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2020 – today
- 2024
[j4]Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen:
Variational Classification: A Probabilistic Generalization of the Softmax Classifier. Trans. Mach. Learn. Res. 2024 (2024)- [c92]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. ACL (1) 2024: 1890-1912 - [c91]Ishan Agrawal, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Mrinmaya Sachan, Bernhard Schölkopf:
CausalCite: A Causal Formulation of Paper Citations. ACL (Findings) 2024: 8395-8410 - [c90]Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf:
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. ACL (1) 2024: 8420-8436 - [c89]Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan:
Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. ACL (Findings) 2024: 9707-9731 - [c88]Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan:
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading. ACL (1) 2024: 11749-11765 - [c87]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL (1) 2024: 12365-12379 - [c86]Furui Cheng
, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CHI 2024: 647:1-647:18 - [c85]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nate B. Carlson, Nathaniel Romney Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. LREC/COLING 2024: 13344-13355 - [c84]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
RETRO-LI: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. ECAI 2024: 2974-2982 - [c83]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? ICLR 2024 - [c82]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? ICML 2024 - [c81]Xiaoyu Zhang, Jorge Henrique Piazentin Ono, Wenbin He, Liang Gou, Mrinmaya Sachan, Kwan-Liu Ma, Liu Ren:
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer. IUI 2024: 274-287 - [c80]Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails. L@S 2024: 5-15 - [c79]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. NAACL-HLT (Findings) 2024: 4318-4335 - [c78]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT 2024: 5872-5883 - [c77]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT 2024: 7096-7112 - [i96]Andreas Opedal, Alessandro Stolfo, Haruki Shirakami, Ying Jiao, Ryan Cotterell, Bernhard Schölkopf, Abulhair Saparov, Mrinmaya Sachan:
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? CoRR abs/2401.18070 (2024) - [i95]Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan:
Scaling the Authoring of AutoTutors with Large Language Models. CoRR abs/2402.09216 (2024) - [i94]Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators. CoRR abs/2402.11073 (2024) - [i93]Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf:
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals. CoRR abs/2402.11655 (2024) - [i92]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - [i91]Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan:
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots. CoRR abs/2403.03307 (2024) - [i90]Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan:
On the Causal Nature of Sentiment Analysis. CoRR abs/2404.11055 (2024) - [i89]Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea:
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR abs/2404.16698 (2024) - [i88]Abhinav Lalwani, Lovish Chopra, Christopher Hahn, Caroline Trippel, Zhijing Jin, Mrinmaya Sachan:
NL2FOL: Translating Natural Language to First-Order Logic for Logical Fallacy Detection. CoRR abs/2405.02318 (2024) - [i87]Jiaoda Li, Jennifer C. White, Mrinmaya Sachan, Ryan Cotterell:
A Transformer with Stack Attention. CoRR abs/2405.04515 (2024) - [i86]Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan:
Implicit Personalization in Language Models: A Systematic Study. CoRR abs/2405.14808 (2024) - [i85]Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin:
CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR abs/2405.20318 (2024) - [i84]Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell:
On Affine Homotopy between Language Encoders. CoRR abs/2406.02329 (2024) - [i83]Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell:
What Do Language Models Learn in Context? The Structured Task Hypothesis. CoRR abs/2406.04216 (2024) - [i82]Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, Roman Grundkiewicz, Marzena Karpinska, Maja Popovic, Mrinmaya Sachan, Mariya Shmatova:
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation. CoRR abs/2406.11580 (2024) - [i81]Vilém Zouhar, Tom Kocmi, Mrinmaya Sachan:
AI-Assisted Human Evaluation of Machine Translation. CoRR abs/2406.12419 (2024) - [i80]Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold:
DIRAS: Efficient LLM-Assisted Annotation of Document Relevance in Retrieval Augmented Generation. CoRR abs/2406.14162 (2024) - [i79]Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda:
Confidence Regulation Neurons in Language Models. CoRR abs/2406.16254 (2024) - [i78]Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf:
Multilingual Trolley Problems for Language Models. CoRR abs/2407.02273 (2024) - [i77]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR abs/2407.09136 (2024) - [i76]Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan:
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading. CoRR abs/2407.14309 (2024) - [i75]Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Towards Aligning Language Models with Textual Feedback. CoRR abs/2407.16970 (2024) - [i74]Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan:
GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes. CoRR abs/2409.15981 (2024) - [i73]Gentiana Rashiti, Geethan Karunaratne, Mrinmaya Sachan, Abu Sebastian, Abbas Rahimi:
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization. CoRR abs/2410.00004 (2024) - [i72]Buse Giledereli, Yifan Hou, Yilei Tu, Mrinmaya Sachan:
Do Vision-Language Models Really Understand Visual Language? CoRR abs/2410.00193 (2024) - [i71]Yilmazcan Özyurt, Stefan Feuerriegel, Mrinmaya Sachan:
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing. CoRR abs/2410.01727 (2024) - 2023
- [c76]Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan:
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. ACL (1) 2023: 545-561 - [c75]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. ACL (Findings) 2023: 598-614 - [c74]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. ACL (1) 2023: 5184-5207 - [c73]Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Reasoning Capabilities into Smaller Language Models. ACL (Findings) 2023: 7059-7073 - [c72]Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold:
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. ACL (1) 2023: 7465-7488 - [c71]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels. ACL (1) 2023: 7853-7872 - [c70]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. ACL (Findings) 2023: 9088-9115 - [c69]Peng Cui, Mrinmaya Sachan:
Adaptive and Personalized Exercise Generation for Online Language Learning. ACL (1) 2023: 10184-10198 - [c68]Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick:
Membership Inference Attacks against Language Models via Neighbourhood Comparison. ACL (Findings) 2023: 11330-11343 - [c67]Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, Peng Zhang, Mrinmaya Sachan, Kaiping Peng:
XDailyDialog: A Multilingual Parallel Dialogue Corpus. ACL (1) 2023: 12240-12253 - [c66]Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan:
Automatic Educational Question Generation with Difficulty Level Controls. AIED 2023: 476-488 - [c65]Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan:
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. EACL 2023: 1303-1317 - [c64]Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan:
Longtonotes: OntoNotes with Longer Coreference Chains. EACL (Findings) 2023: 1398-1412 - [c63]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. EACL (Findings) 2023: 2223-2229 - [c62]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - [c61]Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) 2023: 415-438 - [c60]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective. EMNLP 2023: 808-830 - [c59]Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan:
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP 2023: 4902-4919 - [c58]Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan:
A Diachronic Perspective on User Trust in AI under Uncertainty. EMNLP 2023: 5567-5580 - [c57]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) 2023: 5602-5621 - [c56]Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan:
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP 2023: 7035-7052 - [c55]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Revisiting Automated Topic Model Evaluation with Large Language Models. EMNLP 2023: 9348-9357 - [c54]Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan:
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. EMNLP (Findings) 2023: 11817-11831 - [c53]Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan:
Enhancing Textbooks with Visuals from the Web for Improved Learning. EMNLP 2023: 11931-11944 - [c52]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. ICML 2023: 1200-1217 - [c51]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. ICML 2023: 42602-42613 - [c50]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. NeurIPS 2023 - [i70]Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan:
Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. CoRR abs/2301.09008 (2023) - [i69]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. CoRR abs/2301.09919 (2023) - [i68]Lingzhi Wang, Mrinmaya Sachan, Xingshan Zeng, Kam-Fai Wong:
Strategize Before Teaching: A Conversational Tutoring System with Pedagogy Self-Distillation. CoRR abs/2302.13496 (2023) - [i67]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. CoRR abs/2303.17574 (2023) - [i66]Vilém Zouhar, Kalvin Chang, Chenxuan Cui, Nathaniel Carlson, Nathaniel R. Robinson, Mrinmaya Sachan, David R. Mortensen:
PWESuite: Phonetic Word Embeddings and Tasks They Facilitate. CoRR abs/2304.02541 (2023) - [i65]Janvijay Singh, Vilém Zouhar, Mrinmaya Sachan:
Enhancing Textbooks with Visuals from the Web for Improved Learning. CoRR abs/2304.08931 (2023) - [i64]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan:
Controlled Text Generation with Natural Language Instructions. CoRR abs/2304.14293 (2023) - [i63]Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf:
Psychologically-Inspired Causal Prompts. CoRR abs/2305.01764 (2023) - [i62]Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR abs/2305.05471 (2023) - [i61]Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen:
Variational Classification. CoRR abs/2305.10406 (2023) - [i60]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus. CoRR abs/2305.11142 (2023) - [i59]Wangchunshu Zhou, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Efficient Prompting via Dynamic In-Context Learning. CoRR abs/2305.11170 (2023) - [i58]Dominik Stammbach, Vilém Zouhar, Alexander Miserlis Hoyle, Mrinmaya Sachan, Elliott Ash:
Re-visiting Automated Topic Model Evaluation with Large Language Models. CoRR abs/2305.12152 (2023) - [i57]Wangchunshu Zhou, Yuchen Eleanor Jiang, Peng Cui, Tiannan Wang, Zhenxin Xiao, Yifan Hou, Ryan Cotterell, Mrinmaya Sachan:
RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. CoRR abs/2305.13304 (2023) - [i56]Jingwei Ni, Zhijing Jin, Qian Wang, Mrinmaya Sachan, Markus Leippold:
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP. CoRR abs/2305.14007 (2023) - [i55]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. CoRR abs/2305.14536 (2023) - [i54]Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell:
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR abs/2305.14555 (2023) - [i53]Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan:
Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR abs/2305.15054 (2023) - [i52]Tianyu Liu, Afra Amini, Mrinmaya Sachan, Ryan Cotterell:
Learning the String Partial Order. CoRR abs/2305.15057 (2023) - [i51]Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick:
Membership Inference Attacks against Language Models via Neighbourhood Comparison. CoRR abs/2305.18462 (2023) - [i50]Peng Cui, Mrinmaya Sachan:
Adaptive and Personalized Exercise Generation for Online Language Learning. CoRR abs/2306.02457 (2023) - [i49]Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas:
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning. CoRR abs/2306.03175 (2023) - [i48]Andreas Opedal, Niklas Stoehr, Abulhair Saparov, Mrinmaya Sachan:
World Models for Math Story Problems. CoRR abs/2306.04347 (2023) - [i47]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? CoRR abs/2306.05836 (2023) - [i46]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Tim Vieira, Mrinmaya Sachan, Ryan Cotterell:
A Formal Perspective on Byte-Pair Encoding. CoRR abs/2306.16837 (2023) - [i45]Vilém Zouhar, Clara Meister, Juan Luis Gastaldi, Li Du, Mrinmaya Sachan, Ryan Cotterell:
Tokenization and the Noiseless Channel. CoRR abs/2306.16842 (2023) - [i44]Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan:
Agents: An Open-source Framework for Autonomous Language Agents. CoRR abs/2309.07870 (2023) - [i43]Shehzaad Dhuliawala, Vilém Zouhar, Mennatallah El-Assady, Mrinmaya Sachan:
A Diachronic Perspective on User Trust in AI under Uncertainty. CoRR abs/2310.13544 (2023) - [i42]Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan:
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. CoRR abs/2310.13671 (2023) - [i41]Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan:
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. CoRR abs/2310.14491 (2023) - [i40]Ishan Kumar, Zhijing Jin, Ehsan Mokhtarian, Siyuan Guo, Yuen Chen, Negar Kiyavash, Mrinmaya Sachan, Bernhard Schölkopf:
CausalCite: A Causal Formulation of Paper Citations. CoRR abs/2311.02790 (2023) - [i39]Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz:
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR abs/2311.07961 (2023) - [i38]David F. Jenny, Yann Billeter, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin:
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. CoRR abs/2311.08605 (2023) - [i37]Furui Cheng, Vilém Zouhar, Simran Arora, Mrinmaya Sachan, Hendrik Strobelt, Mennatallah El-Assady:
RELIC: Investigating Large Language Model Responses using Self-Consistency. CoRR abs/2311.16842 (2023) - [i36]Zhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf:
CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language Models. CoRR abs/2312.04350 (2023) - 2022
- [j3]Sankalan Pal Chowdhury, Adamos Solomou, Kumar Avinava Dubey, Mrinmaya Sachan:
Learning the Transformer Kernel. Trans. Mach. Learn. Res. 2022 (2022) - [c49]Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan:
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. AAAI 2022: 10720-10728 - [c48]Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan:
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. ACL (1) 2022: 1422-1442 - [c47]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. ACL (Findings) 2022: 1682-1693 - [c46]Tianyu Liu, Yuchen Eleanor Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan:
Autoregressive Structured Prediction with Language Models. EMNLP (Findings) 2022: 993-1005 - [c45]Yifan Hou, Guoji Fu, Mrinmaya Sachan:
What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP (Findings) 2022: 1417-1438 - [c44]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. EMNLP (Findings) 2022: 3902-3917 - [c43]Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan:
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. EMNLP 2022: 4136-4149 - [c42]Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan:
Differentially Private Language Models for Secure Data Sharing. EMNLP 2022: 4860-4873 - [c41]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. EMNLP (Findings) 2022: 7180-7198 - [c40]Yu Fei, Zhao Meng, Ping Nie, Roger Wattenhofer, Mrinmaya Sachan:
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. EMNLP 2022: 8560-8579 - [c39]Mattia Atzeni, Shehzaad Zuzar Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Case-based reasoning for better generalization in textual reinforcement learning. ICLR 2022 - [c38]Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer:
Self-Supervised Contrastive Learning with Adversarial Perturbations for Defending Word Substitution-based Attacks. NAACL-HLT (Findings) 2022: 87-101 - [c37]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Probing via Prompting. NAACL-HLT 2022: 1144-1157 - [c36]Yuchen Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Jian Yang, Haoyang Huang, Rico Sennrich, Ryan Cotterell, Mrinmaya Sachan, Ming Zhou:
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation. NAACL-HLT 2022: 1550-1565 - [c35]Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
A Structured Span Selector. NAACL-HLT 2022: 2629-2641 - [c34]Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. NAACL-HLT 2022: 5303-5320 - [c33]Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS 2022 - [c32]Alessandro Stolfo, Chris Tanner, Vikram Gupta, Mrinmaya Sachan:
A Simple Unsupervised Approach for Coreference Resolution using Rule-based Weak Supervision. *SEM@NAACL-HLT 2022: 79-88 - [i35]Yifan Hou, Guoji Fu, Mrinmaya Sachan:
Understanding Knowledge Integration in Language Models with Graph Convolutions. CoRR abs/2202.00964 (2022) - [i34]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. CoRR abs/2202.13758 (2022) - [i33]Daphna Keidar, Andreas Opedal, Zhijing Jin, Mrinmaya Sachan:
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. CoRR abs/2203.04651 (2022) - [i32]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. CoRR abs/2203.10623 (2022) - [i31]Jingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf:
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance. CoRR abs/2205.02293 (2022) - [i30]Tianyu Liu, Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
A Structured Span Selector. CoRR abs/2205.03977 (2022) - [i29]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Probing via Prompting. CoRR abs/2207.01736 (2022) - [i28]Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR abs/2210.01478 (2022) - [i27]Kumar Shridhar, Nicholas Monath, Raghuveer Thirukovalluru, Alessandro Stolfo, Manzil Zaheer, Andrew McCallum, Mrinmaya Sachan:
Longtonotes: OntoNotes with Longer Coreference Chains. CoRR abs/2210.03650 (2022) - [i26]Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan:
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models. CoRR abs/2210.12023 (2022) - [i25]Yifan Hou, Wenxiang Jiao, Meizhen Liu, Carl Allen, Zhaopeng Tu, Mrinmaya Sachan:
Adapters for Enhanced Modeling of Multilingual Knowledge and Text. CoRR abs/2210.13617 (2022) - [i24]Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan:
Differentially Private Language Models for Secure Data Sharing. CoRR abs/2210.13918 (2022) - [i23]Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan, Ryan Cotterell:
A Bilingual Parallel Corpus with Discourse Annotations. CoRR abs/2210.14667 (2022) - [i22]Yuchen Eleanor Jiang, Ryan Cotterell, Mrinmaya Sachan:
Investigating the Role of Centering Theory in the Context of Neural Coreference Resolution Systems. CoRR abs/2210.14678 (2022) - [i21]Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan:
Autoregressive Structured Prediction with Language Models. CoRR abs/2210.14698 (2022) - [i20]Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan:
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations. CoRR abs/2210.16637 (2022) - [i19]Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan:
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems. CoRR abs/2211.12835 (2022) - [i18]Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan:
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions. CoRR abs/2212.00193 (2022) - [i17]Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing. CoRR abs/2212.10678 (2022) - 2021
- [j2]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Differentiable Subset Pruning of Transformer Heads. Trans. Assoc. Comput. Linguistics 9: 1442-1459 (2021) - [c31]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. AAAI 2021: 9018-9027 - [c30]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations. ACL/IJCNLP (2) 2021: 719-725 - [c29]Yifan Hou, Mrinmaya Sachan:
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. ACL/IJCNLP (1) 2021: 1844-1859 - [c28]Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea:
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. ACL/IJCNLP (Findings) 2021: 3099-3113 - [c27]Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan, Andrew McCallum:
Scaling Within Document Coreference to Long Texts. ACL/IJCNLP (Findings) 2021: 3921-3931 - [c26]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. EMNLP (Findings) 2021: 1734-1752 - [c25]Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf:
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. EMNLP (1) 2021: 9499-9513 - [i16]Yifan Hou, Mrinmaya Sachan:
Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach. CoRR abs/2105.02629 (2021) - [i15]Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan, Rada Mihalcea:
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. CoRR abs/2106.02359 (2021) - [i14]Zhao Meng, Yihan Dong, Mrinmaya Sachan, Roger Wattenhofer:
Self-Supervised Contrastive Learning with Adversarial Perturbations for Robust Pretrained Language Models. CoRR abs/2107.07610 (2021) - [i13]Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan:
Differentiable Subset Pruning of Transformer Heads. CoRR abs/2108.04657 (2021) - [i12]Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, Snigdha Chaturvedi:
"Let Your Characters Tell Their Story": A Dataset for Character-Centric Narrative Understanding. CoRR abs/2109.05438 (2021) - [i11]Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf:
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. CoRR abs/2110.03618 (2021) - [i10]Sankalan Pal Chowdhury, Adamos Solomou, Avinava Dubey, Mrinmaya Sachan:
On Learning the Transformer Kernel. CoRR abs/2110.08323 (2021) - [i9]Mattia Atzeni, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan:
Case-based Reasoning for Better Generalization in Text-Adventure Games. CoRR abs/2110.08470 (2021) - 2020
- [b1]Mrinmaya Sachan:
Towards Literate Artificial Intelligence. Carnegie Mellon University, USA, 2020 - [c24]Mrinmaya Sachan:
Knowledge Graph Embedding Compression. ACL 2020: 2681-2691 - [c23]Mrinmaya Sachan:
Knowledge Graph Embedding Compression. AKBC 2020 - [i8]Keerthiram Murugesan, Mattia Atzeni, Pushkar Shukla, Mrinmaya Sachan, Pavan Kapanipathi, Kartik Talamadupula:
Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. CoRR abs/2005.00811 (2020) - [i7]Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. CoRR abs/2010.03790 (2020) - [i6]Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton:
Stronger Transformers for Neural Multi-Hop Question Generation. CoRR abs/2010.11374 (2020) - [i5]Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan:
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. CoRR abs/2010.12784 (2020)
2010 – 2019
- 2019
- [j1]Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45(4): 627-665 (2019) - 2018
- [c22]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP 2018: 425-435 - [c21]Mrinmaya Sachan, Eric P. Xing:
Parsing to Programs: A Framework for Situated QA. KDD 2018: 2140-2149 - [c20]Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing:
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. MLHC 2018: 383-402 - [c19]Mrinmaya Sachan, Eric P. Xing:
Self-Training for Jointly Learning to Ask and Answer Questions. NAACL-HLT 2018: 629-640 - [c18]Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS 2018: 140-151 - [i4]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. CoRR abs/1808.08493 (2018) - [i3]Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Information Extraction. CoRR abs/1811.05546 (2018) - 2017
- [c17]Mrinmaya Sachan, Avinava Dubey, Eric P. Xing:
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems. EMNLP 2017: 773-784 - [c16]Mrinmaya Sachan, Eric P. Xing:
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks. *SEM 2017: 251-261 - 2016
- [c15]Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing:
Science Question Answering using Instructional Materials. ACL (2) 2016 - [c14]Mrinmaya Sachan, Eric P. Xing:
Easy Questions First? A Case Study on Curriculum Learning for Question Answering. ACL (1) 2016 - [c13]Mrinmaya Sachan, Eric P. Xing:
Machine Comprehension using Rich Semantic Representations. ACL (2) 2016 - [c12]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. ACL (1) 2016 - [c11]Zhiting Hu, Gang Luo, Mrinmaya Sachan, Eric P. Xing, Zaiqing Nie:
Grounding Topic Models with Knowledge Bases. IJCAI 2016: 1578-1584 - [i2]Mrinmaya Sachan, Avinava Dubey, Eric P. Xing:
Science Question Answering using Instructional Materials. CoRR abs/1602.04375 (2016) - [i1]Hao Zhang, Zhiting Hu, Yuntian Deng, Mrinmaya Sachan, Zhicheng Yan, Eric P. Xing:
Learning Concept Taxonomies from Multi-modal Data. CoRR abs/1606.09239 (2016) - 2015
- [c10]Mrinmaya Sachan, Kumar Avinava Dubey, Eric P. Xing, Matthew Richardson:
Learning Answer-Entailing Structures for Machine Comprehension. ACL (1) 2015: 239-249 - [c9]Mrinmaya Sachan, Eduard H. Hovy, Eric P. Xing:
An Active Learning Approach to Coreference Resolution. IJCAI 2015: 1312-1318 - 2014
- [c8]Mrinmaya Sachan, Avinava Dubey, Shashank Srivastava, Eric P. Xing, Eduard H. Hovy:
Spatial compactness meets topical consistency: jointly modeling links and content for community detection. WSDM 2014: 503-512 - 2013
- [c7]Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy:
A Structured Distributional Semantic Model : Integrating Structure with Semantics. CVSM@ACL 2013: 20-29 - [c6]Kartik Goyal, Sujay Kumar Jauhar, Huiying Li, Mrinmaya Sachan, Shashank Srivastava, Eduard H. Hovy:
A Structured Distributional Semantic Model for Event Co-reference. ACL (2) 2013: 467-473 - [c5]Mrinmaya Sachan, Shashank Srivastava:
Collective matrix factorization for co-clustering. WWW (Companion Volume) 2013: 93-94 - [c4]Mrinmaya Sachan, Dirk Hovy, Eduard H. Hovy:
Solving electrical networks to incorporate supervision in random walks. WWW (Companion Volume) 2013: 109-110 - 2012
- [c3]Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam:
Using content and interactions for discovering communities in social networks. WWW 2012: 331-340 - 2011
- [c2]Mrinmaya Sachan, Danish Contractor, Tanveer A. Faruquie, L. Venkata Subramaniam:
Probabilistic model for discovering topic based communities in social networks. CIKM 2011: 2349-2352 - [c1]Mrinmaya Sachan, Tanveer A. Faruquie, L. Venkata Subramaniam, Mukesh K. Mohania:
Using Text Reviews for Product Entity Completion. IJCNLP 2011: 983-991
Coauthor Index
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