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Record W2250176460 · doi:10.18653/v1/w15-22

Proceedings of the 14th International Conference on Parsing Technologies

2015· paratext· en· W2250176460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldComputer Science
TopicNatural Language Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsParsingComputer scienceProgramming language

Abstract

fetched live from OpenAlex

Welcome to the Eleventh International Conference on Parsing Technologies, IWPT'09, in the splendid city of Paris. IWPT'09 continues the tradition of biennial conferences on parsing technology organized by SIGPARSE, the Special Interest Group on Parsing of the Association for Computational Linguistics (ACL). The first conference, in 1989, took place in Pittsburgh and Hidden Valley, Pennsylvania. Subsequently, IWPT conferences were held in Cancun (Mexico) in 1991; Tilburg (Netherlands) and Durbuy (Belgium) in 1993; Prague and Karlovy Vary (Czech Republic) in 1995; Boston/Cambridge (Massachusetts) in 1997; Trento (Italy) in 2000; Beijing (China) in 2001; Nancy (France) in 2003; Vancouver (Canada) in 2005; and Prague (Czech Republic) in 2007. Over the years the IWPT Workshops have become the major forum for researchers in natural language parsing. They have lead to the publication of four books on parsing technologies; a fifth one about to be published. Where the IWPT conferences from 1989 through 2003 were standalone conferences, the last two IWPTs were organised as co-satellite event of large conferences: IWPT 2005 was co-located with the HLTEMNLP conference in Vancouver, and IWPT 2007 with the main ACL conference in Prague. This worked well from a logistic point of view, thanks to the support from ACL, but it was felt to lead to somewhat less interesting events than in the past, sitting in the shadow of the larger conference and competing with other satellite events. It was therefore decided to return to the standalone format in 2009, with INRIA Rocquencourt and the University of Paris 7 volunteering to take charge of the organisation. We would like to thank Eric de la Clergerie, Laurence Danlos, Benoit Sagot and the support staff at INRIA and University of Paris 7 for their efforts to realize IWPT'09.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.309
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations18
Published2015
Admission routes1
Has abstractyes

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