+Steedman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mark+Steedman) · [dblp](https://dblp.org/search?q=Mark+Steedman) · [ACL Anthology](https://aclanthology.org/search/?q=Mark+Steedman) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mark+Steedman)

Topics: [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 1 · [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Ideas Mova took (2)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **kept** — Mova construction corpus: about 700 sentences of our own across seven constructions (object and subject relatives, reduced relatives, wh-questions, tough adjectives, free relatives), held out from training; report recall per construction for en and gparse on… *([Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/) · en/data/constructions.tsv: 110 own sentences, 11 constructions, 220 arcs; EWT+ESLSpok model 61.8 recall, en.bin 0.4 70.0, after the parser changes 65.5…)*
- **kept** — en parse-eval as a construction gate: a release fails if any construction falls below its last-release value even when LAS rises; check that the gate goes red on a deliberately broken tagger (the negative control). *([Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/) · en construct-eval gate with per-model floors; negative control (tags shifted one word) turns all 11 constructions red (61.8 -> 3.6); commit 25d072835)*

## Papers

1. **[A Language-agnostic Model of Child Language Acquisition](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2024-mahon-language-agnostic-model-child-language/)** *(2024)* The authors port Abend et al.'s semantic-bootstrapping learner from English to Hebrew. The learner sees one child-directed utterance at a time, paired with a logical form, and learns a CCG lexicon with EM over Dirichlet-process counts. The Hebrew data are from the CHILDES Hagar corpus (3,295 utterances), converted…
2. **[Human Temporal Inferences Go Beyond Aspectual Class](https://md.mova.elamur.ai/free/en/docs/papers/prus-2024-human-temporal-inferences-go-beyond/)** *(2024)* The imperfective paradox: "I was walking" entails "I walked", but "I was building a house" does not entail "I built a house".
3. **[Universal Dependencies and Semantics for English and Hebrew Child-directed Speech](https://md.mova.elamur.ai/free/en/docs/papers/ud-2022-szubert-universal-dependencies-semantics-english-hebrew/)** *(2022)* The authors annotate child-directed speech in English (the Adam corpus of CHILDES, 18,113 utterances) and Hebrew (the Hagar corpus, 24,172 utterances) with UD, and then convert the UD trees into logical forms, a meaning representation for acquisition models.
4. **[Cross-linguistically Consistent Semantic and Syntactic Annotation of Child-directed Speech](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2021-szubert-cross-linguistically-consistent-semantic-syntactic/)** *(2021)* The paper proposes a two-step method for annotating child-directed speech (CDS) in CHILDES. First, the utterances get Universal Dependencies (UD) trees, starting from the existing dependency annotation and then hand-corrected. Second, sentential logical forms (LFs) are produced from the UD trees by unlexicalised…
5. **[A* CCG Parsing with a Supertag-factored Model](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2014-lewis-ccg-parsing-supertag-factored-model/)** *(2014)* The question is whether CCG parsing needs a full model of derivations and dependencies, or whether a model of lexical categories is enough.
6. **[Unbounded Dependency Recovery for Parser Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2009-rimell-unbounded-dependency-recovery-parser-evaluation/)** *(2009)* `2 ideas kept` The authors build a parser-evaluation corpus of around 700 sentences annotated with unbounded dependencies in seven grammatical constructions.
7. **[CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank](https://md.mova.elamur.ai/free/en/docs/papers/bank-2007-hockenmaier-ccgbank-corpus-ccg-derivations-dependency/)** *(2007)* The paper gives an algorithm that translates Penn Treebank phrase-structure trees into Combinatory Categorial Grammar derivations, with binarization, head and complement/adjunct decisions, and word-word dependencies, including long-range ones from extraction, control, raising, right-node raising and coordination.
8. **[A Framework for Annotating Information Structure in Discourse](https://md.mova.elamur.ai/free/en/docs/papers/calhoun-2005-framework-annotating-information-structure-discourse/)** *(2005)* The paper proposes a framework for analysing information structure in conversational English, using the Switchboard corpus.

## Co-authors (18)

- [Omri Abend](https://md.mova.elamur.ai/free/en/docs/papers/authors/omri-abend/) ×3
- [Ida Szubert](https://md.mova.elamur.ai/free/en/docs/papers/authors/ida-szubert/) ×2
- [Louis Mahon](https://md.mova.elamur.ai/free/en/docs/papers/authors/louis-mahon/) ×2
- [Nathan Schneider](https://md.mova.elamur.ai/free/en/docs/papers/authors/nathan-schneider/) ×2
- [Samuel Gibbon](https://md.mova.elamur.ai/free/en/docs/papers/authors/samuel-gibbon/) ×2
- [Sharon Goldwater](https://md.mova.elamur.ai/free/en/docs/papers/authors/sharon-goldwater/) ×2
- [Adam Lopez](https://md.mova.elamur.ai/free/en/docs/papers/authors/adam-lopez/)
- Jason Brenier
- Julia Hockenmaier
- Katarzyna Pruś
- Katherine Demuth
- [Laura Rimell](https://md.mova.elamur.ai/free/en/docs/papers/authors/laura-rimell/)
- Malvina Nissim
- [Mark Johnson](https://md.mova.elamur.ai/free/en/docs/papers/authors/mark-johnson/)
- [Mike Lewis](https://md.mova.elamur.ai/free/en/docs/papers/authors/mike-lewis/)
- Sasha Calhoun
- [Stephen Clark](https://md.mova.elamur.ai/free/en/docs/papers/authors/stephen-clark/)
- Uri Berger
- [← previous Mark Last](https://md.mova.elamur.ai/free/en/docs/papers/authors/mark-last/)
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