Search Results for author: Amit Seker

Found 7 papers, 1 papers with code

A Pointer Network Architecture for Joint Morphological Segmentation and Tagging

no code implementations Findings of the Association for Computational Linguistics 2020 Amit Seker, Reut Tsarfaty

Neural MD may be addressed as a simple pipeline, where segmentation is followed by sequence tagging, or as an end-to-end model, predicting morphemes from raw tokens.

Morphological Disambiguation

From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?

no code implementations ACL 2020 Reut Tsarfaty, Dan Bareket, Stav Klein, Amit Seker

It has been exactly a decade since the first establishment of SPMRL, a research initiative unifying multiple research efforts to address the peculiar challenges of Statistical Parsing for Morphologically-Rich Languages (MRLs). Here we reflect on parsing MRLs in that decade, highlight the solutions and lessons learned for the architectural, modeling and lexical challenges in the pre-neural era, and argue that similar challenges re-emerge in neural architectures for MRLs.

What's Wrong with Hebrew NLP? And How to Make it Right

no code implementations IJCNLP 2019 Reut Tsarfaty, Amit Seker, Shoval Sadde, Stav Klein

For languages with simple morphology, such as English, automatic annotation pipelines such as spaCy or Stanford's CoreNLP successfully serve projects in academia and the industry.

Morphological Disambiguation

The Hebrew Universal Dependency Treebank: Past Present and Future

no code implementations WS 2018 Shoval Sade, Amit Seker, Reut Tsarfaty

The Hebrew treebank (HTB), consisting of 6221 morpho-syntactically annotated newspaper sentences, has been the only resource for training and validating statistical parsers and taggers for Hebrew, for almost two decades now.

Dependency Parsing

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

no code implementations CONLL 2018 Amit Seker, Amir More, Reut Tsarfaty

We present the contribution of the ONLP lab at the Open University of Israel to the UD shared task on multilingual parsing from raw text to Universal Dependencies.

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