Matej Martinc

Orcid: 0000-0002-7384-8112

According to our database1, Matej Martinc authored at least 41 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Multi-Task Learning for Features Extraction in Financial Annual Reports.
CoRR, 2024

Semantic change detection for Slovene language: a novel dataset and an approach based on optimal transport.
CoRR, 2024

2023
The Recent Advances in Automatic Term Extraction: A survey.
CoRR, 2023

2022
TNT-KID: Transformer-based neural tagger for keyword identification.
Nat. Lang. Eng., 2022

A bilingual approach to specialised adjectives through word embeddings in the karstology domain.
CoRR, 2022

JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Multi-task Learning for Features Extraction in Financial Annual Reports.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Effectiveness of Data Augmentation and Pretraining for Improving Neural Headline Generation in Low-Resource Settings.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Embeddings models for Buddhist Sanskrit.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Ensembling Transformers for Cross-domain Automatic Term Extraction.
Proceedings of the From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries, 2022

Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification.
Mach. Learn., 2021

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.
Comput. Speech Lang., 2021

Supervised and Unsupervised Neural Approaches to Text Readability.
Comput. Linguistics, 2021

Scalable and Interpretable Semantic Change Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

Extending Neural Keyword Extraction with TF-IDF tagset matching.
Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, 2021

2020
Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach.
New Gener. Comput., 2020

Reproduction, replication, analysis and adaptation of a term alignment approach.
Lang. Resour. Evaluation, 2020

Capturing Evolution in Word Usage: Just Add More Clusters?
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Tackling the ADReSS Challenge: A Multimodal Approach to the Automated Recognition of Alzheimer's Dementia.
Proceedings of the Interspeech 2020, 2020

Bisociative Literature-Based Discovery: Lessons Learned and New Prospects.
Proceedings of the Eleventh International Conference on Computational Creativity, 2020

COVID-19 Therapy Target Discovery with Context-Aware Literature Mining.
Proceedings of the Discovery Science - 23rd International Conference, 2020

Natural Language Processing for Literary Text Analysis: Word-Embeddings-Based Analysis of Zofka Kveder's Work.
DHandNLP@PROPOR, 2020

Mining Semantic Relations from Comparable Corpora through Intersections of Word Embeddings.
Proceedings of the 13th Workshop on Building and Using Comparable Corpora, 2020

2019
Combining n-grams and deep convolutional features for language variety classification.
Nat. Lang. Eng., 2019

Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Pooled LSTM for Dutch Cross-genre Gender Classification.
Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), 2019

Fake or Not: Distinguishing between Bots, Males and Females.
Proceedings of the Working Notes of CLEF 2019, 2019

Who is Hot and Who is Not? Profiling Celebs on Twitter.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
Towards Creative Software Blending: Computational Infrastructure and Use Cases.
Informatica (Slovenia), 2018

Reusable workflows for gender prediction.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

BISLON: BISociative SLOgaN generation based on stylistic literary devices.
Proceedings of the Ninth International Conference on Computational Creativity, 2018

Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018.
Proceedings of the Working Notes of CLEF 2018, 2018

Er ... well, it matters, right? On the role of data representations in spoken language dependency parsing.
Proceedings of the Second Workshop on Universal Dependencies, 2018

2017
PAN 2017: Author Profiling - Gender and Language Variety Prediction.
Proceedings of the Working Notes of CLEF 2017, 2017


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