---
title: "Who cites Enriching Word Vectors with Subword Information…"
description: "2,218 papers of the Elamur Research library cite «Enriching Word Vectors with Subword Information», found in their bibliographies · page 2 of 2 · 101–157…"
canonical: "https://research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Enriching Word Vectors with Subword Information](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/) / [cited by](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/) / page 2

# Who cites «Enriching Word Vectors with Subword Information»

2,218 papers of our library cite it (of the 140,884 whose bibliographies we read) · 157 with a page here, the most cited first · page 2 of 2 · 101–157 · [← the paper](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/)

[← prev](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/) **2**

101. [**Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts**Henry Y. Chen, Ethan Zhou, Jinho D. Choi*2017 · 46 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-robust-coreference-resolution-entity-linking/)
102. [**Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging**Nasser Zalmout, Nizar Habash*2020 · 44 citations*](https://md.research.elamur.ai/free/en/papers/zalmout-2020-joint-diacritization-lemmatization-normalization-fine/)
103. [**Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs**Nicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/boizard-2024-towards-cross-tokenizer-distillation-universal/)
104. [**Neural Modeling for Named Entities and Morphology (NEMO2)**Dan Bareket, Reut Tsarfaty*2021 · 32 citations*](https://md.research.elamur.ai/free/en/papers/bareket-2021-neural-modeling-named-entities-morphology/)
105. [**C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection**Chenye Zhao, Yingjie Li, Cornelia Caragea*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-c-stance-large-dataset-chinese/)
106. [**A Multitask Learning Approach for Diacritic Restoration**Sawsan Alqahtani, Ajay Mishra, Mona Diab*2020 · 28 citations*](https://md.research.elamur.ai/free/en/papers/alqahtani-2020-multitask-learning-approach-diacritic-restoration/)
107. [**A New Direction in Stance Detection: Target-Stance Extraction in the Wild**Yingjie Li, Krishna Garg, Cornelia Caragea*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-new-direction-stance-detection-target/)
108. [**Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings**Pamela Shapiro, Kevin Duh*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)
109. [**Morphological Analysis and Disambiguation for Gulf Arabic: The Interplay between Resources and Methods**Salam Khalifa, Nasser Zalmout, Nizar Habash*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/khalifa-2020-morphological-analysis-disambiguation-gulf-arabic/)
110. [**Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction**Yova Kementchedjhieva, Mareike Hartmann, Anders Sgaard*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/kementchedjhieva-2019-lost-in-evaluation/)
111. [**A Pointer Network Architecture for Joint Morphological Segmentation and Tagging**Amit Seker, Reut Tsarfaty*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/seker-2020-pointer-network-architecture-joint-morphological/)
112. [**Deep Cross-Lingual Coreference Resolution for Less-Resourced Languages: The Case of Basque**Gorka Urbizu, Ander Soraluze, Olatz Arregi*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/urbizu-2019-deep-cross-lingual-coreference-resolution/)
113. [**Offensive Language Detection in Under-resourced Algerian Dialectal Arabic Language**Oussama Boucherit, Kheireddine Abainia*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/boucherit-2022-offensive-language-detection-under-resourced/)
114. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
115. [**GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection**Yue Yu, Yilun Zhu, Yang Liu, et al.*2019 · 18 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-gumdrop-disrpt2019-shared-task-model/)
116. [**Contextualized Embeddings for Connective Disambiguation in Shallow Discourse Parsing**René Knaebel, Manfred Stede*2020 · 15 citations*](https://md.research.elamur.ai/free/en/papers/knaebel-2020-contextualized-embeddings-connective-disambiguation-shallow/)
117. [**Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis**Abdullah I. Alharbi, Mark Lee*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/alharbi-2021-multi-task-learning-combination-contextualised/)
118. [**New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach**Andres Cremisini, Mark Finlayson*2020 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cremisini-2020-new-insights-into-cross-document/)
119. [**Integrating Predictions from Neural-Network Relation Classifiers into Coreference and Bridging Resolution**Ina Roesiger, Maximilian Köper, Kim Anh Nguyen, et al.*2018 · 13 citations*](https://md.research.elamur.ai/free/en/papers/roesiger-2018-integrating-predictions-neural-network-relation/)
120. [**Neural Coreference Resolution for Arabic**Abdulrahman Aloraini, Juntao Yu, Massimo Poesio*2020 · 12 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-neural-coreference-resolution-arabic/)
121. [**AMR-TST: Abstract Meaning Representation-based Text Style Transfer**Kaize Shi, Xueyao Sun, Li He, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-amr-tst-abstract-meaning-representation/)
122. [**Semantic properties of English nominal pluralization: Insights from word embeddings**Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shafaei-bajestan-2022-semantic-properties-english-nominal-pluralization/)
123. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/)
124. [**Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data**Fahad AlGhamdi, Mona Diab*2019 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/)
125. [**Anaphoric Zero Pronoun Identification: A Multilingual Approach**Abdulrahman Aloraini, Massimo Poesio*2020 · 10 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-anaphoric-zero-pronoun-identification-multilingual/)
126. [**Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks**Gor Arakelyan, Karen Hambardzumyan, Hrant Khachatrian*2018 · 10 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2018-jointud-part-speech-tagging-lemmatization/)
127. [**Ashaar: Automatic Analysis and Generation of Arabic Poetry Using Deep Learning Approaches**Zaid Alyafeai, Maged S. Al-Shaibani, Moataz Ahmed*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-ashaar-automatic-analysis-generation-arabic/)
128. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/)
129. [**A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions**Nasser A Alsadhan*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alsadhan-2025-novel-dialect-aware-framework-classification/)
130. [**Bilingual Rhetorical Structure Parsing with Large Parallel Annotations**Elena Chistova*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chistova-2024-bilingual-rhetorical-structure-parsing-large/)
131. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)
132. [**Challenging the Transformer-based models with a Classical Arabic dataset: Quran and Hadith**Shatha Altammami, Eric Atwell*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/altammami-2022-challenging-transformer-based-models-classical/)
133. [**Combining Context-Free and Contextualized Representations for Arabic Sarcasm Detection and Sentiment Identification**Amey Hengle, Atharva Kshirsagar, Shaily Desai, et al.*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hengle-2021-combining-context-free-contextualized-representations/)
134. [**Automating Dictionary Production: a Tagalog-English-Korean Dictionary from Scratch**Vít Baisa, Marek Blahuš, Michal Cukr, et al.*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/baisa-2019-automating-dictionary-production/)
135. [**Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings**Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, et al.*2019 · 6 citations*](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/)
136. [**Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/)
137. [**Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2025-arabic-multimodal-machine-learning-datasets/)
138. [**From Linguistics to Practice: a Case Study of Offensive Language Taxonomy in Hebrew**Chaya Liebeskind, Marina Litvak, Natalia Vanetik*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liebeskind-2024-linguistics-practice-case-study-offensive/)
139. [**The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation**Edwin Agnew, Michelle Qiu, Lily Zhu, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/)
140. [**Splitting EUD Graphs into Trees: A Quick and Clatty Approach**Mark Anderson, Carlos Gómez-Rodríguez*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/anderson-2021-splitting-eud-graphs-into-trees/)
141. [**Finding The Right One and Resolving it**Payal Khullar, Arghya Bhattacharya, Manish Shrivastava*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/khullar-2020-finding-right-one-resolving-it/)
142. [**Morphology-rich Alphasyllabary Embeddings**Amanuel Mersha, Stephen Wu*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mersha-2020-morphology-rich-alphasyllabary-embeddings/)
143. [**Transparent Semantic Change Detection with Dependency-Based Profiles**Bach Phan Tat, Kris Heylen, Dirk Geeraerts, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tat-2026-transparent-semantic-change-detection-dependency/)
144. [**Enhancing Deep Learning with Embedded Features for Arabic Named Entity Recognition**Ali L. Hatab, Caroline Sabty, Slim Abdennadher*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/hatab-2022-enhancing-deep-learning-embedded-features/)
145. [**Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic**Ido Benbaji, Omri Doron, Adele Henot-Mortier*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/benbaji-2022-word-embeddings-distinguish-denominal-root/)
146. [**SalamNET at SemEval-2020 Task12: Deep Learning Approach for Arabic Offensive Language Detection**Fatemah Husain; Jooyeon Lee; Samuel Henry;, Ozlem Uzuner*2020 · 1 citation*](https://md.research.elamur.ai/free/en/papers/husain-2020-salamnet-semeval-2020-task12-deep/)
147. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
148. [**Cross-lingual Lexical Semantic Change in Romance Languages**Ana Sabina Uban, Liviu P Dinu, Anca Daniela Dinu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/uban-2026-cross-lingual-lexical-semantic-change/)
149. [**LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/)
150. [**Modeling semantic association in self-paced reading with language model embeddings**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/)
151. [**Multilingual Target-Stance Extraction**Ethan Leigh Mines, Bonnie J. Dorr*2026*](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/)
152. [**One Word Is Not Enough: Simple Prompts Improve Word Embeddings**Rajeev Ranjan*2026*](https://md.research.elamur.ai/free/en/papers/ranjan-2026-one-word-is-not-enough/)
153. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
154. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
155. [**The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project**Angelina Aspra Aquino, Lester James Validad Miranda, Elsie Marie T. Or*2025*](https://md.research.elamur.ai/free/en/papers/aquino-2025-ud-newscrawl-treebank-reflections-challenges/)
156. [**The Truth, The Whole Truth, and Nothing but the Truth: A New Benchmark Dataset for Hebrew Text Credibility Assessment**Ben Hagag, Reut Tsarfaty*2023*](https://md.research.elamur.ai/free/en/papers/hagag-2023-truth-whole-truth-nothing-but/)
157. [**Automatic Expansion and Retargeting of Arabic Offensive Language Training**Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, et al.*2021*](https://md.research.elamur.ai/free/en/papers/mubarak-2021-automatic-expansion-retargeting-arabic-offensive/)

[← prev](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/cited-by/) **2**

2,061 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/bojanowski-2017-enriching-word-vectors-subword-information/) — Enriching Word Vectors with Subword Information
