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# Massimo Poesio

8 paper cards in Mova's library · 2004–2023

Massimo Poesio wrote 8 of the papers Mova reads, in 2004–2023, most of them on [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/), [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/), [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/), [Nafise Sadat Moosavi](https://md.mova.elamur.ai/free/en/docs/papers/authors/nafise-sadat-moosavi/).

[OpenAlex](https://openalex.org/A5047065550) · [ORCID](https://orcid.org/0000-0001-8469-2072) · [**h-index 47**](https://openalex.org/authors/A5047065550) · [10176 citations](https://openalex.org/authors/A5047065550) · [588 works](https://openalex.org/works?filter=author.id:A5047065550) — 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=Massimo+Poesio) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Massimo+Poesio) · [dblp](https://dblp.org/search?q=Massimo+Poesio) · [ACL Anthology](https://aclanthology.org/search/?q=Massimo+Poesio) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Massimo+Poesio)

Topics: [Coreference resolution](https://md.mova.elamur.ai/free/en/docs/papers/topics/coreference-resolution/) 7 · [Discourse analysis](https://md.mova.elamur.ai/free/en/docs/papers/topics/discourse-analysis/) 3 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1 · [Semantic role labeling](https://md.mova.elamur.ai/free/en/docs/papers/topics/semantic-role-labeling/) 1

## 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** — Implement the discourse-deixis baseline as a sieve in coref/src/sieve.rs (the disabled demonstratives slot is the place): this/that (and it as subject of happened, was true, means) not followed by a noun → the preceding clause, as an event mention with a… *([The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and…](https://md.mova.elamur.ai/free/en/docs/papers/yu-2022-codi-crac-2022-shared-task/) · deixis sieve (event «it», bare this/that → previous clause, as an added clause mention): 17 of 141 right on GUM dev, −0.76/−0.09 CoNLL gold; in coref, off by…)*

## Papers

1. **[Scoring Coreference Chains with Split-Antecedent Anaphors](https://md.mova.elamur.ai/free/en/docs/papers/paun-2023-scoring-coreference-chains-split-antecedent/)** *(2023)* Standard coreference scorers (MUC, B3, CEAF, LEA, BLANC) assume that every anaphor refers to one entity, so they cannot score split-antecedent references such as "they" for "John" and "Mary" in "John met Mary.
2. **[The CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.mova.elamur.ai/free/en/docs/papers/yu-2022-codi-crac-2022-shared-task/)** *(2022)* The second edition of a shared task on anaphora in dialogue, with three tasks: identity anaphora (including split antecedents and singletons), bridging reference, and discourse deixis (a pronoun such as that or this referring to an event, fact or utterance).
3. **[The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue](https://md.mova.elamur.ai/free/en/docs/papers/khosla-2021-codi-crac-2021-shared-task/)** *(2021)* The shared task asks systems to find anaphoric relations in conversation, a genre that OntoNotes-style corpora barely cover.
4. **[Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-free-plural-unrestricted-split-antecedent/)** *(2020)* Most coreference systems give a mention one antecedent, so «John met Mary. They had a chat» cannot be resolved: they refers to two separately introduced entities. The paper builds the first model for this split-antecedent case in general, on ARRAU (news, dialogue, fiction, medical; 507 training anaphors), with gold…
5. **[Using Automatically Extracted Minimum Spans to Disentangle Coreference Evaluation from Boundary Detection](https://md.mova.elamur.ai/free/en/docs/papers/moosavi-2019-automatically-extracted-minimum-spans-disentangle/)** *(2019)* Scoring coreference by maximum spans mixes coreference errors with boundary errors such as PP attachment: «an extensive presence» and «an extensive presence, of course in this country» count as different mentions, and the system is penalised as if it had linked the wrong thing.
6. **[ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions](https://md.mova.elamur.ai/free/en/docs/papers/uryupina-2016-arrau-linguistically-motivated-annotation-anaphoric/)** *(2016)* The paper presents the second release of ARRAU, a multi-domain corpus for anaphora. Its domains are news (from the RST Discourse Treebank), task-oriented dialogue (TRAINS), fiction (PEAR) and medical leaflets (GNOME). Release 2 has 552 documents, 348,072 tokens and 99,582 markables. Release 1 had 264 documents…
7. **[Merging PropBank, NomBank, TimeBank, Penn Discourse Treebank and Coreference](https://md.mova.elamur.ai/free/en/docs/papers/pustejovsky-2005-merging-propbank-nombank-timebank-penn/)** *(2005)* Separate annotation projects each cover one part of semantics: PropBank and NomBank (predicate-argument structure of verbs and nouns), TimeBank (events, times and their links), the Penn Discourse Treebank (connectives as predicates), and Essex coreference (MATE scheme).
8. **[Identifying Broken Plurals in Unvowelised Arabic Text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2004-goweder-identifying-broken-plurals-unvowelised-arabic/)** *(2004)* Broken plurals (formed by changing the consonant pattern of the singular, not by adding a suffix) cannot be undone by affix stripping, so a light stemmer leaves them as separate stems.

## Co-authors (21)

- [Juntao Yu](https://md.mova.elamur.ai/free/en/docs/papers/authors/juntao-yu/) ×4
- [Michael Strube](https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-strube/) ×3
- [Nafise Sadat Moosavi](https://md.mova.elamur.ai/free/en/docs/papers/authors/nafise-sadat-moosavi/) ×3
- [Carolyn Rosé](https://md.mova.elamur.ai/free/en/docs/papers/authors/carolyn-rose/) ×2
- [Ramesh Manuvinakurike](https://md.mova.elamur.ai/free/en/docs/papers/authors/ramesh-manuvinakurike/) ×2
- [Silviu Paun](https://md.mova.elamur.ai/free/en/docs/papers/authors/silviu-paun/) ×2
- [Sopan Khosla](https://md.mova.elamur.ai/free/en/docs/papers/authors/sopan-khosla/) ×2
- [Vincent Ng](https://md.mova.elamur.ai/free/en/docs/papers/authors/vincent-ng/) ×2
- Abduelbaset Goweder
- [Adam Meyers](https://md.mova.elamur.ai/free/en/docs/papers/authors/adam-meyers/)
- Anne De Roeck
- Antonella Bristot
- Federica Cavicchio
- [James Pustejovsky](https://md.mova.elamur.ai/free/en/docs/papers/authors/james-pustejovsky/)
- Jeff Reynolds
- Kepa Rodriguez
- [Leo Born](https://md.mova.elamur.ai/free/en/docs/papers/authors/leo-born/)
- [Lori Levin](https://md.mova.elamur.ai/free/en/docs/papers/authors/lori-levin/)
- [Martha Palmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/martha-palmer/)
- [Olga Uryupina](https://md.mova.elamur.ai/free/en/docs/papers/authors/olga-uryupina/)
- Ron Artstein
- [← previous Massimiliano Ciaramita](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimiliano-ciaramita/)
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