Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task

Amit Seker; Amir More; Reut Tsarfaty

2018 CONLL CoNLL 2018

Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task

🌉 Interdisciplinary Bridge — Interdisciplinary and Natural Language Processing

🧭 Keyword Pioneer — morphosyntactic parsing

🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Amit Seker , Amir More , Reut Tsarfaty

Topics

Natural Language Processing > Understanding > Parsing Interdisciplinary > Linguistics > Morphology

Keywords

dependency parsing morphologically rich language transition-based parser morphological disambiguation morphosyntactic parsing

Download PDF

Related papers

A Unified Neural Network Model for Geolocating Twitter Users 2018

Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? 2018

Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation 2018

Predefined Sparseness in Recurrent Sequence Models 2018

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit 2018