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ORCIDKathy McKeown
Kathleen R. McKeown
Person information
- affiliation: Columbia University, Department of Computer Science, New York, NY, USA
- award (2010): Anita Borg Institute Women of Vision Awards
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2020 – today
- 2025
[c245]Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown:
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution. COLING 2025: 1124-1135- [c244]Nicholas Deas, Kathleen R. McKeown:
Summarization of Opinionated Political Documents with Varied Perspectives. COLING 2025: 8088-8108 - 2024
- [j33]Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. Trans. Assoc. Comput. Linguistics 12: 39-57 (2024) - [j32]Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. Trans. Assoc. Comput. Linguistics 12: 39-57 (2024) - [j31]Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen R. McKeown:
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers. Trans. Assoc. Comput. Linguistics 12: 1290-1310 (2024) - [j30]Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen R. McKeown:
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers. Trans. Assoc. Comput. Linguistics 12: 1290-1310 (2024) - [c243]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. AAAI 2024: 18216-18224 - [c242]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
Parallel Structures in Pre-training Data Yield In-Context Learning. ACL (1) 2024: 8582-8592 - [c241]Todd Morrill, Zhaoyuan Deng, Yanda Chen, Amith Ananthram, Colin Wayne Leach, Kathleen R. McKeown:
Social Orientation: A New Feature for Dialogue Analysis. LREC/COLING 2024: 14995-15011 - [c240]Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown:
STORYSUMM: Evaluating Faithfulness in Story Summarization. EMNLP 2024: 9988-10005 - [c239]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. EMNLP (Findings) 2024: 13376-13390 - [c238]Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía, Kathleen R. McKeown:
MASIVE: Open-Ended Affective State Identification in English and Spanish. EMNLP 2024: 20467-20485 - [c237]Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown:
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. ICML 2024 - [c236]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [i88]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
Parallel Structures in Pre-training Data Yield In-Context Learning. CoRR abs/2402.12530 (2024) - [i87]Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown:
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR abs/2402.13249 (2024) - [i86]Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown:
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR abs/2402.18479 (2024) - [i85]Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, Kathleen R. McKeown:
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models. CoRR abs/2403.00794 (2024) - [i84]Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen R. McKeown:
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers. CoRR abs/2403.01061 (2024) - [i83]Todd Morrill, Zhaoyuan Deng, Yanda Chen, Amith Ananthram, Colin Wayne Leach, Kathleen R. McKeown:
Social Orientation: A New Feature for Dialogue Analysis. CoRR abs/2403.04770 (2024) - [i82]Amith Ananthram, Elias Stengel-Eskin, Carl Vondrick, Mohit Bansal, Kathleen R. McKeown:
See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding. CoRR abs/2406.11665 (2024) - [i81]Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu:
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings. CoRR abs/2406.15586 (2024) - [i80]Shmuel Berman, Kathleen R. McKeown, Baishakhi Ray:
Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems. CoRR abs/2407.03956 (2024) - [i79]Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Adams, Lydia B. Chilton, Kathleen R. McKeown:
STORYSUMM: Evaluating Faithfulness in Story Summarization. CoRR abs/2407.06501 (2024) - [i78]Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía, Kathleen R. McKeown:
MASIVE: Open-Ended Affective State Identification in English and Spanish. CoRR abs/2407.12196 (2024) - [i77]Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown:
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution. CoRR abs/2409.07072 (2024) - [i76]Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch:
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. CoRR abs/2410.12757 (2024) - [i75]Zhaoyuan Deng, Amith Ananthram, Kathleen R. McKeown:
Enhancing Multimodal Affective Analysis with Learned Live Comment Features. CoRR abs/2410.16407 (2024) - [i74]Nicholas Deas, Kathleen R. McKeown:
Summarization of Opinionated Political Documents with Varied Perspectives. CoRR abs/2411.04093 (2024) - 2023
- [c235]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Noémie Elhadad, Kathleen R. McKeown:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. ACL (1) 2023: 2680-2697 - [c234]Adam Storek, Melanie Subbiah, Kathleen R. McKeown:
Unsupervised Selective Rationalization with Noise Injection. ACL (1) 2023: 12647-12659 - [c233]Bobby Yilun Hua, Zhaoyuan Deng, Kathleen R. McKeown:
Improving Long Dialogue Summarization with Semantic Graph Representation. ACL (Findings) 2023: 13851-13883 - [c232]Gengyu Wang, Kate Harwood, Lawrence Chillrud, Amith Ananthram, Melanie Subbiah, Kathleen R. McKeown:
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence. ACL (Findings) 2023: 14114-14127 - [c231]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) 2023: 14571-14589 - [c230]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c229]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) 2023: 512-525 - [c228]Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi:
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. EACL 2023: 2610-2627 - [c227]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL 2023: 2856-2872 - [c226]Faisal Ladhak, Esin Durmus, Mirac Suzgun, Tianyi Zhang, Dan Jurafsky, Kathleen R. McKeown, Tatsunori Hashimoto:
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization. EACL 2023: 3198-3211 - [c225]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
On the Relation between Sensitivity and Accuracy in In-Context Learning. EMNLP (Findings) 2023: 155-167 - [c224]Nicholas Deas, Jessica Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen R. McKeown:
Evaluation of African American Language Bias in Natural Language Generation. EMNLP 2023: 6805-6824 - [c223]Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch:
Learning Interpretable Style Embeddings via Prompting LLMs. EMNLP (Findings) 2023: 15270-15290 - [c222]Kasturi Bhattacharjee, Kathleen R. McKeown, Rashmi Gangadharaiah:
PhraseSumm: Abstractive Short Phrase Summarization. IJCNLP (Findings) 2023: 80-94 - [c221]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Towards Detecting Harmful Agendas in News Articles. WASSA@ACL 2023: 110-128 - [i73]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR abs/2301.10483 (2023) - [i72]Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen R. McKeown, Tatsunori B. Hashimoto:
Benchmarking Large Language Models for News Summarization. CoRR abs/2301.13848 (2023) - [i71]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. CoRR abs/2302.00102 (2023) - [i70]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. CoRR abs/2303.03278 (2023) - [i69]Kung-Hsiang Huang, Hou Pong Chan, Kathleen R. McKeown, Heng Ji:
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media. CoRR abs/2305.14225 (2023) - [i68]Nicholas Deas, Jessi Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen R. McKeown:
Evaluation of African American Language Bias in Natural Language Generation. CoRR abs/2305.14291 (2023) - [i67]Adam Storek, Melanie Subbiah, Kathleen R. McKeown:
Unsupervised Selective Rationalization with Noise Injection. CoRR abs/2305.17534 (2023) - [i66]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Kathleen R. McKeown, Noémie Elhadad:
Generating EDU Extracts for Plan-Guided Summary Re-Ranking. CoRR abs/2305.17779 (2023) - [i65]Gengyu Wang, Kate Harwood, Lawrence Chillrud, Amith Ananthram, Melanie Subbiah, Kathleen R. McKeown:
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence. CoRR abs/2305.18265 (2023) - [i64]Yanda Chen, Ruiqi Zhong, Narutatsu Ri, Chen Zhao, He He, Jacob Steinhardt, Zhou Yu, Kathleen R. McKeown:
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. CoRR abs/2307.08678 (2023) - [i63]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - [i62]Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown:
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer. CoRR abs/2308.15459 (2023) - [i61]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi
, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - 2022
- [j29]Emily Allaway, Kathleen R. McKeown:
Zero-shot stance detection: Paradigms and challenges. Frontiers Artif. Intell. 5 (2022) - [c220]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. ACL (Findings) 2022: 613-621 - [c219]Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown:
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. ACL (1) 2022: 1410-1421 - [c218]Noah Bergam, Emily Allaway, Kathy McKeown:
Legal and Political Stance Detection of SCOTUS Language. NLLP@EMNLP 2022: 265-275 - [c217]Elsbeth Turcan, David Wan, Faisal Ladhak, Petra Galuscáková, Sukanta Sen, Svetlana Tchistiakova, Weijia Xu, Marine Carpuat, Kenneth Heafield, Douglas W. Oard, Kathleen R. McKeown:
Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization. COLING 2022: 2668-2680 - [c216]Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown:
Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation. COLING 2022: 5882-5895 - [c215]Anish Saha, Amith Ananthram, Emily Allaway, Heng Ji, Kathleen R. McKeown:
Seeded Hierarchical Clustering for Expert-Crafted Taxonomies. EMNLP (Findings) 2022: 1595-1609 - [c214]Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang:
SafeText: A Benchmark for Exploring Physical Safety in Language Models. EMNLP 2022: 2407-2421 - [c213]Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang:
Mitigating Covertly Unsafe Text within Natural Language Systems. EMNLP (Findings) 2022: 2914-2926 - [c212]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. EMNLP (Findings) 2022: 4009-4027 - [c211]Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth:
What Do Users Care About? Detecting Actionable Insights from User Feedback. NAACL-HLT (Industry Papers) 2022: 239-246 - [i60]Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR abs/2203.05386 (2022) - [i59]Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi:
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization. CoRR abs/2203.10254 (2022) - [i58]Griffin Adams, Han-Chin Shing, Qing Sun, Christopher Winestock, Kathleen R. McKeown, Noémie Elhadad:
Learning to Revise References for Faithful Summarization. CoRR abs/2204.10290 (2022) - [i57]Anish Saha, Amith Ananthram, Emily Allaway, Heng Ji, Kathleen R. McKeown:
Seeded Hierarchical Clustering for Expert-Crafted Taxonomies. CoRR abs/2205.11602 (2022) - [i56]Emily Allaway, Jena D. Hwang, Chandra Bhagavatula, Kathleen R. McKeown, Doug Downey, Yejin Choi:
Penguins Don't Fly: Reasoning about Generics through Instantiations and Exceptions. CoRR abs/2205.11658 (2022) - [i55]Yanda Chen, Chen Zhao, Zhou Yu, Kathleen R. McKeown, He He:
On the Relation between Sensitivity and Accuracy in In-context Learning. CoRR abs/2209.07661 (2022) - [i54]Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang:
Mitigating Covertly Unsafe Text within Natural Language Systems. CoRR abs/2210.09306 (2022) - [i53]Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang:
SafeText: A Benchmark for Exploring Physical Safety in Language Models. CoRR abs/2210.10045 (2022) - [i52]Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen R. McKeown:
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection. CoRR abs/2211.04903 (2022) - [i51]Divyansh Agarwal, Alexander R. Fabbri, Simeng Han, Wojciech Kryscinski, Faisal Ladhak, Bryan Li, Kathleen R. McKeown, Dragomir Radev, Tianyi Zhang, Sam Wiseman:
CREATIVESUMM: Shared Task on Automatic Summarization for Creative Writing. CoRR abs/2211.05886 (2022) - [i50]Noah Bergam, Emily Allaway, Kathleen R. McKeown:
Legal and Political Stance Detection of SCOTUS Language. CoRR abs/2211.11724 (2022) - [i49]Yukun Huang, Yanda Chen, Zhou Yu, Kathleen R. McKeown:
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models. CoRR abs/2212.10670 (2022) - 2021
- [c210]Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil:
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) 2021: 1683-1698 - [c209]Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscáková, Rui Zhang, Douglas W. Oard, Kathleen R. McKeown:
Cross-language Sentence Selection via Data Augmentation and Rationale Training. ACL/IJCNLP (1) 2021: 3881-3895 - [c208]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. ACL/IJCNLP (1) 2021: 6881-6894 - [c207]Emily Allaway, Kathleen R. McKeown:
A Unified Feature Representation for Lexical Connotations. EACL 2021: 2145-2163 - [c206]Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown:
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. EACL 2021: 2330-2340 - [c205]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. EACL 2021: 2727-2733 - [c204]David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen R. McKeown:
Segmenting Subtitles for Correcting ASR Segmentation Errors. EACL 2021: 2842-2854 - [c203]Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang:
Semantic Categorization of Social Knowledge for Commonsense Question Answering. SustaiNLP@EMNLP 2021: 79-85 - [c202]Manling Li, Tengfei Ma, Mo Yu, Lingfei Wu, Tian Gao, Heng Ji, Kathleen R. McKeown:
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport. EMNLP (1) 2021: 6443-6456 - [c201]Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown:
A Bag of Tricks for Dialogue Summarization. EMNLP (1) 2021: 8014-8022 - [c200]Melanie Subbiah, Kathleen R. McKeown:
Understanding Identity Signalling in Persuasive Online Text. ICWSM Workshops 2021 - [c199]Gengyu Wang, Lawrence Chillrud, Kathleen R. McKeown:
Evidence based Automatic Fact-Checking for Climate Change Misinformation. ICWSM Workshops 2021 - [c198]Elsbeth Turcan, Smaranda Muresan, Kathleen R. McKeown:
Emotion-Infused Models for Explainable Psychological Stress Detection. NAACL-HLT 2021: 2895-2909 - [c197]Emily Allaway, Malavika Srikanth, Kathleen R. McKeown:
Adversarial Learning for Zero-Shot Stance Detection on Social Media. NAACL-HLT 2021: 4756-4767 - [c196]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [i48]Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen R. McKeown:
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings. CoRR abs/2101.11059 (2021) - [i47]Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen R. McKeown, Bing Xiang:
Entity-level Factual Consistency of Abstractive Text Summarization. CoRR abs/2102.09130 (2021) - [i46]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i45]David Wan, Chris Kedzie, Faisal Ladhak, Elsbeth Turcan, Petra Galuscáková, Elena Zotkina, Zhengping Jiang, Peter Bell, Kathleen R. McKeown:
Segmenting Subtitles for Correcting ASR Segmentation Errors. CoRR abs/2104.07868 (2021) - [i44]Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang:
Improving Factual Consistency of Abstractive Summarization via Question Answering. CoRR abs/2105.04623 (2021) - [i43]Emily Allaway, Malavika Srikanth, Kathleen R. McKeown:
Adversarial Learning for Zero-Shot Stance Detection on Social Media. CoRR abs/2105.06603 (2021) - [i42]Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscáková, Rui Zhang, Douglas W. Oard, Kathleen R. McKeown:
Cross-language Sentence Selection via Data Augmentation and Rationale Training. CoRR abs/2106.02293 (2021) - [i41]Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen R. McKeown:
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization. CoRR abs/2108.13684 (2021) - [i40]Gengyu Wang, Xiaochen Hou, Diyi Yang, Kathleen R. McKeown, Jing Huang:
Semantic Categorization of Social Knowledge for Commonsense Question Answering. CoRR abs/2109.05168 (2021) - [i39]Muhammad Khalifa, Miguel Ballesteros, Kathleen R. McKeown:
A Bag of Tricks for Dialogue Summarization. CoRR abs/2109.08232 (2021) - [i38]Fei-Tzin Lee, Chris Kedzie, Nakul Verma, Kathleen R. McKeown:
An analysis of document graph construction methods for AMR summarization. CoRR abs/2111.13993 (2021) - 2020
- [c195]Faisal Ladhak, Bryan Li, Yaser Al-Onaizan, Kathleen R. McKeown:
Exploring Content Selection in Summarization of Novel Chapters. ACL 2020: 5043-5054 - [c194]Desmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss:
Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing. AIES 2020: 337-342 - [c193]Wei-Yun Ma, Kathleen R. McKeown:
Phrase-level System Combination for Machine Translation Based on Target-to-Target Decoding. AMTA 2020 - [c192]Kristen Parton, Nizar Habash, Kathleen R. McKeown:
Lost & Found in Translation: Impact of Machine Translated Results on Translingual Information Retrieval. AMTA 2020 - [c191]Amith Ananthram, Emily Allaway, Kathleen R. McKeown:
Event-Guided Denoising for Multilingual Relation Learning. COLING 2020: 1505-1512 - [c190]Efsun Sarioglu Kayi, Linyong Nan, Bohan Qu, Mona T. Diab, Kathleen R. McKeown:
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages. COLING 2020: 4693-4703 - [c189]Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang:
Unsupervised Domain Adaptation for Cross-lingual Text Labeling. EMNLP (Findings) 2020: 3527-3536 - [c188]Faisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeown:
WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization. EMNLP (Findings) 2020: 4034-4048 - [c187]Chris Kedzie, Kathleen R. McKeown:
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies. EMNLP (1) 2020: 5160-5185 - [c186]Miguel Ballesteros,