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Alexander R. Fabbri
Alexander Richard Fabbri
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- affiliation: Yale University, New Haven, CT, USA
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2020 – today
- 2024
- [c35]Divyansh Agarwal, Alexander R. Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, Chien-Sheng Wu:
Prompt Leakage effect and mitigation strategies for multi-turn LLM Applications. EMNLP (Industry Track) 2024: 1255-1275 - [c34]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. EMNLP 2024: 9885-9903 - [c33]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 2024: 22017-22031 - [c32]Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT 2024: 570-593 - [c31]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 - [c30]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. NAACL-HLT (Findings) 2024: 4481-4501 - [c29]Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. NAACL-HLT 2024: 8647-8664 - [i46]Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR abs/2404.16251 (2024) - [i45]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR abs/2407.01370 (2024) - [i44]Yixin Liu, Kejian Shi, Alexander R. Fabbri, Yilun Zhao, Peifeng Wang, Chien-Sheng Wu, Shafiq Joty, Arman Cohan:
ReIFE: Re-evaluating Instruction-Following Evaluation. CoRR abs/2410.07069 (2024) - [i43]Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, Chien-Sheng Wu:
Evaluating Cultural and Social Awareness of LLM Web Agents. CoRR abs/2410.23252 (2024) - 2023
- [c28]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 - [c27]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) 2023: 4140-4170 - [c26]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Prompted Opinion Summarization with GPT-3.5. ACL (Findings) 2023: 9282-9300 - [c25]Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani:
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. ACL (Findings) 2023: 10755-10773 - [c24]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) 2023: 11626-11644 - [c23]Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu:
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. ACL (1) 2023: 12737-12755 - [c22]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Survey Generation. BEA@ACL 2023: 29-43 - [c21]Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. EMNLP (Findings) 2023: 7269-7283 - [c20]Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu:
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP 2023: 9662-9676 - [c19]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP 2023: 16360-16368 - [i42]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i41]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan:
On Learning to Summarize with Large Language Models as References. CoRR abs/2305.14239 (2023) - [i40]Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu:
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR abs/2305.14540 (2023) - [i39]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) - [i38]Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong:
XGen-7B Technical Report. CoRR abs/2309.03450 (2023) - [i37]Griffin Adams, Alexander R. Fabbri, Faisal Ladhak, Eric Lehman, Noémie Elhadad:
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting. CoRR abs/2309.04269 (2023) - [i36]Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR abs/2309.09369 (2023) - [i35]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) - [i34]Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan:
Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. CoRR abs/2311.09184 (2023) - [i33]Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. CoRR abs/2311.09458 (2023) - 2022
- [c18]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP 2022: 9149-9156 - [c17]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir Radev:
Surfer100: Generating Surveys From Web Resources, Wikipedia-style. LREC 2022: 5388-5392 - [c16]Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu:
Exploring Neural Models for Query-Focused Summarization. NAACL-HLT (Findings) 2022: 1455-1468 - [c15]Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab:
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. NAACL-HLT 2022: 2508-2520 - [c14]Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. NAACL-HLT 2022: 2587-2601 - [c13]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. NAACL-HLT 2022: 3540-3557 - [c12]Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. NAACL-HLT 2022: 5680-5692 - [i32]Irene Li, Thomas George, Alexander R. Fabbri, Tammy Liao, Benjamin Chen, Rina Kawamura, Richard Zhou, Vanessa Yan, Swapnil Hingmire, Dragomir R. Radev:
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation. CoRR abs/2201.02312 (2022) - [i31]Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett:
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR abs/2205.12854 (2022) - [i30]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i29]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) - [i28]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR abs/2211.06196 (2022) - [i27]Adithya Bhaskar, Alexander R. Fabbri, Greg Durrett:
Zero-Shot Opinion Summarization with GPT-3. CoRR abs/2211.15914 (2022) - [i26]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i25]Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu:
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. CoRR abs/2212.10449 (2022) - 2021
- [j2]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c11]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. ACL/IJCNLP (1) 2021: 6866-6880 - [c10]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. NAACL-HLT 2021: 704-717 - [i24]Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona T. Diab:
Multi-Perspective Abstractive Answer Summarization. CoRR abs/2104.08536 (2021) - [i23]Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. CoRR abs/2106.00829 (2021) - [i22]Xiangru Tang, Alexander R. Fabbri, Ziming Mao, Griffin Adams, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev:
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. CoRR abs/2109.09195 (2021) - [i21]Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona T. Diab:
AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization. CoRR abs/2111.06474 (2021) - [i20]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Lavinia Dunagan, Jacob Morrison, Alexander R. Fabbri, Yejin Choi, Noah A. Smith:
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand. CoRR abs/2112.04139 (2021) - [i19]Irene Li, Alexander R. Fabbri, Rina Kawamura, Yixin Liu, Xiangru Tang, Jaesung Tae, Chang Shen, Sally Ma, Tomoe Mizutani, Dragomir R. Radev:
Surfer100: Generating Surveys From Web Resources on Wikipedia-style. CoRR abs/2112.06377 (2021) - [i18]Jesse Vig, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu, Wenhao Liu:
Exploring Neural Models for Query-Focused Summarization. CoRR abs/2112.07637 (2021) - [i17]Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. CoRR abs/2112.08542 (2021) - [i16]Swapnil Hingmire, Irene Li, Rena Kawamura, Benjamin Chen, Alexander R. Fabbri, Xiangru Tang, Yixin Liu, Thomas George, Tammy Liao, Wai Pan Wong, Vanessa Yan, Richard Zhou, Girish K. Palshikar, Dragomir R. Radev:
CLICKER: A Computational LInguistics Classification Scheme for Educational Resources. CoRR abs/2112.08578 (2021) - 2020
- [c9]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. ACL 2020: 4508-4513 - [c8]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. COLING 2020: 1147-1157 - [i15]Irene Li, Alexander R. Fabbri, Swapnil Hingmire, Dragomir R. Radev:
R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. CoRR abs/2004.10610 (2020) - [i14]Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang:
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. CoRR abs/2004.11892 (2020) - [i13]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i12]Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad:
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. CoRR abs/2010.12836 (2020)
2010 – 2019
- 2019
- [c7]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. AAAI 2019: 6674-6681 - [c6]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. AAAI 2019: 7386-7393 - [c5]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. ACL (1) 2019: 1074-1084 - [c4]Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. ACL (1) 2019: 3173-3179 - [c3]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [i11]Alexander R. Fabbri, Irene Li, Tianwei She, Suyi Li, Dragomir R. Radev:
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model. CoRR abs/1906.01749 (2019) - [i10]Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, Neha Verma, William Hu, Dragomir R. Radev:
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations. CoRR abs/1906.03492 (2019) - [i9]Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir R. Radev:
Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess. CoRR abs/1906.10910 (2019) - [i8]Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev:
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks. CoRR abs/1909.01716 (2019) - [i7]Tao Yu
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - 2018
- [j1]Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan:
Sarcasm Analysis Using Conversation Context. Comput. Linguistics 44(4) (2018) - [c2]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. ACL (1) 2018: 611-620 - [i6]Alexander R. Fabbri, Irene Li, Prawat Trairatvorakul, Yijiao He, Wei Tai Ting, Robert Tung, Caitlin Westerfield, Dragomir R. Radev:
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation. CoRR abs/1805.04617 (2018) - [i5]Debanjan Ghosh, Alexander R. Fabbri, Smaranda Muresan:
Sarcasm Analysis using Conversation Context. CoRR abs/1808.07531 (2018) - [i4]Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev:
Zero-shot Transfer Learning for Semantic Parsing. CoRR abs/1808.09889 (2018) - [i3]Irene Li, Alexander R. Fabbri, Robert R. Tung, Dragomir R. Radev:
What Should I Learn First: Introducing LectureBank for NLP Education and Prerequisite Chain Learning. CoRR abs/1811.12181 (2018) - 2017
- [c1]Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan:
The Role of Conversation Context for Sarcasm Detection in Online Interactions. SIGDIAL Conference 2017: 186-196 - [i2]Debanjan Ghosh, Alexander Richard Fabbri, Smaranda Muresan:
The Role of Conversation Context for Sarcasm Detection in Online Interactions. CoRR abs/1707.06226 (2017) - 2016
- [i1]Owen Rambow, Tao Yu, Axinia Radeva, Alexander R. Fabbri, Christopher Hidey, Tianrui Peng, Kathleen R. McKeown, Smaranda Muresan, Sardar Hamidian, Mona T. Diab, Debanjan Ghosh:
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. TAC 2016
Coauthor Index
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