| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Chinese natural speech complex emotion dataset based on emotion vector annotation method
|
Wu, Xiaolong
|
|
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59 |
3 |
p. 3029-3050
|
artikel
|
| 2 |
A comparative analysis of encoder only and decoder only models in intent classification and sentiment analysis: navigating the trade-offs in model size and performance
|
Benayas, Alberto
|
|
|
59 |
3 |
p. 2007-2030
|
artikel
|
| 3 |
AMTCF: an advanced multimodal transformer and ConvNext fusion for contextualized fake news detection in digital landscape
|
Tufchi, Shivani
|
|
|
59 |
3 |
p. 2893-2927
|
artikel
|
| 4 |
A new evaluation method: evaluation data and metrics for Chinese grammatical error correction
|
Lin, Nankai
|
|
|
59 |
3 |
p. 2453-2468
|
artikel
|
| 5 |
An integrated framework for emotion and sentiment analysis in Tamil and Malayalam visual content
|
Prakash, V. Jothi
|
|
|
59 |
3 |
p. 2103-2141
|
artikel
|
| 6 |
ArmanEmo: a Persian dataset for text-based emotion detection
|
Mirzaee, Hossein
|
|
|
59 |
3 |
p. 2565-2587
|
artikel
|
| 7 |
Aspect-based multimodal sentiment analysis via employing visual-to-emotional-caption translation network using visual-caption pairs
|
Pandey, Ananya
|
|
|
59 |
3 |
p. 2945-2972
|
artikel
|
| 8 |
Attention and LoRA-based multimodal emotion detection system
|
Gorai, Joy
|
|
|
59 |
3 |
p. 2929-2944
|
artikel
|
| 9 |
Automatic readability assessment for sentences: neural, hybrid and large language models
|
Liu, Fengkai
|
|
|
59 |
3 |
p. 2265-2296
|
artikel
|
| 10 |
Benchmarking Hindi-to-English direct speech-to-speech translation with synthetic data
|
Gupta, Mahendra
|
|
|
59 |
3 |
p. 2613-2651
|
artikel
|
| 11 |
“But why??” Evaluation of user-suggested synonyms in the Thesaurus of Modern Slovene
|
Gapsa, Magdalena
|
|
|
59 |
3 |
p. 2531-2563
|
artikel
|
| 12 |
Correction to: Investigating droplet emission during speech interaction
|
Carbone, Francesca
|
|
|
59 |
3 |
p. 1955-1956
|
artikel
|
| 13 |
Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus
|
Murphy, Rachel M.
|
|
|
59 |
3 |
p. 2763-2779
|
artikel
|
| 14 |
Czech news dataset for semantic textual similarity
|
Sido, Jakub
|
|
|
59 |
3 |
p. 1989-2006
|
artikel
|
| 15 |
DeepMine-multi-TTS: a Persian speech corpus for multi-speaker text-to-speech
|
Adibian, Majid
|
|
|
59 |
3 |
p. 2245-2264
|
artikel
|
| 16 |
DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers
|
Pérez, Anxo
|
|
|
59 |
3 |
p. 2737-2762
|
artikel
|
| 17 |
Detecting caste and migration hate speech in low-resource Tamil language
|
Chakravarthi, Bharathi Raja
|
|
|
59 |
3 |
p. 3051-3086
|
artikel
|
| 18 |
Detection of political hate speech in Korean language
|
Ryu, Hyo-sun
|
|
|
59 |
3 |
p. 1957-1988
|
artikel
|
| 19 |
Detoxifying language model outputs: combining multi-agent debates and reinforcement learning for improved summarization
|
Mohan, G. Bharathi
|
|
|
59 |
3 |
p. 2705-2736
|
artikel
|
| 20 |
Disfluency annotated corpora for Indian English in technical domains
|
Mujadia, Vandan
|
|
|
59 |
3 |
p. 1833-1864
|
artikel
|
| 21 |
Disfluency processing for cascaded speech translation involving English and Indian languages
|
Mujadia, Vandan
|
|
|
59 |
3 |
p. 2653-2686
|
artikel
|
| 22 |
Error annotation: a review and faceted taxonomy
|
Eryiğit, Gülşen
|
|
|
59 |
3 |
p. 3385-3409
|
artikel
|
| 23 |
Evaluation of end-to-end continuous spanish lipreading in different data conditions
|
Gimeno-Gómez, David
|
|
|
59 |
3 |
p. 2365-2386
|
artikel
|
| 24 |
Evaluation of the morphological rules for the Tenyidie language: a low-resource language
|
Angami, Teisovi
|
|
|
59 |
3 |
p. 3189-3214
|
artikel
|
| 25 |
Exploring lexical factors in semantic annotation: insights from the classification of nouns in French
|
Barque, Lucie
|
|
|
59 |
3 |
p. 2143-2167
|
artikel
|
| 26 |
Fake news article detection datasets for Hindi language
|
Kumar, Sujit
|
|
|
59 |
3 |
p. 3153-3188
|
artikel
|
| 27 |
HASTIKA: hate speech and target identification in Kannada-English code-mixed text
|
Kavatagi, Sanjana
|
|
|
59 |
3 |
p. 2811-2856
|
artikel
|
| 28 |
Human–machine interaction in building an English reference dataset for natural language processing tasks
|
Žitko, Branko
|
|
|
59 |
3 |
p. 2781-2809
|
artikel
|
| 29 |
Improving irony speech spreaders profiling on social networks using clustering & transformer based models
|
Hazrati, Leila
|
|
|
59 |
3 |
p. 2297-2327
|
artikel
|
| 30 |
Introducing a Swahili social media sentiment analysis dataset for the telecom industry
|
Tunga, Mahadia
|
|
|
59 |
3 |
p. 2169-2184
|
artikel
|
| 31 |
Investigating droplet emission during speech interaction
|
Carbone, Francesca
|
|
|
59 |
3 |
p. 1925-1953
|
artikel
|
| 32 |
kidsNARRATE: a versatile corpus for studying Chinese-english bilingual L2 narrative skills in preschoolers
|
Hung, Hiu Ching
|
|
|
59 |
3 |
p. 3117-3138
|
artikel
|
| 33 |
MedicalCare: building and annotating an empathy-rich corpus
|
Sun, Yinglun
|
|
|
59 |
3 |
p. 2329-2364
|
artikel
|
| 34 |
MEMD-ABSA: a multi-element multi-domain dataset for aspect-based sentiment analysis
|
Cai, Hongjie
|
|
|
59 |
3 |
p. 2501-2529
|
artikel
|
| 35 |
MulCogBench: a multi-modal cognitive benchmark dataset for evaluating Chinese and English computational language models
|
Zhang, Yunhao
|
|
|
59 |
3 |
p. 3005-3028
|
artikel
|
| 36 |
Multi-task learning for multi-dialect Arabic sentiment classification and sarcasm detection
|
Barmati, Mohammed Elsadiq
|
|
|
59 |
3 |
p. 2589-2612
|
artikel
|
| 37 |
Myanmar XNLI: building a dataset and exploring low-resource approaches to natural language inference with Myanmar
|
Htet, Aung Kyaw
|
|
|
59 |
3 |
p. 3267-3310
|
artikel
|
| 38 |
Ngalawan Ujaran Sengit: hate speech detection in indonesian code-mixed social media data
|
Pamungkas, Endang Wahyu
|
|
|
59 |
3 |
p. 2387-2414
|
artikel
|
| 39 |
ParlaMint II: advancing comparable parliamentary corpora across Europe
|
Erjavec, Tomaž
|
|
|
59 |
3 |
p. 2071-2102
|
artikel
|
| 40 |
PinLID: a dataset for Pinglish language identiftcation based on code-mixing sentence on unstructured resources
|
Ghafouri, Arash
|
|
|
59 |
3 |
p. 3215-3241
|
artikel
|
| 41 |
POS tagging of low-resource Pashto language: annotated corpus and BERT-based model
|
Haq, Ijazul
|
|
|
59 |
3 |
p. 3243-3265
|
artikel
|
| 42 |
PropitterX: a Twitter-based propaganda corpus extended with multiple contextual features
|
Casavantes, Marco
|
|
|
59 |
3 |
p. 3087-3115
|
artikel
|
| 43 |
Sanitization of septic news sentences through hybrid approach in English
|
Das, Soma
|
|
|
59 |
3 |
p. 1865-1897
|
artikel
|
| 44 |
Semantic processing for Urdu: corpus creation, parsing, and generation
|
Amin, Muhammad Saad
|
|
|
59 |
3 |
p. 2469-2500
|
artikel
|
| 45 |
Sentiment analysis in low-resource contexts: BERT’s impact on Central Kurdish
|
Awlla, Kozhin Muhealddin
|
|
|
59 |
3 |
p. 2213-2243
|
artikel
|
| 46 |
Stereohoax: a multilingual corpus of racial hoaxes and social media reactions annotated for stereotypes
|
Schmeisser-Nieto, Wolfgang S.
|
|
|
59 |
3 |
p. 2031-2069
|
artikel
|
| 47 |
Strategies for managing time and costs in speech corpus creation: insights from the Slovenian ARTUR corpus
|
Verdonik, Darinka
|
|
|
59 |
3 |
p. 1899-1924
|
artikel
|
| 48 |
The Knesset corpus: an annotated corpus of Hebrew parliamentary proceedings
|
Goldin, Gili
|
|
|
59 |
3 |
p. 2973-3004
|
artikel
|
| 49 |
The Mandarin Chinese speech database: a corpus of 18,820 auditory neutral nonsense sentences
|
Zhou, Anqi
|
|
|
59 |
3 |
p. 3341-3352
|
artikel
|
| 50 |
The narratives of war (NoW) corpus of written testimonies of the Russia-Ukraine war
|
Zasiekin, Serhii
|
|
|
59 |
3 |
p. 2415-2426
|
artikel
|
| 51 |
Towards neural named entity recognition system in Tigrinya with large-scale dataset
|
Berhane, Sham K.
|
|
|
59 |
3 |
p. 3311-3339
|
artikel
|
| 52 |
Tropes and the EmotAix lexicon for evaluating the emotional tonality of French verbal association corpora in social representation studies
|
Moliner, Pascal
|
|
|
59 |
3 |
p. 2687-2703
|
artikel
|
| 53 |
UFLA-FORMS: an academic forms dataset for information extraction in the Portuguese language
|
Gonçalves Lima, Victor
|
|
|
59 |
3 |
p. 2185-2211
|
artikel
|
| 54 |
Umplc: the first longitudinal learner corpus of Portuguese
|
You, Mu
|
|
|
59 |
3 |
p. 3353-3372
|
artikel
|
| 55 |
UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels
|
Du, Quanqi
|
|
|
59 |
3 |
p. 2857-2892
|
artikel
|
| 56 |
Using contrastive language-image pre-training for Thai recipe recommendation
|
Chuenbanluesuk, Thanatkorn
|
|
|
59 |
3 |
p. 3373-3383
|
artikel
|
| 57 |
Utilizing phonetic similarity for cross-source and cross-language toponym matching: a benchmark and prototype
|
Sagi, Tomer
|
|
|
59 |
3 |
p. 2427-2451
|
artikel
|
| 58 |
Uzbek news corpus for named entity recognition
|
Yusufu, Aizihaierjiang
|
|
|
59 |
3 |
p. 3139-3152
|
artikel
|
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