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Human Language Technologies as a Challenge for Computer Science and Linguistics – 2023

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Platforma: Wydawnictwo Naukowe UAM

Monografia wpisuje się w działalność wspierającą rozwój technologii językowych w obliczu nowych wyzwań w świecie naznaczonym pandemią COVID-19, wojnami w Europie, masowymi migracjami i klęskami żywiołowymi na skalę niespotykaną od wielu lat.

W tomie zaprezentowano wypowiedzi 186 autorów z ponad 20 krajów z Afryki, Azji, Australii, Europy i Ameryki Północnej. Ich tematyka obejmuje duży obszar technologii językowych i dziedzin pokrewnych.

List of Reviewers

Preaface by Zygmunt Vetulani and Patrick Paroubek

Nilufar Abdurakhmonova, Alisher Ismailov and Rano Sayfullaeva / Turkic language stemmer python package for Natural Language Processing

Jolanta Bachan, Marek Kubis, Natalia Maria Łozińska and Marta Kunegunda Witkowska / Towards analysis of hegemonic masculinity in the dialogues of Polish novels

Françoise Bacquelaine / DeepL and Google Translate Translating Portuguese Multi-Word Units into French: Progress, Decline and Remaining Challenges (2019-2023)

Brigitte Bigi / An analysis of produced versus predicted French Cued Speech keys

Lynne Bowker / Combining plain language and machine translation for science communication

Alexandra Ciobotaru, Diana Constantina Hoefels and Stefan Daniel Dumitrescu / Emotion Signals for Sexist and Offensive Language Detection: A Multi-task Learning Approach

Grażyna Demenko, Paweł Skórzewski, Tomasz Kuczmarski and Mikołaj Pieniowski / Linguistic Information Extraction from Text-based Web to Discover Criminal Activity

Matthew Eget, Xuchen Yang and Yves Lepage / A Study in the Generation of Multilingually Parallel Middle Sentences

Iris Eshkol-Taravella, Angèle Barbedette, Xingyu Liu and Valentin-Gabriel Soumah / Automatic Classification of Spontaneous vs Prepared Questions in Speech Transcriptions

Bojan Evkoski and Senja Pollak / XAI in Computational Linguistics - Understanding Political Leanings in the Slovenian Parliament

Swapnil Fadte, Edna Vaz, Atul Kr Ojha, Ramdas Karmali and Jyoti Pawar / Empirical Analysis of Oral and Nasal Vowels of Konkani

Rashel Fam and Yves Lepage / Investigating parallelograms: Assessing several word embedding spaces against various analogy test sets in several languages using approximation

Ewelina Gajewska and Barbara Konat / Text Classification for Subjective Phenomena on Disaggregated Data and Rater Behaviour

Thomas Gerald, Sofiane Ettayeb, Louis Tamames, Ha Quang Le, Patrick Paroubek and Anne Vilnat / A new approach to generate teacher-like questions guided by text spans extraction

Monika Grajzer, Mikołaj Pabiszczak, Agnieszka Bętkowska Cavalcante and Michał Raszewski / A Voice-Based Neural Network System for Accessing Embedded Home Automation Devices

Ryo Hashimoto, Masashi Takeshita, Rafal Rzepka and Kenji Araki / Development of Japanese WSC273 Winograd Schema Challenge Dataset and Comparison between Japanese and English BERT Baselines

Friederike Hohl and Bettina Braun / Using amplitude envelope modulation spectra to capture differences between rhetorical and information-seeking questions

Irina Illina and Dominique Fohr / Semantic Information Investigation for Transformer-based Rescoring of N-best Speech Recognition

Balázs Indig and Dániel Lévai / I’m Smarter than the Average BERT! – Testing Language Models Against Humans in a Word Guessing Game

Balázs Indig and Tímea Borbála Bajzát / Bags and Mosaics: Semi-automatic Identification of Auxiliary Verbal Constructions for Agglutinative Languages

Patrick Juola / Stylometry: a Need for Standard

Olha Kanishcheva / ASSETUK: a Dataset for Ukrainian Text Simplification

Oleg Kapanadze, Nunu Kapanadze, Gideon Kotzé and Natia Putkaradze / Unsupervised Syntactic Analysis of the Georgian Language Clause

Irakli Kardava / Optimizations of Some Well-Known NLP Algorithms

Maciej Karpinski, Ewa Jarmolowicz-Nowikow, Katarzyna Klessa, Janusz Taborek and Michał Piosik / DARIAH. PL MultiCo Multimodal Corpus

Elmurod Kuriyozov, Ulugbek Salaev, Sanatbek Matlatipov and Gayrat Matlatipov / Text classification dataset and analysis for Uzbek language

Tiziano Labruna and Bernardo Magnini / Simulating Domain Changes in Task-oriented Dialogues

Koena Ronny Mabokela, Tim Schlippe, Mpho Raborife and Turgay Celik / Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana

Khabibulla Madatov, Sanatbek Matlatipov and Mersaid Aripov / Uzbek text’s correspondence with the educational potential of pupils: a case study of the School corpus

Khabibulla Madatov, Shukurla Bekchanov and Jernej Vičič / Uzbek text summarization based on TF-IDF

Margot Madina, Itziar Gonzalez-Dios and Melanie Siegel / Easy-to-Read in Germany: a Survey on its Current State and Available Resources

Tanjim Mahmud, Michal Ptaszynski and Fumito Masui / Vulgar Remarks Detection in Chittagonian Dialect of Bangla

Madina Mansurova, Nurgali Kadyrbek and Talshyn Sarsembayeva / Aspect Based Sentiment Analysis by Morphological Features of The Kazakh Language

Hansjörg Mixdorff and Roberto Togneri / Evaluation of Foreign Accent Prosody in L2 English Using CNNs

Emese K Molnár and Andrea Dömötör / Experiments on error detection in morphological annotation

Jürgen Neyer, Sassan Gholiagha and Mitja Sienknecht / Do Arguments Migrate? Using NLP for Understanding Academia

Ata Nizamoglu, Lea Dahm, Talia Sari, Vera Schmitt, Salar Mohtaj and Sebastian Möller / A Transfer Learning Approach for SDGs Classification of Sustainability Reports

Nor Saiful Azam Bin Nor Azmi, Michal Ptaszynski, Juuso Eronen, Karol Nowakowski and Fumito Masui / Token and Part-of-Speech Fusion for Pretraining of Transformers with Application in Automatic Cyberbullying Detection

Anouar Nouri, Salar Mohtaj, Sebastian Möller and Tilman Lesch / A Comparative Study of Claim Extraction Techniques Leveraging Transformer-based Pre-Trained Models

Jędrzej Osiński and Daniel Rimoli / User Experience aspects of the WordNet-based digital asset search enhancement

Moumita Pakrashi, Brigitte Bigi and Shakuntala Mahanta / Resources Creation of Bengali for SPPAS

Marco Palomino, Rohan Allen and Aditya Padmanabhan Varma / Depression in the Times of COVID-19: A Machine Learning Analysis Based on the Profile of Mood States

Paweł Paściak, Danijel Koržinek and Dariusz Czerski / Self-supervised Domain Adaptation of Statistical Language Models for Automatic Speech Recognition

Mariia Razno / Comparative Analysis Of Speech-To-Text Systems For Ukrainian Dialects

Aleksandra Rewerska and Antonina Świdurska / RPGs: small-scale register analysis using the taxonomy of discourse units

Aleksandra Rykowska and Konrad Juszczyk / SylLab: program for automatic sentiment analysis of poetry based on frequencies of phonetic units

Rafal Rzepka, Shinji Muraji and Akihiko Obayashi / Utilizing Wikipedia for Retrieving Synonyms of Trade Security-related Technical Terms

Felix Schneider, Sven Sickert, Phillip Brandes, Sophie Marshall and Joachim Denzler / Hard is the Task, the Samples are Few: A German Chiasmus Dataset

Emre Sevindik, Elif Ergin, Kübra Erat, Pınar Onay Durdu / Artificial Neural Networks based Baby Sign Language Recognition via Wearable Sensors

Maksud Sharipov, Elmurod Kuriyozov, Ollabergan Yuldashev and Og‘abek Sobirov / UzbekTagger: The rulebased POS tagger for Uzbek language

Nomsa Skosana, Respect Mlambo and Muzi Matfunjwa / Strategies for creating corpora and language resources for under-resourced South African indigenous languages

Joanna Szwoch, Mateusz Staszkow, Rafal Rzepka and Kenji Araki / Sentiment Analysis of Polish Online News Covering Controversial Topics – Comparison Between Lexicon and Statistical Approaches

Ilija Tavchioski, Marko Robnik-Šikonja and Senja Pollak / Detection of depression on social networks using transformers and ensembles

Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Krasteva / New Bulgarian Resources for Studying Deception and Detecting Disinformation

Gaurish Thakkar, Nives Mikelic Preradović and Marko Tadić / CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus

Ualsher Tukeyev, Gulstan Akhmet, Nargiza Gabdullina, Aliya Turganbayeva and Tolganai Balabekova / Kazakh-Uzbek Machine Translation on the Base of Complete Set of Endings Model

Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy and Radhika Mamidi / IndicSumm: Summarization Resource Creation for Eight Indian Languages

Zygmunt Vetulani and Peter Odrakiewicz / Challenges and a New Paradigm Frontier of Human Language Technology Applications in Business Management, Business Communication in Organizations and Society

Lu Wang, Michal Ptaszynski, Pawel Dybala, Yuki Urabe, Rafal Rzepka and Fumito Masui / Improving Performance of Affect Analysis System by Expanding Affect Lexicon

Yaling Wang, Bartholomäus Wloka and Yves Lepage / Translation Memory Principle in Neural Machine Translation: A Multilingual and Multidirectional Comparison

Liyan Wang, Zhicheng Pan, Haotong Wang, Xinbo Zhao and Yves Lepage / Solving Sentence Analogies by Using Embedding Spaces Combined with a Vector-to-Sequence Decoder or by Fine-Tuning Pre-trained Language Models

Yizhe Wang, Béatrice Daille and Nabil Hathout / Exploring synonymy relation between\\multi-word terms in distributional semantic models

Liang Xu, Elaine Ui Dhonnchadha and Monica Ward / Exploring the Synergies between Technology and Socio-Cultural Approaches in CALL for Less Commonly Taught languages

Nicolas Zampieri, Irina Illina and Dominique Fohr / Improving Hate Speech Detection with Self-Attention Mechanism and Multi-task Learning

Yiyang Zhang, Masashi Takeshita, Rafal Rzepka and Kenji Araki / Utilizing BERT with Auxiliary Sentences Generation to Improve Accuracy of Japanese Aspect-based Sentiment Analysis Task

Andrzej Zydroń, Rafał Jaworski and Szymon Kaczmarek / Large Language Models and the future of the Localization

Industry

Author index

The monograph is a part of activity of fostering sound development of language technologies aiming at facing new challenges in the world marked by the COVID-19 pandemic, wars in Europe, mass migrations and natural disasters at the scale not seen since many years.

In the volume are presented contributions by 186 authors from more than 20 countries from Africa, Asia, Australia, Europe and North America. The contributions to this book cover large area of language technologies and related fields.

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Informacje szczegółowe
Wersja publikacji e-book, otwarty dostęp
Język angielski
Tytuł (EN) Human Language Technologies as a Challenge for Computer Science and Linguistics – 2023
Typ publikacji Monografia
Wydanie I
ISBN 978-83-232-4177-5 (PDF)
DOI 10.14746/amup.9788323241775
Liczba stron 358
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