---
title: "Who cites GloVe: Global Vectors for Word Representation —…"
description: "5,962 papers of the Elamur Research library cite «GloVe: Global Vectors for Word Representation», found in their bibliographies · page 5 of 6 · 401–500…"
canonical: "https://research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/5/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [GloVe: Global Vectors for Word Representation](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/) / [cited by](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) / page 5

# Who cites «GloVe: Global Vectors for Word Representation»

5,962 papers of our library cite it (of the 140,884 whose bibliographies we read) · 514 with a page here, the most cited first · page 5 of 6 · 401–500 · [← the paper](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/)

[← prev](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/4/) [1](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) … [4](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/4/) **5** [6](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/6/)

401. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/)
402. [**Adversarial Learning for Discourse Rhetorical Structure Parsing**Longyin Zhang, Fang Kong, Guodong Zhou*2021 · 45 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-adversarial-learning-discourse-rhetorical-structure/)
403. [**Improving Event Coreference Resolution by Modeling Correlations between Event Coreference Chains and Document Topic Structures**Prafulla Kumar Choubey, Ruihong Huang*2018 · 43 citations*](https://md.research.elamur.ai/free/en/papers/choubey-2018-improving-event-coreference-resolution-modeling/)
404. [**A Mention-Ranking Model for Abstract Anaphora Resolution**Ana Marasović, Leo Born, Juri Opitz, et al.*2017 · 43 citations*](https://md.research.elamur.ai/free/en/papers/marasovic-2017-mention-ranking-model-abstract-anaphora/)
405. [**Story Realization: Expanding Plot Events into Sentences**Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ammanabrolu-2019-story-realization-expanding-plot-events/)
406. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/)
407. [**Identifying the Most Dominant Event in a News Article by Mining Event Coreference Relations**Prafulla Kumar Choubey, Kaushik Raju, Ruihong Huang*2018 · 42 citations*](https://md.research.elamur.ai/free/en/papers/choubey-2018-identifying-most-dominant-event-news/)
408. [**A Few Topical Tweets are Enough for Effective User Stance Detection**Younes Samih, Kareem Darwish*2021 · 40 citations*](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/)
409. [**QANom: Question-Answer driven SRL for Nominalizations**Ayal Klein, Jonathan Mamou, Valentina Pyatkin, et al.*2020 · 40 citations*](https://md.research.elamur.ai/free/en/papers/klein-2020-qanom-question-answer-driven-srl/)
410. [**Sentences with Gapping: Parsing and Reconstructing Elided Predicates**Sebastian Schuster, Joakim Nivre, Christopher D. Manning*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/schuster-2018-sentences-gapping-parsing-reconstructing-elided/)
411. [**Arc-swift: A Novel Transition System for Dependency Parsing**Peng Qi, Christopher D. Manning*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/qi-2017-arc-swift-novel-transition-system/)
412. [**Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers**Anupam Guha, Mohit Iyyer, Danny Bouman, et al.*2015 · 39 citations*](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/)
413. [**DziriBERT: a Pre-trained Language Model for the Algerian Dialect**Amine Abdaoui, Mohamed Berrimi, Mourad Oussalah, et al.*2021 · 38 citations*](https://md.research.elamur.ai/free/en/papers/abdaoui-2021-dziribert-pre-trained-language-model/)
414. [**Top-down Discourse Parsing via Sequence Labelling**Fajri Koto, Jey Han Lau, Timothy Baldwin*2021 · 37 citations*](https://md.research.elamur.ai/free/en/papers/koto-2021-top-down-discourse-parsing-sequence/)
415. [**Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution**Ting Liu, Yiming Cui, Qingyu Yin, et al.*2017 · 37 citations*](https://md.research.elamur.ai/free/en/papers/liu-2017-generating-exploiting-large-scale-pseudo/)
416. [**Reactive Supervision: A New Method for Collecting Sarcasm Data**Boaz Shmueli, Lun-Wei Ku, Soumya Ray*2020 · 36 citations*](https://md.research.elamur.ai/free/en/papers/shmueli-2020-reactive-supervision-new-method-collecting/)
417. [**Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition**Huibin Ruan, Yu Hong, Yang Xu, et al.*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2020-interactively-propagative-attention-learning-implicit/)
418. [**Ontology-Aware Token Embeddings for Prepositional Phrase Attachment**Pradeep Dasigi, Waleed Ammar, Chris Dyer, et al.*2017 · 35 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2017-ontology-aware-token-embeddings-prepositional/)
419. [**A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict**Yiyi Liu, Yequan Wang, Aixin Sun, et al.*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-dual-channel-framework-sarcasm-recognition/)
420. [**Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/)
421. [**What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text**Biaoyan Fang, Timothy Baldwin, Karin Verspoor*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/fang-2022-what-does-it-take-bake/)
422. [**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/)
423. [**Multitask Learning-Based Neural Bridging Reference Resolution**Juntao Yu, Massimo Poesio*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-multitask-learning-based-neural-bridging/)
424. [**A Deterministic Algorithm for Bridging Anaphora Resolution**Yufang Hou*2018 · 32 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-deterministic-algorithm-bridging-anaphora-resolution/)
425. [**Enhanced Word Representations for Bridging Anaphora Resolution**Yufang Hou*2018 · 32 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-enhanced-word-representations-bridging-anaphora/)
426. [**Probing Contextual Language Models for Common Ground with Visual Representations**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/)
427. [**The Referential Reader: A Recurrent Entity Network for Anaphora Resolution**Fei Liu, Luke Zettlemoyer, Jacob Eisenstein*2019 · 31 citations*](https://md.research.elamur.ai/free/en/papers/liu-2019-referential-reader-recurrent-entity-network/)
428. [**Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques**Asma Abdulsalam, Areej Alhothali, Saleh Al-Ghamdi*2023 · 29 citations*](https://md.research.elamur.ai/free/en/papers/abdulsalam-2023-detecting-suicidality-arabic-tweets-using/)
429. [**“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/)
430. [**NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets**Harsh Rangwani, Devang Kulshreshtha, Anil Kumar Singh*2018 · 28 citations*](https://md.research.elamur.ai/free/en/papers/rangwani-2018-nlprl-iitbhu-semeval-2018-task/)
431. [**Expectations over Unspoken Alternatives Predict Pragmatic Inferences**Jennifer Hu, Roger Levy, Judith Degen, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/hu-2023-expectations-over-unspoken-alternatives-predict/)
432. [**ChEMU-Ref: A Corpus for Modeling Anaphora Resolution in the Chemical Domain**Biaoyan Fang, Christian Druckenbrodt, Saber A Akhondi, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/fang-2021-chemu-ref-corpus-modeling-anaphora/)
433. [**Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition**Yingxue Zhang, Fandong Meng, Peng Li, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/)
434. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
435. [**Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art**Jing Lu, Vincent Ng*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/lu-2020-conundrums-entity-coreference-resolution-making/)
436. [**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/)
437. [**Bridging Resolution: A Survey of the State of the Art**Hideo Kobayashi, Vincent Ng*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/kobayashi-2020-bridging-resolution-survey-state-art/)
438. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
439. [**The Role of Pragmatic and Discourse Context in Determining Argument Impact**Esin Durmus, Faisal Ladhak, Claire Cardie*2019 · 24 citations*](https://md.research.elamur.ai/free/en/papers/durmus-2019-role-pragmatic-discourse-context-determining/)
440. [**Dialogue Act-based Breakdown Detection in Negotiation Dialogues**Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/yamaguchi-2021-dialogue-act-based-breakdown-detection/)
441. [**discopy: A Neural System for Shallow Discourse Parsing**René Knaebel*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/knaebel-2021-discopy-neural-system-shallow-discourse/)
442. [**STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval**Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, et al.*2020 · 22 citations*](https://md.research.elamur.ai/free/en/papers/conforti-2020-stander-expert-annotated-dataset-news/)
443. [**The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing**Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, et al.*2021 · 21 citations*](https://md.research.elamur.ai/free/en/papers/pyatkin-2021-possible-plausible-desirable-event-based/)
444. [**A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News**Corbèn Poot, Andreas van Cranenburgh*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/poot-2020-benchmark-rule-based-neural-coreference/)
445. [**A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax**Christo Kirov, John Sylak-Glassman, Rebecca Knowles, et al.*2017 · 21 citations*](https://md.research.elamur.ai/free/en/papers/kirov-2017-rich-morphological-tagger-english-exploring/)
446. [**A Double-Graph Based Framework for Frame Semantic Parsing**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/)
447. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
448. [**Can we obtain significant success in RST discourse parsing by using Large Language Models?**Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/maekawa-2024-can-we-obtain-significant-success/)
449. [**Dependency Parsing for Spoken Dialog Systems**Sam Davidson, Dian Yu, Zhou Yu*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/davidson-2019-dependency-parsing-spoken-dialog-systems/)
450. [**Synthetic Data for English Lexical Normalization: How Close Can We Get to Manually Annotated Data?**Kelly Dekker, Rob van der Goot*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/dekker-2020-synthetic-data-english-lexical-normalization/)
451. [**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/)
452. [**Stay Together: A System for Single and Split-antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2021 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-stay-together-system-single-split/)
453. [**A Cluster Ranking Model for Full Anaphora Resolution**Juntao Yu, Alexandra Uma, Massimo Poesio*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-cluster-ranking-model-full-anaphora/)
454. [**Ciron: a New Benchmark Dataset for Chinese Irony Detection**Rong Xiang, Xuefeng Gao, Yunfei Long, et al.*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/xiang-2020-ciron-new-benchmark-dataset-chinese/)
455. [**Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution**Juntao Yu, Nafise Sadat Moosavi, Silviu Paun, et al.*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/yu-2020-free-plural-unrestricted-split-antecedent/)
456. [**Pragmatic inference of scalar implicature by LLMs**Ye-eun Cho, Seong mook Kim*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/cho-2024-pragmatic-inference-scalar-implicature-llms/)
457. [**The First Shared Task on Discourse Representation Structure Parsing**Lasha Abzianidze, Rik van Noord, Hessel Haagsma, et al.*2019 · 16 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2019-first-shared-task-discourse-representation/)
458. [**"You might think about slightly revising the title": Identifying Hedges in Peer-tutoring Interactions**Yann Raphalen, Chloé Clavel, Justine Cassell*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/raphalen-2022-you-might-think-about-slightly/)
459. [**SemLink 2.0: Chasing Lexical Resources**Kevin Stowe, Jenette Preciado, Kathryn Conger, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/stowe-2021-semlink-2-0-chasing-lexical/)
460. [**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/)
461. [**Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions**Hesham Al-Bataineh, Wael Farhan, Ahmad Mustafa, et al.*2019 · 15 citations*](https://md.research.elamur.ai/free/en/papers/al-bataineh-2019-deep-contextualized-pairwise-semantic-similarity/)
462. [**New Arabic Medical Dataset for Diseases Classification**Jaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, et al.*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/hammoud-2021-new-arabic-medical-dataset-diseases/)
463. [**What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks**Richard Futrell, William Dyer, Greg Scontras*2020 · 14 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2020-what-determines-order-adjectives-english/)
464. [**Revisiting Selectional Preferences for Coreference Resolution**Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube*2017 · 14 citations*](https://md.research.elamur.ai/free/en/papers/heinzerling-2017-revisiting-selectional-preferences-coreference-resolution/)
465. [**Ar-Spider: Text-to-SQL in Arabic**Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/almohaimeed-2024-ar-spider-text-sql-arabic/)
466. [**Towards Arabic Multimodal Dataset for Sentiment Analysis**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2023-towards-arabic-multimodal-dataset-sentiment/)
467. [**"I'll be there for you": The One with Understanding Indirect Answers**Cathrine Damgaard, Paulina Toborek, Trine Eriksen, et al.*2021 · 13 citations*](https://md.research.elamur.ai/free/en/papers/damgaard-2021-i-ll-be-there-you/)
468. [**A Distance-Aware Multi-Task Framework for Conversational Discourse Parsing**Yaxin Fan, Peifeng Li, Fang Kong, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/fan-2022-distance-aware-multi-task-framework/)
469. [**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/)
470. [**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/)
471. [**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/)
472. [**What can we learn from Semantic Tagging?**Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, et al.*2018 · 11 citations*](https://md.research.elamur.ai/free/en/papers/abdou-2018-what-can-we-learn-semantic/)
473. [**How Often Are Errors in Natural Language Reasoning Due to Paraphrastic Variability?**Neha Srikanth, Marine Carpuat, Rachel Rudinger*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/srikanth-2024-how-often-are-errors-natural/)
474. [**Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task**Tatiana Anikina, Cennet Oguz, Natalia Skachkova, et al.*2021 · 10 citations*](https://md.research.elamur.ai/free/en/papers/anikina-2021-anaphora-resolution-dialogue-description-dfki/)
475. [**CQE: A Comprehensive Quantity Extractor**Satya Almasian, Vivian Kazakova, Philipp Göldner, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/almasian-2023-cqe-comprehensive-quantity-extractor/)
476. [**TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings**Hans Hanley, Zakir Durumeric*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hanley-2023-tata-stance-detection-topic-agnostic/)
477. [**Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics**Daniel Hershcovich, Nathan Schneider, Dotan Dvir, et al.*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/)
478. [**TArC: Tunisian Arabish Corpus, First complete release**Elisa Gugliotta, Marco Dinarelli*2022 · 8 citations*](https://md.research.elamur.ai/free/en/papers/gugliotta-2022-tarc-tunisian-arabish-corpus-first/)
479. [**A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples**Yuxuan Wang, Wanxiang Che, Ivan Titov, et al.*2021 · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-closer-look-into-robustness-neural/)
480. [**Contextualized Embeddings for Enriching Linguistic Analyses on Politeness**Ahmad Aljanaideh, Eric Fosler-Lussier, Marie-Catherine de Marneffe*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2020-contextualized-embeddings-enriching-linguistic-analyses/)
481. [**Large-scale text pre-training helps with dialogue act recognition, but not without fine-tuning**Bill Noble, Vladislav Maraev*2021 · 7 citations*](https://md.research.elamur.ai/free/en/papers/noble-2021-large-scale-text-pre-training/)
482. [**Detecting Anti-Semitic Hate Speech using Transformer-based Large Language Models**Dengyi Liu, Minghao Wang, Andrew G. Catlin*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-detecting-anti-semitic-hate-speech/)
483. [**A Pragmatics-Centered Evaluation Framework for Natural Language Understanding**Damien Sileo, Philippe Muller, Tim Van de Cruys, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/sileo-2022-pragmatics-centered-evaluation-framework-natural/)
484. [**Dependency Parsing Evaluation for Low-resource Spontaneous Speech**Zoey Liu, Emily Prud'hommeaux*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-dependency-parsing-evaluation-low-resource/)
485. [**Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits**Zheng Zhao, Bonnie Webber*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2021-revisiting-shallow-discourse-parsing-pdtb/)
486. [**Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models**Mohamed Taher Alrefaie, Nour Eldin Morsy, Nada Samir*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/alrefaie-2024-exploring-tokenization-strategies-vocabulary-sizes/)
487. [**Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function**Muhammad Azeem Aslam, Wang Jun, Nisar Ahmed, et al.*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/aslam-2024-improving-arabic-multi-label-emotion/)
488. [**An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction**Ali Hamdi, Malak Mohamed, Rokaia Emad, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hamdi-2025-ensemble-classification-approach-multi-layered/)
489. [**Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations**Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2025-mechanisms-vs-outcomes-probing-syntax/)
490. [**Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology**Tarek Sakakini, Suma Bhat, Pramod Viswanath*2017 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sakakini-2017-fixing-infix-unsupervised-discovery-root/)
491. [**You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings**Lara Verheyen, Jonas Doumen, Paul Van Eecke, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/)
492. [**AlexU-AL at SemEval-2022 Task 6: Detecting Sarcasm in Arabic Text Using Deep Learning Techniques**Aya Lotfy, Marwan Torki, Nagwa El-Makky*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/lotfy-2022-alexu-al-semeval-2022-task/)
493. [**SiPOS: A Benchmark Dataset for Sindhi Part-of-Speech Tagging**Wazir Ali, Zenglin Xu, Jay Kumar*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ali-2021-sipos-benchmark-dataset-sindhi-part/)
494. [**Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic**Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almohaimeed-2025-prompt-engineering-techniques-context-dependent/)
495. [**Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language**Ali Mahboub, Muhy Eddin Za'ter, Bashar Al-Rfooh, et al.*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mahboub-2024-evaluation-semantic-search-role-retrieved/)
496. [**On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT**Chenxin Liu, Emmanuele Chersoni*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-quick-kisses-how-make-them/)
497. [**Roadblocks in Gender Bias Measurement for Diachronic Corpora**Saied Alshahrani, Esma Wali, Abdullah R Alshamsan, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alshahrani-2022-roadblocks-gender-bias-measurement-diachronic/)
498. [**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/)
499. [**Missing Links: LLM-Augmentation of Event Triggers of State Changes in the OpenPI Dataset**Kyeongmin Rim, James Pustejovsky*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/rim-2026-missing-links-llm-augmentation-event/)
500. [**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/)

[← prev](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/4/) [1](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/) … [4](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/4/) **5** [6](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/6/) [next →](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/cited-by/page/6/)

- [← back to](https://md.research.elamur.ai/free/en/papers/pennington-2014-glove-global-vectors-word-representation/) — GloVe: Global Vectors for Word Representation