Sharid Loáiciga
Sharid Loáiciga wrote 3 of the papers Mova reads, in 2016–2017, most of them on Coreference resolution, Semantic role labeling, Machine translation; often with Alexander Fraser, Anita Ramm, Annemarie Friedrich.
OpenAlex · ORCID · h-index 8 · 233 citations · 57 works — openalex, 2026-10-18
Topics: Coreference resolution 1 · Semantic role labeling 1 · Machine translation 1
Ideas Mova took (1)
- kept — Classify every it three ways before the pronoun sieve runs, with rules from the paper's strongest cues, and let only the anaphoric ones reach nominal antecedents. (What is it? Disambiguating the different readings of the… · coref: «it» pleonastic/event/anaphoric before the pronoun sieve; GUM dev CoNLL gold 75.18/64.30→75.21/64.32, SLM trees 69.70/57.57→69.82/57.66, «it» precision…)
Papers
- What is it? Disambiguating the different readings of the pronoun 'it' (2017)
1 idea kept
English it can be anaphoric to a noun phrase («I have a bicycle. It is red»), event-referring to a verb phrase, clause or sentence («He lost his job. It came as a total surprise»), or pleonastic («It is raining»). Using 2,506 instances of it from the ParCor and DiscoMT corpora (52% anaphoric, 33% event, 15%… - Annotating tense, mood and voice for English, French and German (2017)
The paper presents an open-source rule tool that labels each verbal complex (finite and non-finite verb groups) with tense, mood and voice, for English, French and German. - Predicting and Using a Pragmatic Component of Lexical Aspect of Simple Past Verbal Tenses for Improving English-to-French Machine Translation (2016)
The paper takes the English simple past and asks whether its boundedness (whether the event is seen as reaching a boundary) helps a statistical machine translation system choose the French tense.
Co-authors (6)
- Alexander Fraser
- Anita Ramm
- Annemarie Friedrich
- Christian Hardmeier
- Cristina Grisot
- Liane Guillou
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/sharid-loaiciga/