---
title: "IBM — works"
description: "62 works by researchers of IBM in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/companies/ibm/works/"
---
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# Works of IBM

62 works · the most cited first · [← IBM](https://md.research.elamur.ai/free/en/companies/ibm/)

1. [**Bleu: a Method for Automatic Evaluation of Machine Translation**Kishore Papineni, Salim Roukos, Todd Ward, et al.*2002 · 32,065 citations*](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)
2. [**The Stanford CoreNLP Natural Language Processing Toolkit**Christopher Manning, Mihai Surdeanu, John Bauer, et al.*2014 · 8,620 citations*](https://md.research.elamur.ai/free/en/papers/manning-2014-stanford-corenlp-natural-language-processing/)
3. [**Self-critical Sequence Training for Image Captioning**Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al.*2016 · 2,367 citations*](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/)
4. [**SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents**Ramesh Nallapati, Feifei Zhai, Bowen Zhou*2016 · 1,566 citations*](https://md.research.elamur.ai/free/en/papers/nallapati-2016-summarunner-recurrent-neural-network-based/)
5. [**Contextual String Embeddings for Sequence Labeling**Alan Akbik, Duncan Blythe, Roland Vollgraf*2018 · 1,390 citations*](https://md.research.elamur.ai/free/en/papers/akbik-2018-contextual-string-embeddings-sequence-labeling/)
6. [**Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts**Cícero dos Santos, Maíra Gatti*2014 · 1,269 citations*](https://md.research.elamur.ai/free/en/papers/santos-2014-deep-convolutional-neural-networks-sentiment/)
7. [**Predicting the Type and Target of Offensive Posts in Social Media**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,113 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-predicting-type-target-offensive-posts/)
8. [**SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2019 · 1,109 citations*](https://md.research.elamur.ai/free/en/papers/zampieri-2019-semeval-2019-task-6-identifying/)
9. [**SemEval-2016 Task 4: Sentiment Analysis in Twitter**Preslav Nakov, Alan Ritter, Sara Rosenthal, et al.*2016 · 1,081 citations*](https://md.research.elamur.ai/free/en/papers/nakov-2016-semeval-2016-task-4-sentiment/)
10. [**ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs**Wenpeng Yin, Hinrich Schütze, Bing Xiang, et al.*2016 · 1,048 citations*](https://md.research.elamur.ai/free/en/papers/yin-2016-abcnn-attention-based-convolutional-neural/)
11. [**On Coreference Resolution Performance Metrics**Xiaoqiang Luo*2005 · 855 citations*](https://md.research.elamur.ai/free/en/papers/luo-2005-coreference-resolution-performance-metrics/)
12. [**GLTR: Statistical Detection and Visualization of Generated Text**Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush*2019 · 691 citations*](https://md.research.elamur.ai/free/en/papers/gehrmann-2019-gltr-statistical-detection-visualization-generated/)
13. [**Classifying Relations by Ranking with Convolutional Neural Networks**Cícero dos Santos, Bing Xiang, Bowen Zhou*2015 · 613 citations*](https://md.research.elamur.ai/free/en/papers/santos-2015-classifying-relations-ranking-convolutional-neural/)
14. [**CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies**Daniel Zeman, Martin Popel, Milan Straka, et al.*2017 · 604 citations*](https://md.research.elamur.ai/free/en/papers/zeman-2017-conll-2017-shared-task-multilingual/)
15. [**A Joint Neural Model for Information Extraction with Global Features**Ying Lin, Heng Ji, Fei Huang, et al.*2020 · 600 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-joint-neural-model-information-extraction/)
16. [**Named Entity Recognition through Classifier Combination**Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.*2003 · 484 citations*](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/)
17. [**Discourse Segmentation of Multi-Party Conversation**Michel Galley, Kathleen R. McKeown, Eric Fosler-Lussier, et al.*2003 · 455 citations*](https://md.research.elamur.ai/free/en/papers/galley-2003-discourse-segmentation-multi-party-conversation/)
18. [**A Unigram Orientation Model for Statistical Machine Translation**Christoph Tillmann*2004 · 430 citations*](https://md.research.elamur.ai/free/en/papers/tillmann-2004-unigram-orientation-model-statistical-machine/)
19. [**Beam Search Strategies for Neural Machine Translation**Markus Freitag, Yaser Al-Onaizan*2017 · 386 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2017-beam-search-strategies-neural-machine/)
20. [**Text Understanding with the Attention Sum Reader Network**Rudolf Kadlec, Martin Schmid, Ondrej Bajgar, et al.*2016 · 379 citations*](https://md.research.elamur.ai/free/en/papers/kadlec-2016-text-understanding-attention-sum-reader/)
21. [**Parameter-Efficient Transfer Learning with Diff Pruning**Demi Guo, Alexander Rush, Yoon Kim*2021 · 355 citations*](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/)
22. [**A Graph-to-Sequence Model for AMR-to-Text Generation**Linfeng Song, Yue Zhang, Zhiguo Wang, et al.*2018 · 329 citations*](https://md.research.elamur.ai/free/en/papers/song-2018-graph-sequence-model-amr-text/)
23. [**Neural language models as psycholinguistic subjects: Representations of syntactic state**Richard Futrell, Ethan Wilcox, Takashi Morita, et al.*2019 · 291 citations*](https://md.research.elamur.ai/free/en/papers/futrell-2019-neural-language-models-as-psycholinguistic/)
24. [**A Survey of the State of Explainable AI for Natural Language Processing**Marina Danilevsky, Kun Qian, Ranit Aharonov, et al.*2020 · 290 citations*](https://md.research.elamur.ai/free/en/papers/danilevsky-2020-survey-state-explainable-ai-natural/)
25. [**emrQA: A Large Corpus for Question Answering on Electronic Medical Records**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 285 citations*](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/)
26. [**A Maximum Entropy Model for Prepositional Phrase Attachment**Adwait Ratnaparkhi, Jeff Reynar, Salim Roukos*1994 · 276 citations*](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-1994-maximum-entropy-model-prepositional-phrase/)
27. [**What do RNN Language Models Learn about Filler-Gap Dependencies?**Ethan Wilcox, Roger Levy, Takashi Morita, et al.*2018 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wilcox-2018-rnn-language-models-learn-about/)
28. [**DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings**Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, et al.*2022 · 269 citations*](https://md.research.elamur.ai/free/en/papers/chuang-2022-diffcse-difference-based-contrastive-learning/)
29. [**TrustLLM: Trustworthiness in Large Language Models**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
30. [**Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer**Cicero Nogueira dos Santos, Igor Melnyk, Inkit Padhi*2018 · 209 citations*](https://md.research.elamur.ai/free/en/papers/santos-2018-fighting-offensive-language-social-media/)
31. [**Maximum Entropy Based Restoration of Arabic Diacritics**Imed Zitouni, Jeffrey S. Sorensen, Ruhi Sarikaya*2006 · 196 citations*](https://md.research.elamur.ai/free/en/papers/zitouni-2006-maximum-entropy-based-restoration-arabic/)
32. [**DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension**Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra, et al.*2018 · 188 citations*](https://md.research.elamur.ai/free/en/papers/saha-2018-duorc-complex-language-understanding-paraphrased/)
33. [**Re2G: Retrieve, Rerank, Generate**Michael Glass, Gaetano Rossiello, Md Faisal Mahbub Chowdhury, et al.*2022 · 183 citations*](https://md.research.elamur.ai/free/en/papers/glass-2022-re2g-retrieve-rerank-generate/)
34. [**Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation**Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.*2025 · 179 citations*](https://md.research.elamur.ai/free/en/papers/singh-2025-global-mmlu-understanding-addressing-cultural/)
35. [**Aligning Large Multimodal Models with Factually Augmented RLHF**Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-aligning-large-multimodal-models-factually/)
36. [**SCROLLS: Standardized CompaRison Over Long Language Sequences**Uri Shaham, Elad Segal, Maor Ivgi, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/shaham-2022-scrolls-standardized-comparison-over-long/)
37. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/)
38. [**GLUCOSE: GeneraLized and COntextualized Story Explanations**Nasrin Mostafazadeh, Aditya Kalyanpur, Lori Moon, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/mostafazadeh-2020-glucose-generalized-contextualized-story-explanations/)
39. [**The Role of Context Types and Dimensionality in Learning Word Embeddings**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/)
40. [**Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge**Jiayi Ye, Yanbo Wang, Yue Huang, et al.*2024 · 142 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-justice-prejudice-quantifying-biases-llm/)
41. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
42. [**Scheduled Multi-Task Learning: From Syntax to Translation**Eliyahu Kiperwasser, Miguel Ballesteros*2018 · 130 citations*](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/)
43. [**Anaphora Resolution in Slot Grammar**Shalom Lappin, Michael McCord*1990 · 114 citations*](https://md.research.elamur.ai/free/en/papers/lappin-1990-anaphora-resolution-slot-grammar/)
44. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 108 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/)
45. [**Data Engineering for Scaling Language Models to 128K Context**Yao Fu, Rameswar Panda, Xinyao Niu, et al.*2024 · 107 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-data-engineering-scaling-language-models/)
46. [**Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 83 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/)
47. [**Dialogue Act Sequence Labeling using Hierarchical encoder with CRF**Harshit Kumar, Arvind Agarwal, Riddhiman Dasgupta, et al.*2017 · 75 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2017-dialogue-act-sequence-labeling-using/)
48. [**Design of LMT: A Prolog-Based Machine Translation System**Michael C. McCord*1989 · 74 citations*](https://md.research.elamur.ai/free/en/papers/mccord-1989-design-lmt-prolog-based-machine/)
49. [**Implicit Discourse Relation Classification: We Need to Talk about Evaluation**Najoung Kim, Song Feng, Chulaka Gunasekara, et al.*2020 · 69 citations*](https://md.research.elamur.ai/free/en/papers/kim-2020-implicit-discourse-relation-classification-we/)
50. [**It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books**Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.*2022 · 64 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)
51. [**Latent Trees for Coreference Resolution**Eraldo Rezende Fernandes, Cícero Nogueira dos Santos, Ruy Luiz Milidiú*2014 · 63 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2014-latent-trees-coreference-resolution/)
52. [**Summarizing Online Forum Discussions – Can Dialog Acts of Individual Messages Help?**Sumit Bhatia, Prakhar Biyani, Prasenjit Mitra*2014 · 59 citations*](https://md.research.elamur.ai/free/en/papers/bhatia-2014-summarizing-online-forum-discussions-can/)
53. [**A Modular Architecture for Unsupervised Sarcasm Generation**Abhijit Mishra, Tarun Tater, Karthik Sankaranarayanan*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2019-modular-architecture-unsupervised-sarcasm-generation/)
54. [**Universal Dependencies Version 2 for Japanese**Masayuki Asahara, Hiroshi Kanayama, Takaaki Tanaka, et al.*2018 · 50 citations*](https://md.research.elamur.ai/free/en/papers/asahara-2018-universal-dependencies-version-2-japanese/)
55. [**Multi-Lingual Coreference Resolution With Syntactic Features**Xiaoqiang Luo, Imed Zitouni*2005 · 46 citations*](https://md.research.elamur.ai/free/en/papers/luo-2005-multi-lingual-coreference-resolution-syntactic/)
56. [**Neural Cross-Lingual Coreference Resolution And Its Application To Entity Linking**Gourab Kundu, Avi Sil, Radu Florian, et al.*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/kundu-2018-neural-cross-lingual-coreference-resolution/)
57. [**Coreference or Not: A Twin Model for Coreference Resolution**Xiaoqiang Luo*2007 · 34 citations*](https://md.research.elamur.ai/free/en/papers/luo-2007-coreference-or-not-twin-model/)
58. [**Improving Arabic Dependency Parsing with Form-based and Functional Morphological Features**Yuval Marton, Nizar Habash, Owen Rambow*2011 · 21 citations*](https://md.research.elamur.ai/free/en/papers/marton-2011-improving-arabic-dependency-parsing-form/)
59. [**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/)
60. [**Abstraction and underspecification in semantic transfer**Bernd Abb, Bianka Buschbeck-Wolf, Christel Tschernitschek*1996 · 4 citations*](https://md.research.elamur.ai/free/en/papers/abb-1996-abstraction-underspecification-semantic-transfer/)
61. [**Domain-Aware Dependency Parsing for Questions**Aparna Garimella, Laura Chiticariu, Yunyao Li*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/garimella-2021-domain-aware-dependency-parsing-questions/)
62. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
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