Diachronic word embeddings reveal statistical laws of semantic change

WL Hamilton, J Leskovec, D Jurafsky - arXiv preprint arXiv:1605.09096, 2016 - arxiv.org
Understanding how words change their meanings over time is key to models of language
and cultural evolution, but historical data on meaning is scarce, making theories hard to …

The Lefff, a freely available and large-coverage morphological and syntactic lexicon for French

B Sagot - 7th international conference on Language Resources …, 2010 - inria.hal.science
In this paper, we introduce the Lefff, a freely available, accurate and large-coverage
morphological and syntactic lexicon for French, used in many NLP tools such as large …

[PDF][PDF] Coupling an annotated corpus and a morphosyntactic lexicon for state-of-the-art POS tagging with less human effort

P Denis, B Sagot - Proceedings of the 23rd Pacific Asia …, 2009 - waseda.repo.nii.ac.jp
This paper investigates how to best couple hand-annotated data with information extracted
from an external lexical resource to improve POS tagging performance. Focusing on French …

Robust French syntax analysis: reconciling statistical methods and linguistic knowledge in the Talismane toolkit

A Urieli - 2013 - theses.hal.science
In this thesis we explore robust statistical syntax analysis for French. Our main concern is to
explore methods whereby the linguist can inject linguistic knowledge and/or resources into …

Aiding pronoun translation with co-reference resolution

R Le Nagard, P Koehn - Proceedings of the Joint Fifth Workshop …, 2010 - research.ed.ac.uk
Aiding pronoun translation with co-reference resolution Page 1 Edinburgh Research Explorer
Aiding Pronoun Translation with Co-reference Resolution Citation for published version: Le …

Démonette, a French derivational morpho-semantic network

N Hathout, F Namer - Linguistic issues in language technology, 2014 - aclanthology.org
Démonette is a derivational morphological network created from information provided by two
existing lexical resources, DériF and Morphonette. It features a formal architecture in which …

A robust transformation-based learning approach using ripple down rules for part-of-speech tagging

DQ Nguyen, DQ Nguyen, DD Pham… - AI …, 2016 - content.iospress.com
In this paper, we propose a new approach to construct a system of transformation rules for
the Part-of-Speech (POS) tagging task. Our approach is based on an incremental …

Coupling an annotated corpus and a lexicon for state-of-the-art POS tagging

P Denis, B Sagot - Language resources and evaluation, 2012 - Springer
This paper investigates how to best couple hand-annotated data with information extracted
from an external lexical resource to improve part-of-speech tagging performance. Focusing …

From SPMRL to NMRL: What did we learn (and unlearn) in a decade of parsing morphologically-rich languages (MRLs)?

R Tsarfaty, D Bareket, S Klein, A Seker - arXiv preprint arXiv:2005.01330, 2020 - arxiv.org
It has been exactly a decade since the first establishment of SPMRL, a research initiative
unifying multiple research efforts to address the peculiar challenges of Statistical Parsing for …

Improving generative statistical parsing with semi-supervised word clustering

M Candito, B Crabbé - … Conference on Parsing Technologies-IWPT'09, 2009 - hal.science
We present a semi-supervised method to improve statistical parsing performance. We focus
on the well-known problem of lexical data sparseness and present experiments of word …