Kalibrasi Rasio kemungkinan pada Sistem Rekognisi Pengucap Otomatis untuk Aplikasi Forensik di Indonesia by Miranti Indar Mandasari, Angga Dwi Firmanto, Fadjar Fathurrahman

Get full text

Perkembangan Part-of-Speech Tagger Bahasa Indonesia by Mia Kamayani

Get full text

Exploiting semantic information for HPSG parse selection by Fujita, Sanae, Bond, Francis, Oepen, Stephan, Tanaka, Takaaki

Get full text
Get full text
Get full text

Using an ontology to determine English countability by Bond, Francis, Caitlin, Vatikiotis-Bateson

Get full text
Get full text

Restoring ancient text using deep learning: a case study on Greek epigraphy by Assael, Y, Sommerschield, T, Prag, J

Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints by Rohanian, O, Jauncey, H, Nouriborji, M, Chauhan, VK, Gonçalves, BP, Kartsonaki, C, Merson, L, Clifton, D

Knowledge base completion meets transfer learning by Kocijan, V, Lukasiewicz, T

Resolving Citation Links With Neural Networks by Tadashi Nomoto

“…Experiments are conducted using three datasets developed by the CL-SciSumm project from a large repository of scientific papers in the Association for Computational Linguistics (ACL) repository. The results find that NNs are extremely susceptible to how the input is represented: they perform better on inputs expressed in binary format than on those encoded using the TFIDF metric or neural embeddings of specific kinds. …”
Get full text

Social media text analytics of Malayalam–English code-mixed using deep learning by S. Thara, Prabaharan Poornachandran

“…The proffered framework addresses 3 key points apropos these tasks—dependencies among features created by embedding methods (Word2Vec and FastText), comparative analysis of deep learning algorithms (uni-/bi-directional models, hybrid models, and transformer approaches), relevance of selective translation and transliteration and hyper-parameter optimization—which ensued in F1-Scores (model’s accuracy) of 0.76 for Forum for Information Retrieval Evaluation (FIRE) 2020 and 0.99 for European Chapter of the Association for Computational Linguistics (EACL) 2021 data sets. A detailed error analysis was also done to give meaningful insights. …”
Get full text

Pembobotan Kata berdasarkan Kluster untuk Peringkasan Otomatis Multi Dokumen by Lukman Hakim, Fadli Husein Wattiheluw, Agus Zainal Arifin, Aminul Wahib

Get full text

Pencarian Potongan Ayat Al-Qur’an dengan Perbedaan Bunyi pada Tanda Berhenti Berdasarkan Kemiripan Fonetis by Naufal Rasyad, Moch. Arif Bijaksana, Kemas Muslim Lhaksmana

Get full text

Pembobotan Kata berdasarkan Kluster untuk Peringkasan Otomatis Multi Dokumen by Fatra Nonggala Putra, Ari Effendi, Agus Zainal Arifin

Get full text

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications by Dangovski, Rumen, Jing, Li, Nakov, Preslav, Tatalović, Mićo, Soljačić, Marin

Get full text

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks by Dernoncourt, Franck, Lee, Ji Young, Szolovits, Peter

Get full text

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks by Dernoncourt, Franck, Lee, Ji Young, Szolovits, Peter

Get full text

Word Embeddings as Metric Recovery in Semantic Spaces by Hashimoto, Tatsunori B, Alvarez-Melis, David, Jaakkola, Tommi S

Get full text

Hierarchical neural networks for sequential sentence classification in medical scientific abstracts by Jin, Di, Szolovits, Peter

“…© 2018 Association for Computational Linguistics Prevalent models based on artificial neural network (ANN) for sentence classification often classify sentences in isolation without considering the context in which sentences appear. …”
Get full text

The materials science procedural text corpus: Annotating materials synthesis procedures with shallow semantic structures

“…© 2019 Association for Computational Linguistics Materials science literature contains millions of materials synthesis procedures described in unstructured natural language text. …”
Get full text

Measuring Social Biases in Grounded Vision and Language Embeddings by Ross, Candace, Barbu, Andrei, Katz, Boris

Get full text

The prevalence of descriptive referring expressions in news and narrative by Hervaś, Raquel, Finlayson, Mark Alan

Get full text
Get full text