Food-Related Sentiment Analysis for Cantonese

no code implementations • PACLIC 2018 • Natalia Klyueva, Yunfei Long, Chu-Ren Huang, Qin Lu

Sentiment Analysis

PolyU\_CBS-CFA at the FinSBD Task: Sentence Boundary Detection of Financial Data with Domain Knowledge Enhancement and Bilingual Training

no code implementations • WS 2019 • Mingyu Wan, Rong Xiang, Emmanuele Chersoni, Natalia Klyueva, Kathleen Ahrens, Bin Miao, David Broadstock, Jian Kang, Amos Yung, Chu-Ren Huang

Boundary Detection Sentence

A Report on the Third VarDial Evaluation Campaign

no code implementations • WS 2019 • Marcos Zampieri, Shervin Malmasi, Yves Scherrer, Tanja Samard{\v{z}}i{\'c}, Francis Tyers, Miikka Silfverberg, Natalia Klyueva, Tung-Le Pan, Chu-Ren Huang, Radu Tudor Ionescu, Andrei M. Butnaru, Tommi Jauhiainen

In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of the sixth edition of the workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with NAACL 2019.

Dialect Identification Morphological Analysis

Improving a Neural-based Tagger for Multiword Expressions Identification

no code implementations • LREC 2018 • Du{\v{s}}an Vari{\v{s}}, Natalia Klyueva

Dependency Parsing Machine Translation

Annotating Chinese Light Verb Constructions according to PARSEME guidelines

no code implementations • LREC 2018 • Menghan Jiang, Natalia Klyueva, Hongzhi Xu, Chu-Ren Huang

Machine Translation

Neural Networks for Multi-Word Expression Detection

no code implementations • WS 2017 • Natalia Klyueva, Antoine Doucet, Milan Straka

In this paper we describe the MUMULS system that participated to the 2017 shared task on automatic identification of verbal multiword expressions (VMWEs).

Machine Translation

Querying Multi-word Expressions Annotation with CQL

no code implementations • WS 2017 • Natalia Klyueva, Anna Vernerov{\'a}, Behrang Qasemizadeh

Machine Translation

Incorporation of a valency lexicon into a TectoMT pipeline

no code implementations • WS 2016 • Natalia Klyueva, Vladislav Kubo{\v{n}}

Machine Translation

Improving corpus search via parsing

no code implementations • LREC 2016 • Natalia Klyueva, Pavel Stra{\v{n}}{\'a}k

In this paper, we describe an addition to the corpus query system Kontext that enables to enhance the search using syntactic attributes in addition to the existing features, mainly lemmas and morphological categories.