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Found 29 papers, 2 papers with code
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images
In this paper, we present a novel method to simulate LiDAR point cloud with faster rendering time of 1 sec per frame.
Refined Continuous Control of DDPG Actors via Parametrised Activation
In this paper, we propose enhancing actor-critic reinforcement learning agents by parameterising the final actor layer which produces the actions in order to accommodate the behaviour discrepancy of different actuators, under different load conditions during interaction with the environment.
POS Tagging for Improving Code-Switching Identification in Arabic
When speakers code-switch between their native language and a second language or language variant, they follow a syntactic pattern where words and phrases from the embedded language are inserted into the matrix language.
QC-GO Submission for MADAR Shared Task: Arabic Fine-Grained Dialect Identification
This paper describes the QC-GO team submission to the MADAR Shared Task Subtask 1 (travel domain dialect identification) and Subtask 2 (Twitter user location identification).
Segmentation for Domain Adaptation in Arabic
Segmentation serves as an integral part in many NLP applications including Machine Translation, Parsing, and Information Retrieval.
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data
We have evaluated the performance of our proposed framework on the task of vehicle detection from a bird's eye view (BEV) point cloud images coming from real 3D LiDAR sensors.
Ranked #2 on
Unsupervised Domain Adaptation
on PreSIL to KITTI
Diacritization of Maghrebi Arabic Sub-Dialects
Diacritization process attempt to restore the short vowels in Arabic written text; which typically are omitted.
GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks
This paper describes our system submission to the CALCS 2018 shared task on named entity recognition on code-switched data for the language variant pair of Modern Standard Arabic and Egyptian dialectal Arabic.
GHH at SemEval-2018 Task 10: Discovering Discriminative Attributes in Distributional Semantics
This paper describes our system submission to the SemEval 2018 Task 10 on Capturing Discriminative Attributes.
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval.
Ranked #1 on
Sentiment Analysis
on DynaSent
(using extra training data)
Learning from Relatives: Unified Dialectal Arabic Segmentation
Arabic dialects do not just share a common koin{\'e}, but there are shared pan-dialectal linguistic phenomena that allow computational models for dialects to learn from each other.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
A Neural Architecture for Dialectal Arabic Segmentation
The automated processing of Arabic Dialects is challenging due to the lack of spelling standards and to the scarcity of annotated data and resources in general.
The Power of Language Music: Arabic Lemmatization through Patterns
The interaction between roots and patterns in Arabic has intrigued lexicographers and morphologists for centuries.
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings
The evaluation results of our system on the test set is 88. 1{\%} (79. 0{\%} for TRUE only) f-measure for Task-1 on detecting semantic similarity, and 76. 0{\%} (42. 3{\%} when excluding RANDOM) for Task-2 on identifying finer-grained semantic relations.
Explicit Fine grained Syntactic and Semantic Annotation of the Idafa Construction in Arabic
Identifying the various types of the Idafa construction (IC) is of importance to Natural Language processing (NLP) applications.
Tharwa: A Large Scale Dialectal Arabic - Standard Arabic - English Lexicon
Multiple levels of quality checks are performed on the output of each step in the creation process.
Automatic Extraction and Evaluation of Arabic LFG Resources
We utilize this annotation to automatically acquire grammatical function (dependency) based subcategorization frames and paths linking long-distance dependencies (LDDs).
Arabic Word Generation and Modelling for Spell Checking
Furthermore, from a large list of valid forms and invalid forms we create a character-based tri-gram language model to approximate knowledge about permissible character clusters in Arabic, creating a novel method for detecting spelling errors.
