Master – Ixa Group. Language Technology.

HAP/LAP Master Theses (2020-09-21 and 22)

Kepa Sarasola — Wed, 16 Sep 2020 09:14:06 +0000

The following master theses will be presented next week.
Date: September 21 and 22
Place: Ada Lovelace room

Day/ Time	Student	Supervisor	Title
Sep. 21 15:00	Garcia Montero, Eneritz	Arantza del Pozo-Echezarreta Itziar Gonzalez-Dios	Coping with Data Scarcity: First Steps towards Word Expansion for a Chatbot in the Urban transportation Domain
Sep 21 15:45	Lima Lopez, Salvador	Montse Cuadros Olatz Pérez de Viñaspre	Towards Orthographic and Grammatical Clinical Text Correction: a First Approach
Sep 21 16:30	Toporkov, Olia	Rodrigo Agerri	Studying the Role of Morphological Information for Contextual Lemmatization in Highly Inflected Languages

Sep 22 15:00	Susperregi Indakoetxea, Mari	Olatz Pérez de Viñaspre Ander Barrena	Muturretik muturrerako informazio erauzketa eleaniztuna eta hizkuntzen arteko terminoen lerrokatze neuronala
Sep. 22 15:45	Ortuondo Reyero, Aitor	German Rigau	Domain Disambiguation using Contextual Word Embeddings
Sep 22 16:30	Xu, Xiao	Martijn Wieling German Rigau	Multilingual Classification for Legal Prediction
Sep 22 17:15	Martinez Alvarez, Cristina	Aitor Soroa Rodrigo Agerri	BarceloQA: Building a Dataset for the Tourism Domain

Master students won EHealth-KD-2020 subtask on Relation Extraction

Kepa Sarasola — Mon, 11 May 2020 07:34:56 +0000

Oscar Sainz and Edgar Andrés, students of the HAP-LAP master, obtained an excellent result in the eHealth-2020 challenge presented with professors Oier Lopez de Lacalle and Aitziber Atutxa. Their team (IXA-NER-RE) has been “champion” in the Relational Extraction sub-task.

Although their main objective was participation only in the Relation Extraction subtask, they also presented tiny systems in the other two subtasks (Entity Recognition and Alternative Domain) and so their system was fourth in the main evaluation.

ZORIONAK, CONGRATULATIONS!
You have done a good job!

The results can be consulted here:
https://knowledge-learning.github.io/ehealthkd-2020/results

IXA-NER-RE was the “champion” in “Relation Extraction” subtask

Eneko Agirre won for the third consecutive year the Google prize

Kepa Sarasola — Wed, 01 Apr 2020 11:31:36 +0000

Eneko Agirre won again a Google prize last March. He is one of the few researchers who has obtained the Google Faculty Research Award on three occasions. The $62,000 prize will fund the project ‘Conversational Question Answering agents that learn after deployment’ to develop user dialogue systems, chatbots and artificial intelligence.

Eneko Agirre, member of Ixa Group and professor at the Faculty of Computer Science of the UPV/EHU, is the director of the newly created HiTZ Research Center. The other 6 colleagues in the project are professors Aitor Soroa and Gorka Azkune, researcher Arantxa Otegi, doctoral student Jon Ander Campos, student of Master in Language Analysis and Processing Aitor Agirre and student of Degree in Computer Science Eduardo Vallejo.

Although the project focuses mainly on English dialogues (questions about cooking and food), they are also working with Basque dialogues. For this purpose, last year Ixa Group launched a campaign to recruit volunteers for the collection of interviews in Basque. The campaign was succesfull and many personal interviews were collected in Basque (http://ixa.eus/lagundu).

La Inteligencia Artificial no es ciencia-ficción
– eitb (Ganbara) –

GOOGLE PREMIA A ENEKO AGIRRE, PROFESOR DE INFORMÁTICA DE LA UPV
– Estrategia empresarial –

Google premia una investigación española sobre procesamiento del lenguaje
– España buenas noticias –

EHUko irakasle batek Google erakundearen ikerketa sarietako bat lortu du
– Europapress –

EHUko irakasle batek Google erakundearen ikerketa sarietako bat lortu du
– El Correo –

Eneko Agirre UPV/EHUko irakasleak Google-ren sari bat lortu du, 62.000 eurokoa
– naiz –

UPV/EHUko Eneko Agirre irakasleak Google erakundearen ikerketa sarietako bat lortu du
– Campusa –

EHUko Informatika irakasle batek Google erakundearen ikerketa sarietako bat lortu du
– Bilbao24h –

“Language Analysis and Processing” master theses (2018-06-26)

Kepa Sarasola — Tue, 17 Jul 2018 09:07:30 +0000

Four master theses have been presented in June:

15:00
Noisy Speech Recognition using Kaldi and Neural Architectures
Ikaslea/Student: Ander González Docasal
Zuzendariak/Supervisors: Vassilis Tsiaras, George P. Kafentzis, Yannis Stylianou

15:45
Unsupervised Methods to Predict Example Difficulty in Word Sense Annotation
Ikaslea/Student: Cristina Aceta Moreno
Zuzendariak/Supervisors: Oier Lopez de Lacalle, Eneko Agirre, Izaskun Aldezabal

16:30
To post‐edit or to translate… That is the question.
A case study of a recommender system for Quality Estimation of Machine Translation based on linguistic feature
Ikaslea/Student: Ona de Gilbert Bonet
Zuzendaria/Supervisor: Nora Aranberri

17:15
Basque‐to‐Spanish and Spanish‐to‐Basque Machine Translation for the health domain
Ikaslea/Student: Xabier Soto García
Zuzendariak/Supervisors: Gorka Labaka, Olatz Perez de Viñaspre
Zuzendarikidea/Co‐advisor: Maite Oronoz

HAP/LAP master thesis (Noelia Migueles, 2017-06-27)

Kepa Sarasola — Tue, 27 Jun 2017 11:47:24 +0000

Today afternoon, June the 27th, Noelia Migueles will defend her master thesis.

Date: june 27th, 15:00
Place: Ada Lovelace room

Izenburua / Title: A Study Towards Spanish Abstract Meaning Representation

Egilea / Author: Noelia Migueles-Abraira

Tutoreak / Supervirors: Arantza Diaz de Ilarraza and Rodri Agerri

Neural Machine Translation. Open workshop with Kyunghyun Cho (2017-05-29)

Kepa Sarasola — Tue, 16 May 2017 16:23:39 +0000

Neural Machine Translation
Open workshop with Kyunghyun Cho
Donostia, 2017-05-29

Trends in Neural Machine Translation (Olof Mogren, 2016)

The third generation of machine translation systems is currently under active development. After initially dominating the field, rule-based machine translation (RBMT) systems have been gradually replaced by data-driven approaches in the last two decades, with statistical machine translation (SMT) systems prevailing as the main paradigm. In the last two years, deep learning approaches have significantly impacted the field, with the rise of neural machine translation (NMT) as the new state-of-the-art in automated translation. This event presents advanced results in the field, in particular for machine translation of Basque.
Context:

The MODELA project was created to advance research and development in deep-learning approaches to machine translation and to address the many challenges of Basque machine translation. The project is financed by the Basque Government and is being carried out by the following entities: Ametzagaiña, Elhuyar, ISEA, UPV/EHU (IXA group) and Vicomtech-IK4.

Guest:

The main speaker will be Kyunghyun Cho (Center for Data Science, New York University), who is an eminent researcher in the area, the most referenced on NMT, a field in which he has obtained a Google prize. Additionally, he is a a brilliant speaker.

Date: May 29, 2017, 11:00
Place: UPV/EHUko Informatika Fakultatea, Manuel de Lardizabal 1, 20018 Donostia (map)
Schedule:

11.00-11.15: Introduction and presentation of the project
11.15-12.30: Neural Machine Translation (Kyunghyun Cho)
12.30-13.15: First results in the Modela project

Sponsor: Modela project and University of the Basque Country

Next day, on Tuesday May 30, at 15:00 he will be with the students of our Master on Language Technology

HAP/LAP master theses (2016-09-27)

Kepa Sarasola — Mon, 26 Sep 2016 18:14:23 +0000

Master HAP/LAP
EMLCT master
Master thesis defences

Date: September 27th
Place: Ada Lovelace room

15:30
Universal Dependencies for Buryat.
Author: Elena Badmaeva
Supervirors: Koldo Gojenola , Gosse Bouma

16:15
LexSynSimpleText, a lexical and syntactic simplifier: first steps.
Author: Maria Eguimendia
Supervirors: Arantza Diaz de Ilarraza and Gosse Bouma

17:00
Data Sparsity in Highly Inflected Languages: The Case of Morphosyntactic Tagging in Polish.
Egilea / Author: Michael Ustaszewski
Tutoreak / Supervirors: Rodrigo Agerri and German Rigau

17:45
Multilingual Central Repository version 3.0: improving a very large lexical knowledge base.
Egilea / Author: Daniel Parera Perez
Tutoreak / Supervirors: German Rigau Claramunt

Erasmus Mundus LCT master. Annual Meeting 2016 in Donostia (June 09 – 10)

Kepa Sarasola — Wed, 08 Jun 2016 12:01:05 +0000

European Masters Program
Language & Communication Technologies

Annual Meeting 2016 in Donostia (June 09 – 10)

Day 1, Thursday, June 9, 2016

08:45 : Welcome.
09:00 : Introduction, Dr. Ivana Kruijff-Korbayová.
09:30 : Invited talk: Eneko Agirre (UPV/EHU) – Natural Language Understanding using Knowledge Bases and Random Walks.
10:30 : Coffee break.
11:00 : In parallel:
- Student meeting.
- Consortium partner meeting.
12:30 : Lunch.
13:30-14:30 : Poster session Group 1.
14:30-15:30 : Poster session Group 2.
15:30 : Coffee break.
16:00 : Invited talk Dr. Francis Tyers ( Higher School of Economics ) – Apertium: Rule-based machine translation is still something people do.
17:00 : Graduation ceremony.
18:00 : End of official programme.

Day 2, Friday, June 10, 2016

09:30 : Plenary meeting : students + coordinators.
11:00 : Coffee break.
11:30 : Invited talk : Tim Baldwin ( University of Melbourne ) – Multiword Expressions: From Theory to Practicum.
12:30 : Lunch.
13:30 : Workshop: Maria Saiz (UPV/EHU) – Entrepreneurial University: How to create an Spin-off.
15:30 : Consortium partner meeting.
15.30 : Social event.

Video: HAP-LAP master thesis (Mikel Artetxe)

Kepa Sarasola — Fri, 27 May 2016 11:20:34 +0000

Last week Mikel Artetxe presented his thesis at HAP-LAP master.

The presentation can be seen here:

Distributional Semantics and Machine Learning for Statistical Machine Translation
Author: Mikel Artetxe Zurutuza
Supervisors: Eneko Agirre eta Gorka Labaka

Master theses defence

ESTHER MIRANDA ASEGUINOLAZA — Thu, 12 May 2016 08:06:52 +0000

Master HAP/LAP masterra

Master-tesien defentsak / Master theses defence

Eguna / Date: maiatzaren 17a / May 17th
Lekua / Place: Ada Lovelace aretoa / Ada Lovelace room

11:00
Adverse Drug Reaction event extraction on Electronic Health Records written in Spanish.
Egilea / Author: Sara Santiso González
Tutoreak / Supervirors: Alicia Pérez eta Arantza Casillas
Epaimahaia: Eva Navas, Montse Maritxalar Arantza Casillas

11:45
Distributional Semantics and Machine Learning for Statistical Machine Translation
Egilea / Author: Mikel Artetxe Zurutuza
Tutoreak / Supervirors: Eneko Agirre eta Gorka Labaka
Epaimahaia: Eva Navas, Montse Maritxalar, Gorka Labaka