Search Results for author: H{\'e}ctor Mart{\'\i}nez Alonso

Found 30 papers, 1 papers with code

Improving neural tagging with lexical information

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.

Part-Of-Speech Tagging Word Embeddings

Approximate unsupervised summary optimisation for selections of ROUGE

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.

The SemDaX Corpus ― Sense Annotations with Scalable Sense Inventories

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.


Crowdsourcing as a preprocessing for complex semantic annotation tasks

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.

A voting scheme to detect semantic underspecification

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) .

Word Sense Disambiguation

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