DOCAL - Vicomtech's Participation in the WMT16 Shared Task on Bilingual Document Alignment
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSemantic Textual SimilaritySimilar Papers 제목 키워드 기반
STACC, OOV Density and N-gram Saturation: Vicomtech's Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering
We describe Vicomtech{'}s participation in the WMT 2018 Shared Task on parallel corpus filtering. We aimed to evaluate a simple approach to the task, which can efficiently process large volumes of data and can be easily …
Machine TranslationOutlier DetectionSentenceSupervised and Unsupervised Minimalist Quality Estimators: Vicomtech's Participation in the WMT 2018 Quality Estimation Task
We describe Vicomtech{'}s participation in the WMT 2018 shared task on quality estimation, for which we submitted minimalist quality estimators. The core of our approach is based on two simple features: lexical translati…
Language ModelingLanguage ModellingMachine TranslationSentence+1Vicomtech at eHealth-KD Challenge 2020: Deep End-to-End Model for Entity and Relation Extraction in Medical Text
This paper describes the participation of the Vicomtech NLP team in the eHealth-KD 2020 shared task about detecting and classifying entities and relations in health-related texts written in Spanish. The proposed system …
Medical DiagnosisMedical ProcedureMulti-Label Classification Of Biomedical TextsRelation ExtractionDocalog: Multi-document Dialogue System using Transformer-based Span Retrieval
Information-seeking dialogue systems, including knowledge identification and response generation, aim to respond to users with fluent, coherent, and informative answers based on users’ needs. This paper discusses our pro…
Response GenerationRetrievalTALN/LS2N Participation at the BUCC Shared Task: Bilingual Dictionary Induction from Comparable Corpora
This paper describes the TALN/LS2N system participation at the Building and Using Comparable Corpora (BUCC) shared task. We first introduce three strategies: (i) a word embedding approach based on fastText embeddings; (i…