Pipeline тәсілі
Related Papers
Modeling Joint Entity and Relation Extraction with Table Representation
This paper proposes a history-based struc- tured learning approach that jointly ex- tracts entities and relations in a sentence. We introduce a novel simple and flexible table representation of entities …...
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling
Event extraction from texts aims to de- tect structured information such as what has happened, to whom, where and when. Event extraction and visualization are typ- ically considered as two …...
Non-Deterministic Segmentation for Chinese Lattice Parsing
AbstractParsing Chinese critically depends on correct word segmentation for the parser since incorrect segmentation inevitably causes incorrect parses. We investigate a pipeline approach to segmentation and parsing using word lattices …...
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
AbstractThis paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English→ Portuguese language pair. ON-TRAC Consortium is composed of researchers …...
Textual Supervision for Visually Grounded Spoken Language Understanding
AbstractVisually-grounded models of spoken language understanding extract semantic information directly from speech, without relying on transcriptions. This is useful for low-resource languages, where transcriptions can be expensive or impossible to …...
Where are we in Named Entity Recognition from Speech?
AbstractNamed entity recognition (NER) from speech is usually made through a pipeline process that consists in (i) processing audio using an automatic speech recognition system (ASR) and (ii) applying a …...