no code implementations • WS 2018 • Sigrid Klerke, H{\'e}ctor Mart{\'\i}nez Alonso, Barbara Plank
We present our submission to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM).
no code implementations • WS 2017 • Beno{\^\i}t Sagot, H{\'e}ctor Mart{\'\i}nez Alonso
Neural part-of-speech tagging has achieved competitive results with the incorporation of character-based and pre-trained word embeddings.
no code implementations • CONLL 2017 • Daniel Zeman, Martin Popel, Milan Straka, Jan Haji{\v{c}}, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkov{\'a}, Jan Haji{\v{c}} jr., Jaroslava Hlav{\'a}{\v{c}}ov{\'a}, V{\'a}clava Kettnerov{\'a}, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Jenna Kanerva, Stina Ojala, Anna Missil{\"a}, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, H{\'e}ctor Mart{\'\i}nez Alonso, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, M, Michael l, Jesse Kirchner, Hector Fern Alcalde, ez, Jana Strnadov{\'a}, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendon{\c{c}}a, L, Tatiana o, Rattima Nitisaroj, Josie Li
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
1 code implementation • WS 2017 • H{\'e}ctor Mart{\'\i}nez Alonso, Amaury Delamaire, Beno{\^\i}t Sagot
We focus on the identification of omission in statement pairs.
no code implementations • WS 2016 • H{\'e}ctor Mart{\'\i}nez Alonso, Djam{\'e} Seddah, Beno{\^\i}t Sagot
User-generated content presents many challenges for its automatic processing.
no code implementations • JEPTALNRECITAL 2016 • Natalie Schluter, H{\'e}ctor Mart{\'\i}nez Alonso
Approximate summary optimisation for selections of ROUGE It is standard to measure automatic summariser performance using the ROUGE metric.
no code implementations • LREC 2016 • Bolette Pedersen, Anna Braasch, Anders Johannsen, H{\'e}ctor Mart{\'\i}nez Alonso, Sanni Nimb, Sussi Olsen, Anders S{\o}gaard, Nicolai Hartvig S{\o}rensen
The aim of the developed corpus is twofold: i) to assess the reliability of the different sense annotation schemes for Danish measured by qualitative analyses and annotation agreement scores, and ii) to serve as training and test data for machine learning algorithms with the practical purpose of developing sense taggers for Danish.
no code implementations • TACL 2016 • {\v{Z}}eljko Agi{\'c}, Anders Johannsen, Barbara Plank, H{\'e}ctor Mart{\'\i}nez Alonso, Natalie Schluter, Anders S{\o}gaard
We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages.
no code implementations • LREC 2014 • H{\'e}ctor Mart{\'\i}nez Alonso, Lauren Romeo
This article outlines a methodology that uses crowdsourcing to reduce the workload of experts for complex semantic tasks.
no code implementations • LREC 2012 • H{\'e}ctor Mart{\'\i}nez Alonso, N{\'u}ria Bel, Bolette S. Pedersen, ford
The following work describes a voting system to automatically classify the sense selection of the complex types Location/Organization and Container/Content, which depend on regular polysemy, as described by the Generative Lexicon (Pustejovsky, 1995) .