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Learning language variations in news corpora through differential embeddings
CarlosSelmo, JulianF.Martinez, MarianoG.Beiró....
Published date-11/13/2020
WordEmbeddings
There is an increasing interest in the NLP community in capturing variations in the usage of language, either through time (i.e., semantic drift), across regions (as dialects or variants) or …
Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic
NiloPedrazzini....
Published date-11/12/2020
DependencyParsing, Part-Of-SpeechTagging
This paper explores the possibility of improving the performance of specialized parsers for pre-modern Slavic by training them on data from different related varieties. Because of their linguistic heterogeneity, pre-modern …
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
ZheweiHuang, TianyuanZhang, WenHeng....
Published date-11/12/2020
VideoFrameInterpolation
We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video Frame Interpolation (VFI). Most existing methods first estimate the bi-directional optical flows and then linearly combine them to approximate …
tvopt: A Python Framework for Time-Varying Optimization
NicolaBastianello....
Published date-11/12/2020
This paper introduces tvopt, a Python framework for prototyping and benchmarking time-varying (or online) optimization algorithms. The paper first describes the theoretical approach that informed the development of tvopt. Then …
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
XiangKong, ZhisongZhang, EduardHovy....
Published date-11/12/2020
MachineTranslation
In this work, we introduce a novel local autoregressive translation (LAT) mechanism into non-autoregressive translation (NAT) models so as to capture local dependencies among tar-get outputs. Specifically, for each target …
Analyzing Neural Discourse Coherence Models
YoumnaFarag, JosefValvoda, HelenYannakoudakis....
Published date-11/12/2020
In this work, we systematically investigate how well current models of coherence can capture aspects of text implicated in discourse organisation. We devise two datasets of various linguistic alterations that …