1 code implementation • LREC 2022 • Xinran Zhao, Hongming Zhang, Yangqiu Song
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to.
1 code implementation • ACL 2022 • Ying Su, Hongming Zhang, Yangqiu Song, Tong Zhang
However, the imbalanced training dataset leads to poor performance on rare senses and zero-shot senses.
no code implementations • CRAC (ACL) 2021 • Hongming Zhang, Xinran Zhao, Yangqiu Song
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to.
no code implementations • 30 Mar 2024 • Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu
Conceptual reasoning, the ability to reason in abstract and high-level perspectives, is key to generalization in human cognition.
no code implementations • 27 Feb 2024 • Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
For a LLM to be trustworthy, its confidence level should be well-calibrated with its actual performance.
1 code implementation • 16 Feb 2024 • Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See
Abstraction ability is crucial in human intelligence, which can also benefit various tasks in NLP study.
1 code implementation • 25 Jan 2024 • Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu
The rapid advancement of large language models (LLMs) has led to a new era marked by the development of autonomous applications in real-world scenarios, which drives innovation in creating advanced web agents.
1 code implementation • 18 Dec 2023 • Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang, Ting-Han Wei, Chao GAO, Martin Müller
We study and improve MCTS in the context where the environment model is given but imperfect.
1 code implementation • 11 Dec 2023 • Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu
We discover that the retrieval unit choice significantly impacts the performance of both retrieval and downstream tasks.
no code implementations • 29 Nov 2023 • Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, ChangShui Zhang, Xiaodan Liang, Linqi Song
In this study, we delve into the realm of counterfactual reasoning capabilities of large language models (LLMs).
no code implementations • 20 Nov 2023 • Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
In most real-world reinforcement learning applications, state information is only partially observable, which breaks the Markov decision process assumption and leads to inferior performance for algorithms that conflate observations with state.
Partially Observable Reinforcement Learning reinforcement-learning
1 code implementation • 15 Nov 2023 • Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song
Cognitive research indicates that abstraction ability is essential in human intelligence, which remains under-explored in language models.
no code implementations • 15 Nov 2023 • Wenhao Yu, Hongming Zhang, Xiaoman Pan, Kaixin Ma, Hongwei Wang, Dong Yu
In response to these challenges, we introduces Chain-of-Noting (CoN), a novel approach aimed at improving the robustness of RALMs in facing noisy, irrelevant documents and in handling unknown scenarios.
1 code implementation • 14 Nov 2023 • Ruixin Hong, Hongming Zhang, Xinyu Pang, Dong Yu, ChangShui Zhang
In this paper, we take a closer look at the self-verification abilities of LLMs in the context of logical reasoning, focusing on their ability to identify logical fallacies accurately.
1 code implementation • 7 Nov 2023 • Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu
We introduce sub-sentence encoder, a contrastively-learned contextual embedding model for fine-grained semantic representation of text.
no code implementations • 23 Oct 2023 • Hongwei Wang, Hongming Zhang, Dong Yu
Therefore, we propose a two-step training method for sentence representation learning models, wherein the encoder and the pooler are optimized separately to mitigate the overall performance loss in low-dimension scenarios.
1 code implementation • 19 Oct 2023 • Cheng Jiayang, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang
Analogy-making between narratives is crucial for human reasoning.
1 code implementation • 29 Sep 2023 • Hangfeng He, Hongming Zhang, Dan Roth
Established reference-based evaluation metrics rely on human-annotated reasoning chains to assess the model-derived chains.
1 code implementation • 15 Sep 2023 • Kaixin Ma, Hongming Zhang, Hongwei Wang, Xiaoman Pan, Wenhao Yu, Dong Yu
We evaluate our proposed LLM Agent with State-Space ExploRation (LASER) on both the WebShop task and amazon. com.
no code implementations • 8 Jul 2023 • Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu
Specifically, the detection technique achieves a recall of ~88% and the mitigation technique successfully mitigates 57. 6% of the correctly detected hallucinations.
no code implementations • NAACL (ACL) 2022 • Hantian Ding, Jinrui Yang, Yuqian Deng, Hongming Zhang, Dan Roth
We introduce an open-domain topic classification system that accepts user-defined taxonomy in real time.
no code implementations • 24 May 2023 • Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen
However, knowledge conflicts arise when there is a mismatch between the actual temporal relations of events in the context and the prior knowledge or biases learned by the model.
1 code implementation • 24 May 2023 • James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
It is unclear whether the compositional semantics of sentences can be directly reflected as compositional operations in the embedding space.
1 code implementation • 24 May 2023 • Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
In particular, we construct INSTRUCTOPENWIKI, a substantial instruction tuning dataset for Open-world IE enriched with a comprehensive corpus, extensive annotations, and diverse instructions.
no code implementations • 22 May 2023 • Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu
However, none of the existing methods have explicitly addressed the issue of framing bias that is inherent in news articles.
no code implementations • 22 May 2023 • Nan Xu, Hongming Zhang, Jianshu Chen
Existing event-centric NLP models often only apply to the pre-defined ontology, which significantly restricts their generalization capabilities.
1 code implementation • 9 May 2023 • Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
This paper proposes a new task to detect commonsense causation between two events in an event sequence (i. e., context), called contextualized commonsense causal reasoning.
1 code implementation • 4 May 2023 • Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu, ChangShui Zhang
In this paper, we propose FAME (FAithful question answering with MontE-carlo planning) to answer questions based on faithful reasoning steps.
1 code implementation • ICLR 2023 • Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller
In this work, we further exploit the information in the replay memory by treating it as an empirical \emph{Replay Memory MDP (RM-MDP)}.
1 code implementation • 9 Feb 2023 • Zizheng Lin, Hongming Zhang, Yangqiu Song
In this work, we propose to use global constraints with prompting to effectively tackles event argument classification without any annotation and task-specific training.
1 code implementation • ICCV 2023 • Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang
Learning about object state changes in Video Object Segmentation (VOS) is crucial for understanding and interacting with the visual world.
1 code implementation • 31 Dec 2022 • Hangfeng He, Hongming Zhang, Dan Roth
To address this issue, we propose a novel post-processing approach, rethinking with retrieval (RR), which retrieves relevant external knowledge based on the decomposed reasoning steps obtained from the chain-of-thought (CoT) prompting.
Ranked #2 on Question Answering on StrategyQA
no code implementations • 20 Dec 2022 • Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen
However, data augmentation may introduce noisy data that impairs training.
1 code implementation • 6 Dec 2022 • Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
However, there has been limited research on the zero-shot KBC settings, where we need to deal with unseen entities and relations that emerge in a constantly growing knowledge base.
no code implementations • 13 Nov 2022 • Jun Jin, Hongming Zhang, Jun Luo
This paper tackles the problem of how to pre-train a model and make it generally reusable backbones for downstream task learning.
1 code implementation • 9 Nov 2022 • Hongming Zhang, Wenlin Yao, Dong Yu
We argue that using the static embedding of the event type name might not be enough because a single word could be ambiguous, and we need a sentence to define the type semantics accurately.
1 code implementation • 7 Nov 2022 • Jiayao Zhang, Hongming Zhang, Zhun Deng, Dan Roth
We distill several insights from our analysis on study the peer review process with the help of large LMs.
no code implementations • 28 Oct 2022 • Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
In this paper, we develop a novel semi-parametric language model architecture, Knowledge-in-Context (KiC), which empowers a parametric text-to-text language model with a knowledge-rich external memory.
Ranked #5 on Question Answering on StoryCloze
1 code implementation • 22 Oct 2022 • Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
Recent literature adds extractive summaries as guidance for abstractive summarization models to provide hints of salient content and achieves better performance.
Ranked #7 on Abstractive Text Summarization on CNN / Daily Mail
3 code implementations • 22 Oct 2022 • Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, ChangShui Zhang, Dong Yu
To this end, we propose a comprehensive logical reasoning explanation form.
1 code implementation • 21 Oct 2022 • Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
Large-scale pretrained language models have made significant advances in solving downstream language understanding tasks.
Ranked #2 on Visual Commonsense Tests on ViComTe-color
1 code implementation • 14 Oct 2022 • Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, Simon See
We propose PseudoReasoner, a semi-supervised learning framework for CSKB population that uses a teacher model pre-trained on CSKBs to provide pseudo labels on the unlabeled candidate dataset for a student model to learn from.
1 code implementation • 14 Oct 2022 • Ying Su, ZiHao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, Tong Zhang
Commonsense reasoning tasks such as commonsense knowledge graph completion and commonsense question answering require powerful representation learning.
1 code implementation • COLING 2022 • Ying Su, Hongming Zhang, Yangqiu Song, Tong Zhang
As a key natural language processing (NLP) task, word sense disambiguation (WSD) evaluates how well NLP models can understand the lexical semantics of words under specific contexts.
1 code implementation • 13 Oct 2022 • Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, Simon See
In this paper, we propose a new task of sub-event generation for an unseen process to evaluate the understanding of the coherence of sub-event actions and objects.
no code implementations • 12 Oct 2022 • Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg, Dan Roth
We first align commonsense tasks with relevant knowledge from commonsense knowledge bases and ask humans to annotate whether the knowledge is enough or not.
no code implementations • 10 Oct 2022 • Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen
In this paper, we seek to improve the faithfulness of TempRel extraction models from two perspectives.
Ranked #3 on Temporal Relation Classification on MATRES
no code implementations • 8 Oct 2022 • Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth
In this paper, we address this gap by examining the extent to which current models comprehend the essentiality of step events in relation to a goal event.
3 code implementations • 9 Jun 2022 • Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, César Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodola, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocoń, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Şenel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramírez Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima, Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, ZiRui Wang, Ziyi Wu
BIG-bench focuses on tasks that are believed to be beyond the capabilities of current language models.
1 code implementation • 29 May 2022 • Xintong Yu, Hongming Zhang, Ruixin Hong, Yangqiu Song, ChangShui Zhang
In this paper, we propose VD-PCR, a novel framework to improve Visual Dialog understanding with Pronoun Coreference Resolution in both implicit and explicit ways.
3 code implementations • Findings (NAACL) 2022 • Ruixin Hong, Hongming Zhang, Xintong Yu, ChangShui Zhang
Advances on QA explanation propose to explain the answers with entailment trees composed of multiple entailment steps.
1 code implementation • Findings (NAACL) 2022 • Jiaxin Bai, ZiHao Wang, Hongming Zhang, Yangqiu Song
The query embedding method is proposed to answer these queries by jointly encoding queries and entities to the same embedding space.
1 code implementation • 31 Jan 2022 • Jiayao Zhang, Hongming Zhang, Weijie J. Su, Dan Roth
Commonsense causality reasoning (CCR) aims at identifying plausible causes and effects in natural language descriptions that are deemed reasonable by an average person.
no code implementations • 21 Sep 2021 • Hongming Zhang, Ke Sun, Bo Xu, Linglong Kong, Martin Müller
In this paper, we propose a simple yet effective anomaly detection framework for deep RL algorithms that simultaneously considers random, adversarial and out-of-distribution~(OOD) state outliers.
2 code implementations • EMNLP 2021 • Tianqing Fang, Weiqi Wang, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He
Experimental results show that generalizing commonsense reasoning on unseen assertions is inherently a hard task.
no code implementations • EMNLP 2021 • Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth
The task of subevent detection aims to resolve this granularity issue, recognizing the membership of multi-granular events in event complexes.
1 code implementation • EMNLP 2021 • Xintong Yu, Hongming Zhang, Yangqiu Song, ChangShui Zhang, Kun Xu, Dong Yu
Resolving pronouns to their referents has long been studied as a fundamental natural language understanding problem.
no code implementations • ACL 2021 • Qing Lyu, Hongming Zhang, Elior Sulem, Dan Roth
Event extraction has long been a challenging task, addressed mostly with supervised methods that require expensive annotation and are not extensible to new event ontologies.
no code implementations • ACL 2021 • Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth
This tutorial targets researchers and practitioners who are interested in AI technologies that help machines understand natural language text, particularly real-world events described in the text.
1 code implementation • AKBC 2021 • Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu
To evaluate the inference capability of different methods, we also propose a new evaluation metric based on CODC.
1 code implementation • NAACL 2021 • Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).
no code implementations • EMNLP 2021 • Yanai Elazar, Hongming Zhang, Yoav Goldberg, Dan Roth
To support this claim, we first show that the current evaluation method of WS is sub-optimal and propose a modification that uses twin sentences for evaluation.
Ranked #24 on Coreference Resolution on Winograd Schema Challenge
1 code implementation • 5 Apr 2021 • Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song
After conceptualization with Probase, a selectional preference based concept-instance relational knowledge base, our concept graph contains 15 million conceptualized eventualities and 224 million edges between them.
1 code implementation • EACL 2021 • Jiaxin Bai, Hongming Zhang, Yangqiu Song, Kun Xu
Character linking, the task of linking mentioned people in conversations to the real world, is crucial for understanding the conversations.
1 code implementation • 1 Jan 2021 • Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He
On the other hand, generation models have the potential to automatically generate more knowledge.
1 code implementation • Findings (ACL) 2022 • Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng
Large-scale pre-trained language models have demonstrated strong knowledge representation ability.
no code implementations • 30 Dec 2020 • Hongming Zhang, Haoyu Wang, Dan Roth
Rather than relying on annotated data, our model matches the semantics of identified events with those of event type labels.
1 code implementation • 13 Dec 2020 • Hongming Zhang, Yintong Huo, Xinran Zhao, Yangqiu Song, Dan Roth
Compared with pure text-based approaches, learning causality from the visual signal has the following advantages: (1) Causality knowledge belongs to the commonsense knowledge, which is rarely expressed in the text but rich in videos; (2) Most events in the video are naturally time-ordered, which provides a rich resource for us to mine causality knowledge from; (3) All the objects in the video can be used as context to study the contextual property of causal relations.
no code implementations • CONLL 2020 • Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth
This paper studies a new cognitively motivated semantic typing task, multi-axis event process typing, that, given anevent process, attempts to infer free-form typelabels describing (i) the type of action made bythe process and (ii) the type of object the pro-cess seeks to affect.
no code implementations • EMNLP 2020 • Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth
Computational and cognitive studies of event understanding suggest that identifying, comprehending, and predicting events depend on having structured representations of a sequence of events and on conceptualizing (abstracting) its components into (soft) event categories.
no code implementations • EMNLP 2020 • Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth
Understanding natural language involves recognizing how multiple event mentions structurally and temporally interact with each other.
no code implementations • 13 Oct 2020 • Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth
This paper studies a new cognitively motivated semantic typing task, multi-axis event process typing, that, given an event process, attempts to infer free-form type labels describing (i) the type of action made by the process and (ii) the type of object the process seeks to affect.
1 code implementation • EMNLP 2020 • Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, Shuming Shi
We also demonstrate that distributional methods are ideal to make up for pattern-based ones in such cases.
1 code implementation • 27 Sep 2020 • Hongming Zhang, Xinran Zhao, Yangqiu Song
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to.
1 code implementation • 18 Sep 2020 • Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong
RLzoo provides developers with (i) high-level yet flexible APIs for prototyping DRL agents, and further customising the agents for best performance, (ii) a model zoo where users can import a wide range of DRL agents and easily compare their performance, and (iii) an algorithm that can automatically construct DRL agents with custom components (which are critical to improve agent's performance in custom applications).
1 code implementation • AKBC 2020 • Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang
Computational and cognitive studies suggest that the abstraction of eventualities (activities, states, and events) is crucial for humans to understand daily eventualities.
1 code implementation • ACL 2020 • Hongming Zhang, Xinran Zhao, Yangqiu Song
Experimental results prove that even though pre-trained language representation models have achieved promising progress on the original WSC dataset, they are still struggling at WinoWhy.
1 code implementation • 1 May 2020 • Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
Commonsense knowledge acquisition is a key problem for artificial intelligence.
1 code implementation • IJCNLP 2019 • Hongming Zhang, Jiaxin Bai, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, Dong Yu
Therefore, in this paper, we propose a multiplex word embedding model, which can be easily extended according to various relations among words.
1 code implementation • IJCNLP 2019 • Xintong Yu, Hongming Zhang, Yangqiu Song, Yan Song, Chang-Shui Zhang
To tackle this challenge, in this paper, we formally define the task of visual-aware pronoun coreference resolution (PCR) and introduce VisPro, a large-scale dialogue PCR dataset, to investigate whether and how the visual information can help resolve pronouns in dialogues.
1 code implementation • IJCNLP 2019 • Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-yan Yeung
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks.
no code implementations • 16 Aug 2019 • Jiancheng Long, Hongming Zhang, Tianyang Yu, Bo Xu
In this method, iterative update can greatly alleviate the nonstationarity of the environment, unified representation can speed up the interaction with environment and avoid the linear growth of memory usage.
Multi-agent Reinforcement Learning reinforcement-learning +1
1 code implementation • ACL 2019 • Hongming Zhang, Yan Song, Yangqiu Song, Dong Yu
Resolving pronoun coreference requires knowledge support, especially for particular domains (e. g., medicine).
1 code implementation • NAACL 2019 • Hongming Zhang, Yan Song, Yangqiu Song
Linking pronominal expressions to the correct references requires, in many cases, better analysis of the contextual information and external knowledge.
1 code implementation • ACL 2019 • Hongming Zhang, Hantian Ding, Yangqiu Song
Selectional Preference (SP) is a commonly observed language phenomenon and proved to be useful in many natural language processing tasks.
2 code implementations • 1 May 2019 • Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung
Understanding human's language requires complex world knowledge.
no code implementations • 16 Dec 2018 • Cheng Zeng, Hongming Zhang
Specifically, a new surrogate objective with interior penalty method is proposed to avoid the defect arose from exterior penalty method.