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2020 – today
- 2024
[c65]Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. ACL (Findings) 2024: 467-484- [c64]Sungho Jeon, Ching-Feng Yeh, Hakan Inan, Wei-Ning Hsu, Rashi Rungta, Yashar Mehdad, Daniel Bikel:
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. ICASSP Workshops 2024: 555-559 - [c63]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. NAACL-HLT 2024: 4643-4663 - 2023
- [c62]Minghan Li
, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. ACL (1) 2023: 11891-11907 - [c61]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR 2023: 23056-23065 - [c60]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. EMNLP (Findings) 2023: 5566-5578 - [c59]Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. EMNLP (Findings) 2023: 6385-6400 - [i42]Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. CoRR abs/2302.07452 (2023) - [i41]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CoRR abs/2303.16406 (2023) - [i40]Xilun Chen, Lili Yu, Wenhan Xiong, Barlas Oguz, Yashar Mehdad, Wen-tau Yih:
VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation. CoRR abs/2305.03204 (2023) - [i39]Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR abs/2305.17888 (2023) - [i38]Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma:
Effective Long-Context Scaling of Foundation Models. CoRR abs/2309.16039 (2023) - [i37]Sungho Jeon, Ching-Feng Yeh, Hakan Inan, Wei-Ning Hsu, Rashi Rungta, Yashar Mehdad, Daniel Bikel:
Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. CoRR abs/2311.02772 (2023) - 2022
- [c58]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) 2022: 250-262 - [c57]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. EMNLP (Findings) 2022: 3713-3724 - [c56]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. EMNLP 2022: 4949-4958 - [c55]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [c54]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. NAACL-HLT (Findings) 2022: 1535-1546 - [c53]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT 2022: 1975-1986 - [c52]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. NAACL-HLT 2022: 5657-5668 - [c51]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 - [c50]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. NeurIPS 2022 - [c49]Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad:
QUASER: Question Answering with Scalable Extractive Rationalization. SIGIR 2022: 1208-1218 - [i36]Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghuraman Krishnamoorthi, Yashar Mehdad:
BiT: Robustly Binarized Multi-distilled Transformer. CoRR abs/2205.13016 (2022) - [i35]Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Wen-tau Yih:
Adapting Pretrained Text-to-Text Models for Long Text Sequences. CoRR abs/2209.10052 (2022) - [i34]Hakan Inan, Rashi Rungta, Yashar Mehdad:
Structured Summarization: Unified Text Segmentation and Segment Labeling as a Generation Task. CoRR abs/2209.13759 (2022) - [i33]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. CoRR abs/2210.13678 (2022) - [i32]Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen:
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. CoRR abs/2211.10411 (2022) - [i31]Asish Ghoshal, Arash Einolghozati, Ankit Arun, Haoran Li, Lili Yu, Yashar Mehdad, Scott Wen-tau Yih, Asli Celikyilmaz:
Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences. CoRR abs/2212.09726 (2022) - [i30]Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev:
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. CoRR abs/2212.12652 (2022) - 2021
- [c48]Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer:
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. ACL/IJCNLP (Findings) 2021: 1103-1116 - [c47]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. ACL/IJCNLP (1) 2021: 4538-4554 - [c46]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 - [c45]Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. AISTATS 2021: 1486-1494 - [c44]Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad:
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. EACL 2021: 2950-2962 - [c43]Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. EMNLP (1) 2021: 3712-3727 - [c42]Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad:
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. ICLR 2021 - [c41]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c40]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 - [c39]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. NAACL-HLT 2021: 1280-1287 - [i29]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i28]Yilun Zhou, Adi Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal:
Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms. CoRR abs/2101.00977 (2021) - [i27]Haoran Li, Arash Einolghozati, Srinivasan Iyer, Bhargavi Paranjape, Yashar Mehdad, Sonal Gupta, Marjan Ghazvininejad:
EASE: Extractive-Abstractive Summarization with Explanations. CoRR abs/2105.06982 (2021) - [i26]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) - [i25]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. CoRR abs/2106.02134 (2021) - [i24]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR abs/2107.13602 (2021) - [i23]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) - [i22]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR abs/2110.06918 (2021) - [i21]Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad:
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR abs/2112.07210 (2021) - [i20]Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev:
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. CoRR abs/2112.08713 (2021) - 2020
- [c38]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. EMNLP (1) 2020: 5026-5035 - [c37]Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta:
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. EMNLP (1) 2020: 5090-5100 - [c36]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. EMNLP (1) 2020: 6433-6441 - [c35]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [i19]Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad:
MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. CoRR abs/2008.09335 (2020) - [i18]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i17]Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Mike Haeger, Haoran Li, Yashar Mehdad, Ves Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta:
Conversational Semantic Parsing. CoRR abs/2009.13655 (2020) - [i16]Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih:
Efficient One-Pass End-to-End Entity Linking for Questions. CoRR abs/2010.02413 (2020) - [i15]Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta:
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. CoRR abs/2010.03546 (2020) - [i14]Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih:
RECONSIDER: Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. CoRR abs/2010.10757 (2020) - [i13]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) - [i12]Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih:
Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. CoRR abs/2012.14610 (2020) - [i11]Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer:
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA. CoRR abs/2012.15075 (2020) - [i10]Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer:
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. CoRR abs/2012.15482 (2020)
2010 – 2019
- 2017
- [c34]Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. FLAIRS 2017: 32-37 - [c33]Akshay Soni, Yashar Mehdad:
RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. FLAIRS 2017: 532-537 - [c32]Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad:
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. Rep4NLP@ACL 2017: 111-120 - [c31]Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani:
Lightweight Multilingual Entity Extraction and Linking. WSDM 2017: 365-374 - [i9]Akshay Soni, Yashar Mehdad:
RIPML: A Restricted Isometry Property based Approach to Multilabel Learning. CoRR abs/1702.05181 (2017) - [i8]Swayambhoo Jain, Akshay Soni, Nikolay Laptev, Yashar Mehdad:
Rank-to-engage: New Listwise Approaches to Maximize Engagement. CoRR abs/1702.07798 (2017) - [i7]Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev:
Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. CoRR abs/1705.05765 (2017) - [i6]Sheng Chen, Akshay Soni, Aasish Pappu, Yashar Mehdad:
DocTag2Vec: An Embedding Based Multi-label Learning Approach for Document Tagging. CoRR abs/1707.04596 (2017) - 2016
- [c30]Yashar Mehdad, Amanda Stent, Kapil Thadani, Dragomir R. Radev, Youssef Billawala, Karolina Buchner:
Extractive Summarization under Strict Length Constraints. LREC 2016 - [c29]William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent:
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. HLT-NAACL 2016: 58-68 - [c28]Yashar Mehdad, Joel R. Tetreault:
Do Characters Abuse More Than Words? SIGDIAL Conference 2016: 299-303 - [c27]Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang:
Abusive Language Detection in Online User Content. WWW 2016: 145-153 - [i5]Vivek Kulkarni, Yashar Mehdad, Troy Chevalier:
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings. CoRR abs/1612.00148 (2016) - 2014
- [c26]Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng:
Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries. ACL (1) 2014: 1220-1230 - [c25]Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Bita Nejat:
Abstractive Summarization of Product Reviews Using Discourse Structure. EMNLP 2014: 1602-1613 - [c24]Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng:
A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships. INLG 2014: 45-53 - 2013
- [c23]Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Yashar Mehdad:
Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis. ACL (1) 2013: 486-496 - [c22]Yashar Mehdad, Giuseppe Carenini, Frank Wm. Tompa, Raymond T. Ng:
Abstractive Meeting Summarization with Entailment and Fusion. ENLG 2013: 136-146 - [c21]Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Shafiq R. Joty:
Towards Topic Labeling with Phrase Entailment and Aggregation. HLT-NAACL 2013: 179-189 - [c20]Matteo Negri, Alessandro Marchetti, Yashar Mehdad, Luisa Bentivogli, Danilo Giampiccolo:
Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization. SemEval@NAACL-HLT 2013: 25-33 - [c19]Maryam Tavafi, Yashar Mehdad, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng:
Dialogue Act Recognition in Synchronous and Asynchronous Conversations. SIGDIAL Conference 2013: 117-121 - 2012
- [b1]Yashar Mehdad:
Cross-Lingual Textual Entailment and Applications. University of Trento, Italy, 2012 - [c18]Yashar Mehdad, Matteo Negri, Marcello Federico:
Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents. ACL (2) 2012: 120-124 - [c17]Matteo Negri, Yashar Mehdad, Alessandro Marchetti, Danilo Giampiccolo, Luisa Bentivogli:
Chinese Whispers: Cooperative Paraphrase Acquisition. LREC 2012: 2659-2665 - [c16]Matteo Negri, Alessandro Marchetti, Yashar Mehdad, Luisa Bentivogli, Danilo Giampiccolo:
Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization. SemEval@NAACL-HLT 2012: 399-407 - [c15]José Guilherme Camargo de Souza, Matteo Negri, Yashar Mehdad:
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity. SemEval@NAACL-HLT 2012: 624-630 - [c14]Yashar Mehdad, Matteo Negri, José Guilherme Camargo de Souza:
FBK: Cross-Lingual Textual Entailment Without Translation. SemEval@NAACL-HLT 2012: 701-705 - [c13]Amit Bronner, Matteo Negri, Yashar Mehdad, Angela Fahrni, Christof Monz:
CoSyne: synchronizing multilingual wiki content. WikiSym 2012: 33 - [c12]Yashar Mehdad, Matteo Negri, Marcello Federico:
Match without a Referee: Evaluating MT Adequacy without Reference Translations. WMT@NAACL-HLT 2012: 171-180 - 2011
- [c11]Yashar Mehdad, Matteo Negri, Marcello Federico:
Using Bilingual Parallel Corpora for Cross-Lingual Textual Entailment. ACL 2011: 1336-1345 - [c10]Milen Kouylekov, Yashar Mehdad, Matteo Negri:
Is it Worth Submitting this Run? Assess your RTE System with a Good Sparring Partner. TextInfer@EMNLP 2011: 30-34 - [c9]Matteo Negri, Luisa Bentivogli, Yashar Mehdad, Danilo Giampiccolo, Alessandro Marchetti:
Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora. EMNLP 2011: 670-679 - [c8]Christof Monz, Vivi Nastase, Matteo Negri, Angela Fahrni, Yashar Mehdad, Michael Strube:
CoSyne: a framework for multilingual content synchronization of wikis. Int. Sym. Wikis 2011: 217-218 - [i4]Yashar Mehdad, José Guilherme Camargo de Souza, Matteo Negri, Alina Petrova:
FBK Participation in the RTE-7 Main Task. TAC 2011 - 2010
- [c7]Milen Kouylekov, Yashar Mehdad, Matteo Negri:
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules. LREC 2010 - [c6]Matteo Negri, Yashar Mehdad:
Creating a Bi-lingual Entailment Corpus through Translations with Mechanical Turk: $100 for a 10-day Rush. Mturk@HLT-NAACL 2010: 212-216 - [c5]Yashar Mehdad, Matteo Negri, Marcello Federico:
Towards Cross-Lingual Textual Entailment. HLT-NAACL 2010: 321-324 - [c4]Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto:
Syntactic/Semantic Structures for Textual Entailment Recognition. HLT-NAACL 2010: 1020-1028 - [i3]Milen Kouylekov, Matteo Negri, Yashar Mehdad, Elena Cabrio:
FBK Participation in RTE6: Main and KBP Validation Task. TAC 2010
2000 – 2009
- 2009
- [c3]Yashar Mehdad, Bernardo Magnini:
Optimizing Textual Entailment Recognition Using Particle Swarm Optimization. TextInfer@ACL 2009: 36-43 - [c2]Yashar Mehdad:
Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization. ACL/IJCNLP (2) 2009: 289-292 - [c1]Matteo Negri, Milen Kouylekov, Bernardo Magnini, Yashar Mehdad, Elena Cabrio:
Towards Extensible Textual Entailment Engines: The EDITS Package. AI*IA 2009: 314-323 - [i2]Yashar Mehdad, Elena Cabrio, Matteo Negri, Milen Kouylekov, Bernardo Magnini:
Using Lexical Resources in a Distance-Based Approach to RTE. TAC 2009 - [i1]Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto:
SemKer: Syntactic/Semantic Kernels for Recognizing Textual Entailment. TAC 2009
Coauthor Index
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